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Best ETL Tools

Shalaka Joshi
SJ
Researched and written by Shalaka Joshi

ETL (extract, transform, and load) tools transfer data between databases and external systems, supporting data replication, warehousing, analytics, data cleansing, and structuring, and increasingly support ELT workflows where transformation occurs within the target system rather than before loading.

Core Capabilities of ETL Tools

To qualify for inclusion in the ETL category, a product must:

Facilitate extract, transform, and load processes
Transform data for quality or visualization
Audit or record integration data
Archive data for backup, future reference, or analysis
Common Use Cases for ETL Tools

Data engineering and analytics teams use ETL tools to move and prepare data for reporting, analysis, and business intelligence. Common use cases include:

Replicating data from source systems into data warehouses for centralized analytics
Cleansing and transforming raw data into structured, queryable formats
Building visual data workflows to automate recurring data transfer and integration processes
How ETL Tools Differ from Other Tools

ETL tools pre-process and transform data before loading it into the target system, distinguishing them from ELT approaches where the target system handles transformation after loading. While data integration tools cover a broader range of connectivity scenarios, ETL tools focus specifically on structured data movement pipelines with built-in transformation, auditing, and archiving capabilities.

Insights from G2 Reviews on ETL Tools

According to G2 review data, users highlight visual workflow builders and pre-built connectors as standout features. Data teams frequently cite reductions in manual data preparation time and improved data quality as core benefits of ETL adoption.

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Featured ETL Tools At A Glance

Leader:
Google Cloud BigQuery
Google Cloud BigQuery
Highest Performer:
5X
5X
Easiest to Use:
5X
5X
Top Trending:
Peliqan
Peliqan
Show LessShow More
Highest Performer:
5X
5X
Easiest to Use:
5X
5X
Top Trending:
Peliqan
Peliqan

G2 takes pride in showing unbiased reviews on user satisfaction in our ratings and reports. We do not allow paid placements in any of our ratings, rankings, or reports. Learn about our scoring methodologies.

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246 Listings in ETL Tools Available
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Google Cloud BigQuery
(1,221)4.5 out of 5
14th Easiest To Use in ETL Tools software
View top Consulting Services for Google Cloud BigQuery
Entry Level Price:Free
  • Overview
    Expand/Collapse Overview
    • Product Description
    How are these determined?Information
    This description is provided by the seller.

    BigQuery is a fully managed, AI-ready data analytics platform that helps you maximize value from your data and is designed to be multi-engine, multi-format, and multi-cloud. Store 10 GiB of data and

    Users
    • Data Engineer
    • Data Analyst
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 38% Enterprise
    • 35% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
    • Google Cloud BigQuery Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    156
    Speed
    143
    Fast Querying
    120
    Integrations
    118
    Query Efficiency
    114
    Cons
    Expensive
    127
    Query Issues
    78
    Cost Issues
    63
    Cost Management
    60
    Learning Curve
    54
    View All Pros and Cons
  • User Satisfaction
    Expand/Collapse User Satisfaction
    • Google Cloud BigQuery features and usability ratings that predict user satisfaction
    8.6
    Has the product been a good partner in doing business?
    Average: 9.1
    8.9
    Automation
    Average: 8.9
    9.3
    Scalability
    Average: 8.6
    8.3
    Auditing
    Average: 8.0
  • Seller Details
    Expand/Collapse Seller Details
    • Seller Details
    Seller
    Google
    Company Website
    Year Founded
    1998
    HQ Location
    Mountain View, CA
    Twitter
    @google
    31,755,640 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    325,935 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

BigQuery is a fully managed, AI-ready data analytics platform that helps you maximize value from your data and is designed to be multi-engine, multi-format, and multi-cloud. Store 10 GiB of data and

Users
  • Data Engineer
  • Data Analyst
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 38% Enterprise
  • 35% Mid-Market
Google Cloud BigQuery Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
156
Speed
143
Fast Querying
120
Integrations
118
Query Efficiency
114
Cons
Expensive
127
Query Issues
78
Cost Issues
63
Cost Management
60
Learning Curve
54
View All Pros and Cons
Google Cloud BigQuery features and usability ratings that predict user satisfaction
8.6
Has the product been a good partner in doing business?
Average: 9.1
8.9
Automation
Average: 8.9
9.3
Scalability
Average: 8.6
8.3
Auditing
Average: 8.0
Seller Details
Seller
Google
Company Website
Year Founded
1998
HQ Location
Mountain View, CA
Twitter
@google
31,755,640 Twitter followers
LinkedIn® Page
www.linkedin.com
325,935 employees on LinkedIn®
Databricks
(660)4.6 out of 5
Optimized for quick response
7th Easiest To Use in ETL Tools software
View top Consulting Services for Databricks
  • Overview
    Expand/Collapse Overview
    • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and over 60% of the Fortune 500 — rely on Data

    Users
    • Data Engineer
    • Data Analyst
    Industries
    • Information Technology and Services
    • Financial Services
    Market Segment
    • 46% Enterprise
    • 37% Mid-Market
    User Sentiment
    How are these determined?Information
    These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
    • Databricks Data Intelligence Platform is a unified data engineering platform for lakehouse architecture with cloud integration, designed to accommodate business and official data for detailed analytics and future growth planning.
    • Users frequently mention the platform's data governance capabilities, its support for machine learning applications, and its helpful autofilling features, as well as its seamless integration with other tools like Power BI for reporting.
    • Users mentioned challenges such as the complexity of fine-tuning the platform to specific business use cases, the need for a team of professionals to handle large data, and the financial investment involved in using the platform.
  • Pros and Cons
    Expand/Collapse Pros and Cons
    • Databricks Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Features
    288
    Ease of Use
    278
    Integrations
    189
    Collaboration
    150
    Data Management
    150
    Cons
    Learning Curve
    112
    Expensive
    97
    Steep Learning Curve
    96
    Missing Features
    69
    Complexity
    64
    View All Pros and Cons
  • User Satisfaction
    Expand/Collapse User Satisfaction
    • Databricks features and usability ratings that predict user satisfaction
    8.9
    Has the product been a good partner in doing business?
    Average: 9.1
    9.0
    Automation
    Average: 8.9
    9.1
    Scalability
    Average: 8.6
    8.5
    Auditing
    Average: 8.0
  • Seller Details
    Expand/Collapse Seller Details
    • Seller Details
    Seller
    Databricks Inc.
    Company Website
    Year Founded
    2013
    HQ Location
    San Francisco, CA
    Twitter
    @databricks
    88,028 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    13,825 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and over 60% of the Fortune 500 — rely on Data

