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Best ETL Tools

Shalaka Joshi
SJ
Researched and written by Shalaka Joshi

ETL (extract, transform, and load) tools are used to transfer data between databases or for external use. ETL tools are used for data replication, after which the data will be stored in database management systems and data warehouses. These solutions also help with data extraction for analytics. These software products transform data sets to operate through querying and analysis. Many companies use these tools to create a visual workflow for the data they transfer. Other uses are typically analysis, data cleansing, and structuring data.

It has become increasingly common for data management platforms to extract data from various sources and load it into the target warehouse through ELT (extract, load, and transform). The difference between ETL and ELT is that ELT uses the target system to transform the data instead of pre-processing the data like in ETL.

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

Best ETL Tools At A Glance

Best for Small Businesses:
Best for Mid-Market:
Best for Enterprise:
Highest User Satisfaction:
Best Free Software:
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Best for Enterprise:
Highest User Satisfaction:
Best Free Software:

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.

No filters applied
223 Listings in ETL Tools Available
(1,088)4.5 out of 5
8th Easiest To Use in ETL Tools software
View top Consulting Services for Google Cloud BigQuery
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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
    • 33% 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
    344
    Speed
    191
    Fast Querying
    171
    Querying
    162
    Performance
    160
    Cons
    Expensive
    153
    Query Issues
    139
    Learning Curve
    109
    Cost Issues
    86
    Cost Management
    84
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Google Cloud BigQuery features and usability ratings that predict user satisfaction
    8.7
    Has the product been a good partner in doing business?
    Average: 9.0
    8.9
    Automation
    Average: 8.9
    9.3
    Scalability
    Average: 8.7
    8.2
    Auditing
    Average: 8.1
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Google
    Company Website
    Year Founded
    1998
    HQ Location
    Mountain View, CA
    Twitter
    @google
    32,520,271 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    301,875 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
  • 33% 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
344
Speed
191
Fast Querying
171
Querying
162
Performance
160
Cons
Expensive
153
Query Issues
139
Learning Curve
109
Cost Issues
86
Cost Management
84
Google Cloud BigQuery features and usability ratings that predict user satisfaction
8.7
Has the product been a good partner in doing business?
Average: 9.0
8.9
Automation
Average: 8.9
9.3
Scalability
Average: 8.7
8.2
Auditing
Average: 8.1
Seller Details
Seller
Google
Company Website
Year Founded
1998
HQ Location
Mountain View, CA
Twitter
@google
32,520,271 Twitter followers
LinkedIn® Page
www.linkedin.com
301,875 employees on LinkedIn®
(403)4.6 out of 5
Optimized for quick response
6th Easiest To Use in ETL Tools software
View top Consulting Services for Databricks Data Intelligence Platform
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  • 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 10,000 organizations worldwide — including Block, Comcast, Conde Nast, Rivian, and Shell, and over 60% of the Fortune 500 — rely on the Databricks Data

    Users
    • Data Engineer
    • Data Scientist
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 47% Enterprise
    • 34% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Databricks Data Intelligence 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
    182
    Features
    165
    Integrations
    104
    Data Management
    91
    Easy Integrations
    88
    Cons
    Learning Curve
    55
    Missing Features
    52
    Steep Learning Curve
    52
    Expensive
    49
    Performance Issues
    36
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Databricks Data Intelligence Platform features and usability ratings that predict user satisfaction
    8.5
    Has the product been a good partner in doing business?
    Average: 9.0
    8.9
    Automation
    Average: 8.9
    9.1
    Scalability
    Average: 8.7
    8.3
    Auditing
    Average: 8.1
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    Year Founded
    1999
    HQ Location
    San Francisco, CA
    Twitter
    @databricks
    75,952 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    9,769 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 10,000 organizations worldwide — including Block, Comcast, Conde Nast, Rivian, and Shell, and over 60% of the Fortune 500 — rely on the Databricks Data

Users
  • Data Engineer
  • Data Scientist
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 47% Enterprise
  • 34% Mid-Market
Databricks Data Intelligence 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
182
Features
165
Integrations
104
Data Management
91
Easy Integrations
88
Cons
Learning Curve
55
Missing Features
52
Steep Learning Curve
52
Expensive
49
Performance Issues
36
Databricks Data Intelligence Platform features and usability ratings that predict user satisfaction
8.5
Has the product been a good partner in doing business?
Average: 9.0
8.9
Automation
Average: 8.9
9.1
Scalability
Average: 8.7
8.3
Auditing
Average: 8.1
Seller Details
Company Website
Year Founded
1999
HQ Location
San Francisco, CA
Twitter
@databricks
75,952 Twitter followers
LinkedIn® Page
www.linkedin.com
9,769 employees on LinkedIn®

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  • 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
    • 48% Enterprise
    • 34% 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
    101
    Integrations
    62
    Easy Integrations
    61
    Data Integration
    42
    Connectors
    41
    Cons
    Performance Issues
    25
    Learning Curve
    21
    Poor UI
    20
    Poor User Interface
    20
    Steep Learning Curve
    20
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • SnapLogic Intelligent Integration Platform (IIP) features and usability ratings that predict user satisfaction
    8.7
    Has the product been a good partner in doing business?
    Average: 9.0
    8.6
    Automation
    Average: 8.9
    8.4
    Scalability
    Average: 8.7
    8.0
    Auditing
    Average: 8.1
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    SnapLogic
    Company Website
    Year Founded
    2006
    HQ Location
    San Mateo, CA
    Twitter
    @SnapLogic
    7,542 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    364 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
  • 48% Enterprise
  • 34% 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
101
Integrations
62
Easy Integrations
61
Data Integration
42
Connectors
41
Cons
Performance Issues
25
Learning Curve
21
Poor UI
20
Poor User Interface
20
Steep Learning Curve
20
SnapLogic Intelligent Integration Platform (IIP) features and usability ratings that predict user satisfaction
8.7
Has the product been a good partner in doing business?
Average: 9.0
8.6
Automation
Average: 8.9
8.4
Scalability
Average: 8.7
8.0
Auditing
Average: 8.1
Seller Details
Seller
SnapLogic
Company Website
Year Founded
2006
HQ Location
San Mateo, CA
Twitter
@SnapLogic
7,542 Twitter followers
LinkedIn® Page
www.linkedin.com
364 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    AWS Glue is a serverless data integration service that makes it easier for analytics users to discover, prepare, move, and integrate data from multiple sources for analytics, machine learning