Users
  • Data Engineer
  • Data Analyst
Industries
  • Information Technology and Services
  • Financial Services
Market Segment
  • 46% Enterprise
  • 37% Mid-Market
User Sentiment
How are these determined?Information
These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
  • Databricks Data Intelligence Platform is a unified data engineering platform for lakehouse architecture with cloud integration, designed to accommodate business and official data for detailed analytics and future growth planning.
  • Users frequently mention the platform's data governance capabilities, its support for machine learning applications, and its helpful autofilling features, as well as its seamless integration with other tools like Power BI for reporting.
  • Users mentioned challenges such as the complexity of fine-tuning the platform to specific business use cases, the need for a team of professionals to handle large data, and the financial investment involved in using the platform.
Databricks Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Features
288
Ease of Use
278
Integrations
189
Collaboration
150
Data Management
150
Cons
Learning Curve
112
Expensive
97
Steep Learning Curve
96
Missing Features
69
Complexity
64
View All Pros and Cons
Databricks features and usability ratings that predict user satisfaction
8.9
Has the product been a good partner in doing business?
Average: 9.1
9.0
Automation
Average: 8.9
9.1
Scalability
Average: 8.6
8.5
Auditing
Average: 8.0
Seller Details
Seller
Databricks Inc.
Company Website
Year Founded
2013
HQ Location
San Francisco, CA
Twitter
@databricks
88,028 Twitter followers
LinkedIn® Page
www.linkedin.com
13,825 employees on LinkedIn®
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Celigo
(1,025)4.7 out of 5
Optimized for quick response
4th Easiest To Use in ETL Tools software
View top Consulting Services for Celigo
Entry Level Price:Free
  • Overview
    Expand/Collapse Overview
    • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Celigo is a modern Integration Platform as a Service (iPaaS) solution designed to help users streamline and automate their mission-critical business processes. With a focus on addressing the most pres

    Users
    • IT Manager
    • NetSuite Administrator
    Industries
    • Retail
    • Computer Software
    Market Segment
    • 58% Mid-Market
    • 37% Small-Business
    User Sentiment
    How are these determined?Information
    These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
    • Celigo is an integration tool that provides solutions for connecting various business platforms and automating workflows.
    • Reviewers like Celigo's user-friendly interface, robust integration capabilities, and the support received, which allows for in-depth configuration to support various customer requirements.
    • Reviewers experienced a learning curve with Celigo, noting that it requires some technical knowledge for effective use and that error messages can sometimes be vague, making troubleshooting complex issues time-consuming.
  • Pros and Cons
    Expand/Collapse Pros and Cons
    • Celigo Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    469
    Integrations
    299
    Integration Capabilities
    290
    Easy Integrations
    254
    Customer Support
    222
    Cons
    Error Handling
    108
    Expensive
    96
    Learning Curve
    92
    Pricing Issues
    70
    Complexity
    69
    View All Pros and Cons
  • User Satisfaction
    Expand/Collapse User Satisfaction
    • Celigo features and usability ratings that predict user satisfaction
    9.2
    Has the product been a good partner in doing business?
    Average: 9.1
    0.0
    No information available
    0.0
    No information available
    0.0
    No information available
  • Seller Details
    Expand/Collapse Seller Details
    • Seller Details
    Seller
    Celigo
    Company Website
    Year Founded
    2011
    HQ Location
    Redwood City, California
    Twitter
    @celigoinc
    1,433 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    740 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Celigo is a modern Integration Platform as a Service (iPaaS) solution designed to help users streamline and automate their mission-critical business processes. With a focus on addressing the most pres

Users
  • IT Manager
  • NetSuite Administrator
Industries
  • Retail
  • Computer Software
Market Segment
  • 58% Mid-Market
  • 37% Small-Business
User Sentiment
How are these determined?Information
These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
  • Celigo is an integration tool that provides solutions for connecting various business platforms and automating workflows.
  • Reviewers like Celigo's user-friendly interface, robust integration capabilities, and the support received, which allows for in-depth configuration to support various customer requirements.
  • Reviewers experienced a learning curve with Celigo, noting that it requires some technical knowledge for effective use and that error messages can sometimes be vague, making troubleshooting complex issues time-consuming.
Celigo Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
469
Integrations
299
Integration Capabilities
290
Easy Integrations
254
Customer Support
222
Cons
Error Handling
108
Expensive
96
Learning Curve
92
Pricing Issues
70
Complexity
69
View All Pros and Cons
Celigo features and usability ratings that predict user satisfaction
9.2
Has the product been a good partner in doing business?
Average: 9.1
0.0
No information available
0.0
No information available
0.0
No information available
Seller Details
Seller
Celigo
Company Website
Year Founded
2011
HQ Location
Redwood City, California
Twitter
@celigoinc
1,433 Twitter followers
LinkedIn® Page
www.linkedin.com
740 employees on LinkedIn®
IBM watsonx.data
(149)4.4 out of 5
Optimized for quick response
  • Overview
    Expand/Collapse Overview
    • Product Description
    How are these determined?Information
    This description is provided by the seller.

    IBM® watsonx.data® helps you access, integrate and understand all your data —structured and unstructured—across any environment. It optimizes workloads for price and performance while enforcing consis

    Users
    • Software Engineer
    • CEO
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 34% Small-Business
    • 34% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
    • IBM watsonx.data Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    67
    Features
    47
    Data Management
    41
    Integrations
    33
    Analytics
    31
    Cons
    Learning Curve
    38
    Complexity
    25
    Expensive
    20
    Difficult Setup
    17
    Difficulty
    17
    View All Pros and Cons
  • User Satisfaction
    Expand/Collapse User Satisfaction
    • IBM watsonx.data features and usability ratings that predict user satisfaction
    8.7
    Has the product been a good partner in doing business?
    Average: 9.1
    6.7
    Automation
    Average: 8.9
    5.0
    Scalability
    Average: 8.6
    3.3
    Auditing
    Average: 8.0
  • Seller Details
    Expand/Collapse Seller Details
    • Seller Details
    Seller
    IBM
    Company Website
    Year Founded
    1911
    HQ Location
    Armonk, NY
    Twitter
    @IBM
    708,798 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    339,241 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

IBM® watsonx.data® helps you access, integrate and understand all your data —structured and unstructured—across any environment. It optimizes workloads for price and performance while enforcing consis

Users
  • Software Engineer
  • CEO
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 34% Small-Business
  • 34% Enterprise
IBM watsonx.data Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
67
Features
47
Data Management
41
Integrations
33
Analytics
31
Cons
Learning Curve
38
Complexity
25
Expensive
20
Difficult Setup
17
Difficulty
17
View All Pros and Cons
IBM watsonx.data features and usability ratings that predict user satisfaction
8.7
Has the product been a good partner in doing business?
Average: 9.1
6.7
Automation
Average: 8.9
5.0
Scalability
Average: 8.6
3.3
Auditing
Average: 8.0
Seller Details
Seller
IBM
Company Website
Year Founded
1911
HQ Location
Armonk, NY
Twitter
@IBM
708,798 Twitter followers
LinkedIn® Page
www.linkedin.com
339,241 employees on LinkedIn®
Workato
(751)4.7 out of 5
Optimized for quick response
9th Easiest To Use in ETL Tools software
View top Consulting Services for Workato
Entry Level Price:Free
  • Overview
    Expand/Collapse Overview
    • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Workato is the #1-rated iPaaS and the leader in Enterprise MCP — the platform enterprises trust to unify integration, automation, and AI in one secure, cloud-native runtime. Trusted by over 12,000 cus

    Users
    • Software Engineer
    • Senior Software Engineer
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 43% Mid-Market
    • 33% Enterprise
    User Sentiment
    How are these determined?Information
    These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
    • Workato is a 'low code' recipe builder designed to create complex automations and sophisticated workflows, with a library of pre-built connectors for linking various apps.
    • Reviewers like Workato's user-friendly interface, powerful automation capabilities, and the ability to create complex automations with minimal effort, which speeds up workflow setup and reduces errors.
    • Users reported that Workato's high pricing and steep learning curve for complex logic can be barriers for smaller teams, and its complex workflows can be hard to manage.
  • Pros and Cons
    Expand/Collapse Pros and Cons
    • Workato Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    366
    Integrations
    245
    Easy Integrations
    232
    Automation
    198
    Features
    195
    Cons
    Complexity
    83
    Learning Curve
    77
    Missing Features
    77
    Data Limitations
    76
    Expensive
    71
    View All Pros and Cons
  • User Satisfaction
    Expand/Collapse User Satisfaction
    • Workato features and usability ratings that predict user satisfaction
    9.4
    Has the product been a good partner in doing business?
    Average: 9.1
    9.2
    Automation
    Average: 8.9
    9.0
    Scalability
    Average: 8.6
    8.3
    Auditing
    Average: 8.0
  • Seller Details
    Expand/Collapse Seller Details
    • Seller Details
    Seller
    Workato
    Company Website
    Year Founded
    2013
    HQ Location
    Mountain View, California
    Twitter
    @Workato
    3,584 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    1,291 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Workato is the #1-rated iPaaS and the leader in Enterprise MCP — the platform enterprises trust to unify integration, automation, and AI in one secure, cloud-native runtime. Trusted by over 12,000 cus

Users
  • Software Engineer
  • Senior Software Engineer
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 43% Mid-Market
  • 33% Enterprise
User Sentiment
How are these determined?Information
These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
  • Workato is a 'low code' recipe builder designed to create complex automations and sophisticated workflows, with a library of pre-built connectors for linking various apps.
  • Reviewers like Workato's user-friendly interface, powerful automation capabilities, and the ability to create complex automations with minimal effort, which speeds up workflow setup and reduces errors.
  • Users reported that Workato's high pricing and steep learning curve for complex logic can be barriers for smaller teams, and its complex workflows can be hard to manage.
Workato Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
366
Integrations
245
Easy Integrations
232
Automation
198
Features
195
Cons
Complexity
83
Learning Curve
77
Missing Features
77
Data Limitations
76
Expensive
71
View All Pros and Cons
Workato features and usability ratings that predict user satisfaction
9.4
Has the product been a good partner in doing business?
Average: 9.1
9.2
Automation
Average: 8.9
9.0
Scalability
Average: 8.6
8.3
Auditing
Average: 8.0
Seller Details
Seller
Workato
Company Website
Year Founded
2013
HQ Location
Mountain View, California
Twitter
@Workato
3,584 Twitter followers
LinkedIn® Page
www.linkedin.com
1,291 employees on LinkedIn®
SnapLogic Intelligent Integration Platform (IIP)
(398)4.4 out of 5
Optimized for quick response
10th Easiest To Use in ETL Tools software
View top Consulting Services for SnapLogic Intelligent Integration Platform (IIP)
  • Overview
    Expand/Collapse Overview
    • Product Description
    How are these determined?Information
    This description is provided by the seller.

    SnapLogic is the leader in generative integration. As a pioneer in AI-led integration, the SnapLogic Platform accelerates digital transformation across the enterprise and empowers everyone to integrat

    Users
    • Data Engineer
    • Consultant
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 46% Enterprise
    • 36% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
    • SnapLogic Intelligent Integration Platform (IIP) Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    85
    Easy Integrations
    70
    Integrations
    54
    User Interface
    50
    Automation
    43
    Cons
    Performance Issues
    31
    Poor Performance
    25
    Technical Difficulties
    25
    Complexity
    22
    Error Reporting
    22
    View All Pros and Cons
  • User Satisfaction
    Expand/Collapse User Satisfaction
    • SnapLogic Intelligent Integration Platform (IIP) features and usability ratings that predict user satisfaction
    8.8
    Has the product been a good partner in doing business?
    Average: 9.1
    8.6
    Automation
    Average: 8.9
    8.4
    Scalability
    Average: 8.6
    8.1
    Auditing
    Average: 8.0
  • Seller Details
    Expand/Collapse Seller Details
    • Seller Details
    Seller
    SnapLogic
    Company Website
    Year Founded
    2006
    HQ Location
    San Mateo, CA
    Twitter
    @SnapLogic
    7,360 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    335 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

SnapLogic is the leader in generative integration. As a pioneer in AI-led integration, the SnapLogic Platform accelerates digital transformation across the enterprise and empowers everyone to integrat

Users
  • Data Engineer
  • Consultant
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 46% Enterprise
  • 36% Mid-Market
SnapLogic Intelligent Integration Platform (IIP) Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
85
Easy Integrations
70
Integrations
54
User Interface
50
Automation
43
Cons
Performance Issues
31
Poor Performance
25
Technical Difficulties
25
Complexity
22
Error Reporting
22
View All Pros and Cons
SnapLogic Intelligent Integration Platform (IIP) features and usability ratings that predict user satisfaction
8.8
Has the product been a good partner in doing business?
Average: 9.1
8.6
Automation
Average: 8.9
8.4
Scalability
Average: 8.6
8.1
Auditing
Average: 8.0
Seller Details
Seller
SnapLogic
Company Website
Year Founded
2006
HQ Location
San Mateo, CA
Twitter
@SnapLogic
7,360 Twitter followers
LinkedIn® Page
www.linkedin.com
335 employees on LinkedIn®
Domo
(986)4.3 out of 5
Optimized for quick response
View top Consulting Services for Domo
Free trial available
  • Overview
    Expand/Collapse Overview
    • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Domo's AI and Data Products Platform empowers organizations to turn data into actionable insights and solutions. It allows users to seamlessly connect diverse data sources, prepare data for use, and g

    Users
    • Data Analyst
    • Business Analyst
    Industries
    • Computer Software
    • Marketing and Advertising
    Market Segment
    • 49% Mid-Market
    • 29% Enterprise
    User Sentiment
    How are these determined?Information
    These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
    • Domo is a business intelligence tool used to aggregate data from various sources and display it in a unified manner, with features such as custom visualization and app creation.
    • Reviewers appreciate Domo's ease of use, its ability to cater to non-technical users, and its Magic ETL feature which simplifies data transformation and visualization.
    • Users experienced issues with Domo's performance during product launches, difficulties in data cleaning and sorting, and complexities in the pricing model and licensing.
  • Pros and Cons
    Expand/Collapse Pros and Cons
    • Domo Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    248
    Data Visualization
    116
    Intuitive
    95
    Easy Integrations
    93
    Integrations
    88
    Cons
    Learning Curve
    66
    Missing Features
    59
    Data Management Issues
    55
    Expensive
    45
    Complexity
    43
    View All Pros and Cons
  • User Satisfaction
    Expand/Collapse User Satisfaction
    • Domo features and usability ratings that predict user satisfaction
    8.8
    Has the product been a good partner in doing business?
    Average: 9.1
    8.5
    Automation
    Average: 8.9
    7.9
    Scalability
    Average: 8.6
    7.2
    Auditing
    Average: 8.0
  • Seller Details
    Expand/Collapse Seller Details
    • Seller Details
    Seller
    Domo
    Company Website
    Year Founded
    2010
    HQ Location
    American Fork, UT
    Twitter
    @Domotalk
    63,809 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    1,336 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Domo's AI and Data Products Platform empowers organizations to turn data into actionable insights and solutions. It allows users to seamlessly connect diverse data sources, prepare data for use, and g

Users
  • Data Analyst
  • Business Analyst
Industries
  • Computer Software
  • Marketing and Advertising
Market Segment
  • 49% Mid-Market
  • 29% Enterprise
User Sentiment
How are these determined?Information
These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
  • Domo is a business intelligence tool used to aggregate data from various sources and display it in a unified manner, with features such as custom visualization and app creation.
  • Reviewers appreciate Domo's ease of use, its ability to cater to non-technical users, and its Magic ETL feature which simplifies data transformation and visualization.
  • Users experienced issues with Domo's performance during product launches, difficulties in data cleaning and sorting, and complexities in the pricing model and licensing.
Domo Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
248
Data Visualization
116
Intuitive
95
Easy Integrations
93
Integrations
88
Cons
Learning Curve
66
Missing Features
59
Data Management Issues
55
Expensive
45
Complexity
43
View All Pros and Cons
Domo features and usability ratings that predict user satisfaction
8.8
Has the product been a good partner in doing business?
Average: 9.1
8.5
Automation
Average: 8.9
7.9
Scalability
Average: 8.6
7.2
Auditing
Average: 8.0
Seller Details
Seller
Domo
Company Website
Year Founded
2010
HQ Location
American Fork, UT
Twitter
@Domotalk
63,809 Twitter followers
LinkedIn® Page
www.linkedin.com
1,336 employees on LinkedIn®
Fivetran
(781)4.3 out of 5
Optimized for quick response
11th Easiest To Use in ETL Tools software
View top Consulting Services for Fivetran
Entry Level Price:Free
  • Overview
    Expand/Collapse Overview
    • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Shaped by the real-world needs of data analysts, Fivetran technology is the smartest, fastest way to replicate your applications, databases, events and files into a high-performance cloud warehouse. F

    Users
    • Data Engineer
    • Data Analyst
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 59% Mid-Market
    • 28% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
    • Fivetran Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    203
    Easy Setup
    82
    Easy Integration
    73
    Customer Support
    64
    User Interface
    62
    Cons
    Sync Issues
    60
    Expensive
    46
    Integration Issues
    30
    Pricing Issues
    28
    Learning Curve
    27
    View All Pros and Cons
  • User Satisfaction
    Expand/Collapse User Satisfaction
    • Fivetran features and usability ratings that predict user satisfaction
    8.7
    Has the product been a good partner in doing business?
    Average: 9.1
    9.0
    Automation
    Average: 8.9
    8.6
    Scalability
    Average: 8.6
    7.4
    Auditing
    Average: 8.0
  • Seller Details
    Expand/Collapse Seller Details
    • Seller Details
    Seller
    Fivetran
    Company Website
    Year Founded
    2012
    HQ Location
    Oakland, CA
    Twitter
    @fivetran
    5,713 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    1,738 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Shaped by the real-world needs of data analysts, Fivetran technology is the smartest, fastest way to replicate your applications, databases, events and files into a high-performance cloud warehouse. F

Users
  • Data Engineer
  • Data Analyst
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 59% Mid-Market
  • 28% Small-Business
Fivetran Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
203
Easy Setup
82
Easy Integration
73
Customer Support
64
User Interface
62
Cons
Sync Issues
60
Expensive
46
Integration Issues
30
Pricing Issues
28
Learning Curve
27
View All Pros and Cons
Fivetran features and usability ratings that predict user satisfaction
8.7
Has the product been a good partner in doing business?
Average: 9.1
9.0
Automation
Average: 8.9
8.6
Scalability
Average: 8.6
7.4
Auditing
Average: 8.0
Seller Details
Seller
Fivetran
Company Website
Year Founded
2012
HQ Location
Oakland, CA
Twitter
@fivetran
5,713 Twitter followers
LinkedIn® Page
www.linkedin.com
1,738 employees on LinkedIn®
5X
(81)4.9 out of 5
1st Easiest To Use in ETL Tools software
Entry Level Price:Free
  • Overview
    Expand/Collapse Overview
    • Product Description
    How are these determined?Information
    This description is provided by the seller.

    5X is an end-to-end data and AI platform. The platform organizes your data regardless of source or format. Whether you have a dedicated data team or not, our platform
transforms fragmented data into a

    Users
    No information available
    Industries
    • Computer Software
    • Financial Services
    Market Segment
    • 56% Mid-Market
    • 40% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
    • 5X Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    28
    Customer Support
    18
    Features
    14
    Integrations
    13
    Data Integration
    10
    Cons
    Steep Learning Curve
    5
    Complex Setup
    4
    Feature Limitations
    4
    Learning Curve
    4
    Difficult Setup
    3
    View All Pros and Cons
  • User Satisfaction
    Expand/Collapse User Satisfaction
    • 5X features and usability ratings that predict user satisfaction
    9.8
    Has the product been a good partner in doing business?
    Average: 9.1
    9.5
    Automation
    Average: 8.9
    9.5
    Scalability
    Average: 8.6
    9.4
    Auditing
    Average: 8.0
  • Seller Details
    Expand/Collapse Seller Details
    • Seller Details
    Seller
    5X
    Company Website
    Year Founded
    2020
    HQ Location
    San Francisco
    Twitter
    @DataWith5x
    49 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    128 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

5X is an end-to-end data and AI platform. The platform organizes your data regardless of source or format. Whether you have a dedicated data team or not, our platform
transforms fragmented data into a

Users
No information available
Industries
  • Computer Software
  • Financial Services
Market Segment
  • 56% Mid-Market
  • 40% Small-Business
5X Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
28
Customer Support
18
Features
14
Integrations
13
Data Integration
10
Cons
Steep Learning Curve
5
Complex Setup
4
Feature Limitations
4
Learning Curve
4
Difficult Setup
3
View All Pros and Cons
5X features and usability ratings that predict user satisfaction
9.8
Has the product been a good partner in doing business?
Average: 9.1
9.5
Automation
Average: 8.9
9.5
Scalability
Average: 8.6
9.4
Auditing
Average: 8.0
Seller Details
Seller
5X
Company Website
Year Founded
2020
HQ Location
San Francisco
Twitter
@DataWith5x
49 Twitter followers
LinkedIn® Page
www.linkedin.com
128 employees on LinkedIn®
IBM StreamSets
(117)4.0 out of 5
Entry Level Price:Contact Us
  • Overview
    Expand/Collapse Overview
    • Product Description
    How are these determined?Information
    This description is provided by the seller.

    IBM StreamSets is a robust streaming data integration tool for hybrid, multi-cloud environments that enables real-time decision making. It allows ingestion and in-flight transformation of structured,

    Users
    • Data Engineer
    • Software Engineer
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 42% Enterprise
    • 33% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
    • IBM StreamSets Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    30
    User Interface
    16
    Data Management
    15
    Data Pipelining
    15
    Integrations
    14
    Cons
    Learning Curve
    13
    Expensive
    10
    Learning Difficulty
    8
    Slow Performance
    8
    Steep Learning Curve
    8
    View All Pros and Cons
  • User Satisfaction
    Expand/Collapse User Satisfaction
    • IBM StreamSets features and usability ratings that predict user satisfaction
    8.2
    Has the product been a good partner in doing business?
    Average: 9.1
    7.7
    Automation
    Average: 8.9
    7.6
    Scalability
    Average: 8.6
    7.2
    Auditing
    Average: 8.0
  • Seller Details
    Expand/Collapse Seller Details
    • Seller Details
    Seller
    IBM
    Year Founded
    1911
    HQ Location
    Armonk, NY
    Twitter
    @IBM
    708,798 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    339,241 employees on LinkedIn®
    Ownership
    SWX:IBM
Product Description
How are these determined?Information
This description is provided by the seller.

IBM StreamSets is a robust streaming data integration tool for hybrid, multi-cloud environments that enables real-time decision making. It allows ingestion and in-flight transformation of structured,

Users
  • Data Engineer
  • Software Engineer
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 42% Enterprise
  • 33% Mid-Market
IBM StreamSets Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
30
User Interface
16
Data Management
15
Data Pipelining
15
Integrations
14
Cons
Learning Curve
13
Expensive
10
Learning Difficulty
8
Slow Performance
8
Steep Learning Curve
8
View All Pros and Cons
IBM StreamSets features and usability ratings that predict user satisfaction
8.2
Has the product been a good partner in doing business?
Average: 9.1
7.7
Automation
Average: 8.9
7.6
Scalability
Average: 8.6
7.2
Auditing
Average: 8.0
Seller Details
Seller
IBM
Year Founded
1911
HQ Location
Armonk, NY
Twitter
@IBM
708,798 Twitter followers
LinkedIn® Page
www.linkedin.com
339,241 employees on LinkedIn®
Ownership
SWX:IBM
Azure Data Factory
(95)4.6 out of 5
View top Consulting Services for Azure Data Factory
  • Overview
    Expand/Collapse Overview
    • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Azure Data Factory (ADF) is a fully managed, serverless data integration service designed to simplify the process of ingesting, preparing, and transforming data from diverse sources. It enables organi

    Users
    • Data Engineer
    • Software Engineer
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 62% Enterprise
    • 27% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
    • Azure Data Factory Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Data Integration
    7
    Ease of Use
    7
    Connectors
    6
    Integrations
    6
    Scalability
    5
    Cons
    Debugging Difficulty
    5
    Difficult Debugging
    4
    Expensive
    4
    Feature Limitations
    4
    Complexity
    3
    View All Pros and Cons
  • User Satisfaction
    Expand/Collapse User Satisfaction
    • Azure Data Factory features and usability ratings that predict user satisfaction
    9.1
    Has the product been a good partner in doing business?
    Average: 9.1
    9.2
    Automation
    Average: 8.9
    9.1
    Scalability
    Average: 8.6
    8.4
    Auditing
    Average: 8.0
  • Seller Details
    Expand/Collapse Seller Details
    • Seller Details
    Seller
    Microsoft
    Year Founded
    1975
    HQ Location
    Redmond, Washington
    Twitter
    @microsoft
    13,088,873 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    226,132 employees on LinkedIn®
    Ownership
    MSFT
Product Description
How are these determined?Information
This description is provided by the seller.

Azure Data Factory (ADF) is a fully managed, serverless data integration service designed to simplify the process of ingesting, preparing, and transforming data from diverse sources. It enables organi

Users
  • Data Engineer
  • Software Engineer
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 62% Enterprise
  • 27% Mid-Market
Azure Data Factory Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Data Integration
7
Ease of Use
7
Connectors
6
Integrations
6
Scalability
5
Cons
Debugging Difficulty
5
Difficult Debugging
4
Expensive
4
Feature Limitations
4
Complexity
3
View All Pros and Cons
Azure Data Factory features and usability ratings that predict user satisfaction
9.1
Has the product been a good partner in doing business?
Average: 9.1
9.2
Automation
Average: 8.9
9.1
Scalability
Average: 8.6
8.4
Auditing
Average: 8.0
Seller Details
Seller
Microsoft
Year Founded
1975
HQ Location
Redmond, Washington
Twitter
@microsoft
13,088,873 Twitter followers
LinkedIn® Page
www.linkedin.com
226,132 employees on LinkedIn®
Ownership
MSFT
Boomi Data Integration
(121)4.7 out of 5
View top Consulting Services for Boomi Data Integration
Entry Level Price:$0.75
  • Overview
    Expand/Collapse Overview
    • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Rivery's SaaS platform provides a unified solution for ELT pipelines, workflow orchestration, and data operations. Achieve more with less and create the most efficient, scalable data stack for your or

    Users
    • Data Engineer
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 42% Mid-Market
    • 36% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
    • Boomi Data Integration Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    5
    Customer Support
    4
    Data Management
    4
    Automation
    3
    Implementation Ease
    3
    Cons
    Data Limitations
    1
    Information Deficiency
    1
    Insufficient Information
    1
    Lacking Features
    1
    Limited Features
    1
    View All Pros and Cons
  • User Satisfaction
    Expand/Collapse User Satisfaction
    • Boomi Data Integration features and usability ratings that predict user satisfaction
    9.6
    Has the product been a good partner in doing business?
    Average: 9.1
    9.5
    Automation
    Average: 8.9
    9.3
    Scalability
    Average: 8.6
    8.8
    Auditing
    Average: 8.0
  • Seller Details
    Expand/Collapse Seller Details
    • Seller Details
    Seller
    Boomi
    Year Founded
    2000
    HQ Location
    Chesterbrook, PA
    Twitter
    @boomi
    101,375 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    2,874 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Rivery's SaaS platform provides a unified solution for ELT pipelines, workflow orchestration, and data operations. Achieve more with less and create the most efficient, scalable data stack for your or

Users
  • Data Engineer
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 42% Mid-Market
  • 36% Small-Business
Boomi Data Integration Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
5
Customer Support
4
Data Management
4
Automation
3
Implementation Ease
3
Cons
Data Limitations
1
Information Deficiency
1
Insufficient Information
1
Lacking Features
1
Limited Features
1
View All Pros and Cons
Boomi Data Integration features and usability ratings that predict user satisfaction
9.6
Has the product been a good partner in doing business?
Average: 9.1
9.5
Automation
Average: 8.9
9.3
Scalability
Average: 8.6
8.8
Auditing
Average: 8.0
Seller Details
Seller
Boomi
Year Founded
2000
HQ Location
Chesterbrook, PA
Twitter
@boomi
101,375 Twitter followers
LinkedIn® Page
www.linkedin.com
2,874 employees on LinkedIn®
Skyvia
(299)4.8 out of 5
6th Easiest To Use in ETL Tools software
Entry Level Price:$79.00
  • Overview
    Expand/Collapse Overview
    • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Skyvia is a no-code cloud data integration and data pipeline platform that enables ETL, ELT, Reverse ETL, data migration, one-way and bi-directional data sync, workflow automation, real-time connectiv

    Users
    • Chief Executive Officer
    • CEO
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 55% Small-Business
    • 35% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
    • Skyvia Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    50
    Easy Integrations
    34
    Easy Setup
    33
    Setup Ease
    31
    Data Management
    27
    Cons
    Information Deficiency
    8
    Difficult Setup
    7
    Feature Limitations
    7
    Learning Curve
    7
    Poor Documentation
    7
    View All Pros and Cons
  • User Satisfaction
    Expand/Collapse User Satisfaction
    • Skyvia features and usability ratings that predict user satisfaction
    9.3
    Has the product been a good partner in doing business?
    Average: 9.1
    9.4
    Automation
    Average: 8.9
    9.3
    Scalability
    Average: 8.6
    8.9
    Auditing
    Average: 8.0
  • Seller Details
    Expand/Collapse Seller Details
    • Seller Details
    Seller
    Devart
    Year Founded
    1997
    HQ Location
    Wilmington, Delaware, USA
    Twitter
    @DevartSoftware
    1,744 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    251 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Skyvia is a no-code cloud data integration and data pipeline platform that enables ETL, ELT, Reverse ETL, data migration, one-way and bi-directional data sync, workflow automation, real-time connectiv

Users
  • Chief Executive Officer
  • CEO
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 55% Small-Business
  • 35% Mid-Market
Skyvia Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
50
Easy Integrations
34
Easy Setup
33
Setup Ease
31
Data Management
27
Cons
Information Deficiency
8
Difficult Setup
7
Feature Limitations
7
Learning Curve
7
Poor Documentation
7
View All Pros and Cons
Skyvia features and usability ratings that predict user satisfaction
9.3
Has the product been a good partner in doing business?
Average: 9.1
9.4
Automation
Average: 8.9
9.3
Scalability
Average: 8.6
8.9
Auditing
Average: 8.0
Seller Details
Seller
Devart
Year Founded
1997
HQ Location
Wilmington, Delaware, USA
Twitter
@DevartSoftware
1,744 Twitter followers
LinkedIn® Page
www.linkedin.com
251 employees on LinkedIn®
MuleSoft Anypoint Platform
(714)4.5 out of 5
Optimized for quick response
View top Consulting Services for MuleSoft Anypoint Platform
  • Overview
    Expand/Collapse Overview
    • Product Description
    How are these determined?Information
    This description is provided by the seller.

    MuleSoft enables businesses to transform into customer-first companies by enabling a single customer view across hundreds of systems and touchpoints using one unified platform. With MuleSoft, organiza

    Users
    • Software Engineer
    • Senior Software Engineer
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 58% Enterprise
    • 31% Mid-Market
    User Sentiment
    How are these determined?Information
    These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
    • MuleSoft Anypoint Platform is a tool for MuleSoft that serves as the Control Plane and Runtime Plane for MuleSoft APIs, allowing deployment and management of CloudHub APIs and addition of policies through the API Manager.
    • Reviewers frequently mention the platform's API-led connectivity approach, reusable components, clear view of all the APIs and data flows, and the ability to read AI-driven recommendations for data transformations, all of which speed up project delivery and reduce development time.
    • Users reported concerns with the licensing and overall cost of ownership, the vCore-based pricing structure making scaling difficult and costly, a steep learning curve for new developers, and some performance issues.
  • Pros and Cons
    Expand/Collapse Pros and Cons
    • MuleSoft Anypoint Platform Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    23
    Integration Capabilities
    23
    Easy Integrations
    20
    Features
    20
    API Management
    18
    Cons
    Learning Curve
    13
    Expensive
    12
    Learning Difficulty
    10
    Steep Learning Curve
    10
    Difficult Learning
    9
    View All Pros and Cons
  • User Satisfaction
    Expand/Collapse User Satisfaction
    • MuleSoft Anypoint Platform features and usability ratings that predict user satisfaction
    8.8
    Has the product been a good partner in doing business?
    Average: 9.1
    8.8
    Automation
    Average: 8.9
    8.9
    Scalability
    Average: 8.6
    8.3
    Auditing
    Average: 8.0
  • Seller Details
    Expand/Collapse Seller Details
    • Seller Details
    Seller
    Salesforce
    Company Website
    Year Founded
    1999
    HQ Location
    San Francisco, CA
    Twitter
    @salesforce
    580,922 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    86,064 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

MuleSoft enables businesses to transform into customer-first companies by enabling a single customer view across hundreds of systems and touchpoints using one unified platform. With MuleSoft, organiza

Users
  • Software Engineer
  • Senior Software Engineer
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 58% Enterprise
  • 31% Mid-Market
User Sentiment
How are these determined?Information
These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
  • MuleSoft Anypoint Platform is a tool for MuleSoft that serves as the Control Plane and Runtime Plane for MuleSoft APIs, allowing deployment and management of CloudHub APIs and addition of policies through the API Manager.
  • Reviewers frequently mention the platform's API-led connectivity approach, reusable components, clear view of all the APIs and data flows, and the ability to read AI-driven recommendations for data transformations, all of which speed up project delivery and reduce development time.
  • Users reported concerns with the licensing and overall cost of ownership, the vCore-based pricing structure making scaling difficult and costly, a steep learning curve for new developers, and some performance issues.
MuleSoft Anypoint Platform Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
23
Integration Capabilities
23
Easy Integrations
20
Features
20
API Management
18
Cons
Learning Curve
13
Expensive
12
Learning Difficulty
10
Steep Learning Curve
10
Difficult Learning
9
View All Pros and Cons
MuleSoft Anypoint Platform features and usability ratings that predict user satisfaction
8.8
Has the product been a good partner in doing business?
Average: 9.1
8.8
Automation
Average: 8.9
8.9
Scalability
Average: 8.6
8.3
Auditing
Average: 8.0
Seller Details
Seller
Salesforce
Company Website
Year Founded
1999
HQ Location
San Francisco, CA
Twitter
@salesforce
580,922 Twitter followers
LinkedIn® Page
www.linkedin.com
86,064 employees on LinkedIn®
Coupler.io
(100)4.8 out of 5
12th Easiest To Use in ETL Tools software
Entry Level Price:Free
  • Overview
    Expand/Collapse Overview
    • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Coupler.io is a no-code data integration platform that provides instant access to 400+ sources and a world of insights — all in one place. It allows you to collect data from various cloud sources, tra

    Users
    No information available
    Industries
    • Non-Profit Organization Management
    • Marketing and Advertising
    Market Segment
    • 66% Small-Business
    • 29% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
    • Coupler.io Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    20
    Time-Saving
    19
    Automation
    18
    Integrations
    15
    Data Integration
    14
    Cons
    Difficult Setup
    5
    Complex Setup
    4
    Learning Curve
    4
    Expensive
    3
    Lack of Information
    3
    View All Pros and Cons
  • User Satisfaction
    Expand/Collapse User Satisfaction
    • Coupler.io features and usability ratings that predict user satisfaction
    9.4
    Has the product been a good partner in doing business?
    Average: 9.1
    9.7
    Automation
    Average: 8.9
    8.9
    Scalability
    Average: 8.6
    8.3
    Auditing
    Average: 8.0
  • Seller Details
    Expand/Collapse Seller Details
    • Seller Details
    Seller
    Railsware
    Year Founded
    2007
    HQ Location
    Kraków
    Twitter
    @railsware
    2,123 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    185 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Coupler.io is a no-code data integration platform that provides instant access to 400+ sources and a world of insights — all in one place. It allows you to collect data from various cloud sources, tra

Users
No information available
Industries
  • Non-Profit Organization Management
  • Marketing and Advertising
Market Segment
  • 66% Small-Business
  • 29% Mid-Market
Coupler.io Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
20
Time-Saving
19
Automation
18
Integrations
15
Data Integration
14
Cons
Difficult Setup
5
Complex Setup
4
Learning Curve
4
Expensive
3
Lack of Information
3
View All Pros and Cons
Coupler.io features and usability ratings that predict user satisfaction
9.4
Has the product been a good partner in doing business?
Average: 9.1
9.7
Automation
Average: 8.9
8.9
Scalability
Average: 8.6
8.3
Auditing
Average: 8.0
Seller Details
Seller
Railsware
Year Founded
2007
HQ Location
Kraków
Twitter
@railsware
2,123 Twitter followers
LinkedIn® Page
www.linkedin.com
185 employees on LinkedIn®
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ETL Tools Topics

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Learn More About ETL Tools

ETL software buying insights at a glance

Organizations today manage data across multiple applications, databases, and cloud environments. ETL tools help teams extract, transform, and load that data into centralized systems where it can be analyzed and used for reporting or operational decision-making. As companies adopt cloud data warehouses and modern analytics stacks, these solutions play an important role in keeping data pipelines reliable and consistent. 

The best ETL tools help organizations reduce manual scripting, maintain consistent data pipelines, and support large volumes of data across multiple integrations. As data environments grow more complex, ETL providers increasingly focus on simplifying integrations and enabling faster access to analytics-ready data.

Common use cases focus on simplifying how data moves and gets prepared across systems. Teams use these tools to automate pipelines between SaaS apps, databases, and warehouses, consolidate data for unified reporting, and transform raw inputs into analytics-ready datasets for BI tools. They also help maintain consistent, reliable data flows across distributed environments, supporting cloud data warehouses and modern analytics platforms.

Pricing varies across the category depending on the number of integrations, pipeline volume, and transformation complexity. Many vendors use usage-based pricing models tied to data volume or connectors. Entry-level plans often support smaller teams or limited pipelines, while enterprise deployments add advanced monitoring, governance, and scalability capabilities.

Top 5 FAQs from software buyers

  • How do ETL tools support modern data stacks and cloud-based data architectures?
  • How well do ETL platforms integrate with cloud data warehouses like BigQuery, Snowflake, or Redshift?
  • Which ETL tools simplify pipeline management and reduce maintenance overhead for data teams?
  • What level of scalability and performance do ETL solutions provide for large-scale data pipelines?
  • Which ETL providers offer the broadest integration support across SaaS applications, databases, and APIs?

G2’s top-rated ETL tools, based on verified reviews, include Google Cloud BigQuery, Databricks, Domo, Workato, and SnapLogic Intelligent Integration Platform (IIP).

What are the top-reviewed ETL Tools on G2?

Google Cloud BigQuery

  • Number of Reviews: 324
  • Satisfaction: 98
  • Market Score: 99
  • G2 Score: 98

Databricks

  • Number of Reviews: 279
  • Satisfaction: 100
  • Market Score: 81
  • G2 Score: 90

Domo

  • Number of Reviews: 380
  • Satisfaction: 88
  • Market Score: 73
  • G2 Score: 80

Workato

  • Number of Reviews: 224
  • Satisfaction: 94
  • Market Score: 62
  • G2 Score: 78

SnapLogic Intelligent Integration Platform (IIP)

  • Number of Reviews: 172
  • Satisfaction: 94
  • Market Score: 60
  • G2 Score: 77

Satisfaction reflects user-reported ratings, including ease of use, support, and feature fit. (Source 2)

Market Presence scores combine review and external signals that indicate market momentum and footprint. (Source 2)

G2 Score is a weighted composite of Satisfaction and Market Presence. (Source 2)

Learn how G2 scores products. (Source 1)

What I Often See in ETL Tools

Feedback Pros: What Users Consistently Appreciate

• Visual pipeline builders simplify complex multi-source data integrations

“I love how the SnapLogic Intelligent Integration Platform (IIP) makes building integrations so easy with its AI-powered and low-code interface, which significantly streamlines design and maintenance for both technical and non-technical users. This platform guides the pipeline design and reduces the manual effort, aligning with its AI-driven workflow approach, and it has been instrumental in helping me automate workflows, improve data flow efficiency, and reduce the integration effort significantly. The initial setup was very easy because it's a cloud-based, self-service platform that minimizes installation effort and helps teams get started quickly. I highly recommend SnapLogic IIP for organizations looking to modernize and accelerate their integration strategy, and I would rate it a 9 for its ease of use.”

- Sanket N., SnapLogic Intelligent Integration Platform (IIP) review

• Extensive connectors enable fast integration across SaaS and databases

“We use this every day as a vital part of an integration between our website and database. Easy to use with a number of different integrations available at your fingertips. Assistance was always an email away.”

- Nick E., Skyvia review

• Automation capabilities reduce manual pipeline maintenance and data preparation

“Workato is an excellent tool for automating tasks and improving processes. What I find truly impressive is that we no longer have to rely on our ERP vendor for new features or automations; instead, we can handle everything ourselves using Workato. Personally, I have implemented numerous enhancements that have greatly benefited the Finance team, resulting in an estimated annual savings of around 1,000 hours. Also tool is so easy to use that you do not need to have any technical knowledge.”

- Manvitha K., Workato review

Cons: Where Many Platforms Fall Short

• Advanced transformations require deeper technical knowledge and configuration

“Some advanced use cases require a deeper technical understanding, especially when building custom flows, handling edge cases, or working with complex APIs. The UI can feel overwhelming for new users, and debugging large integrations could be improved with more developer-style tooling. Pricing can also be a consideration for smaller organizations compared to lightweight automation tools.”

- Nuri Vladimir E., Celigo review

• Limited debugging visibility when pipelines fail during complex workloads

“Debugging and troubleshooting pipelines can sometimes be difficult. Error messages are not always very detailed, which can slow down the process of identifying issues. The UI is helpful, but complex pipelines can become harder to manage and visualize as they grow. Additionally, monitoring and cost tracking for large workloads requires careful attention, as pipeline executions and data movement activities can accumulate costs quickly.”

- Alan R., Azure Data Factory

• Scaling integrations or data volume increases operational management complexity

“The pricing model can become expensive for large-scale queries without proper optimization and cost monitoring. The learning curve for advanced features and query optimization techniques requires time investment. Limited support for certain data types and occasional complexity in debugging nested queries could be improved for a better developer experience.”

- Alok K., Google Cloud BigQuery review

My Expert Takeaway on ETL Tools in 2026

Looking across the review data, ETL solutions receive consistently strong sentiment, with an average rating of 4.61/5 stars and a 9.22/10 likelihood to recommend. That tells me most teams see clear value once their pipelines are operational. ETL tools have quietly become core infrastructure for modern data environments, especially as organizations connect more SaaS applications, warehouses, and analytics systems.

What I notice most in the reviews is that teams rarely evaluate ETL platforms only on integrations. Instead, reliability and automation come up repeatedly. Users want pipelines that run consistently without constant monitoring or manual fixes. When pipelines break or debugging becomes difficult, it quickly impacts reporting workflows and downstream analytics.

Another pattern I see is that successful teams treat ETL software as shared infrastructure rather than an isolated engineering tool. Data engineers may design pipelines, but analysts and operations teams often rely on them daily. Platforms that simplify pipeline visibility, monitoring, and maintenance tend to make collaboration easier across teams.

Industry usage patterns also suggest that organizations with growing data environments benefit the most from mature ETL workflows. For buyers evaluating the best ETL tools, the biggest differentiator often comes down to how well a platform keeps pipelines stable and manageable as data complexity grows.

ETL Tools FAQs

What are the best free ETL tools for developers?

Many platforms offer open-source components, limited free tiers, or trial versions that developers use to build and test pipelines.

Common options include:

  • dbt: An open-source framework used by data teams to transform and model data directly inside data warehouses.
  • Google Cloud BigQuery: Offers a limited free usage tier that allows developers to run queries and build data pipelines at small scale.
  • AWS Glue: A serverless data integration service commonly used for large-scale pipelines, typically accessed through free trial credits or limited testing environments.

Developers often use these tools to prototype data pipelines before scaling to production workloads.

What are the best no-code or low-code ETL tools?

No-code and low-code ETL tools simplify pipeline creation through visual workflows and prebuilt integrations.

Examples include:

  • Workato: Known for its automation platform and extensive connector ecosystem that simplifies integration workflows.
  • SnapLogic: Uses a visual interface and prebuilt connectors to help teams design data pipelines without heavy coding.
  • Alteryx: Offers a drag-and-drop workflow builder designed for analysts working with data preparation and transformation.

These platforms allow data teams to manage pipelines without relying heavily on engineering resources.

Which ETL services offer strong security features?

Organizations handling sensitive data often prioritize ETL tools that offer strong governance, access controls, and compliance capabilities.

Platforms commonly used in secure environments include:

  • Azure Data Factory: Integrates with Microsoft’s identity and security framework for controlled data pipelines.
  • Google Cloud BigQuery: Supports secure data processing with built-in encryption and governance capabilities.
  • AWS Glue: Provides role-based access controls and integration with AWS security services.

These platforms help organizations maintain secure data movement across complex environments.

What’s the leading ETL app for big data analysis?

For large-scale analytics workloads, organizations often use ETL tools that integrate directly with modern data platforms.

Common choices include:

  • Databricks: Designed for large-scale data engineering, analytics, and machine learning pipelines.
  • Google Cloud BigQuery: Enables large-scale data processing and analytics within a cloud data warehouse environment.
  • Fivetran: Automates high-volume data ingestion into cloud warehouses for analytics and reporting.

These platforms support large datasets and complex transformation workflows.

What are the different types of ETL tools?

ETL tools generally fall into four categories:

  • Open-source ETL tools: Flexible frameworks for custom pipeline development.
  • Cloud-based ETL platforms: Managed services that automate data pipelines.
  • No-code or low-code ETL tools: Visual workflow tools for non-engineering teams.
  • Enterprise ETL solutions: Platforms built for governance, monitoring, and large-scale data environments.

Each category supports different technical needs and levels of pipeline complexity.

Sources

Researched By: Shalaka Joshi

Last updated on March 16, 2026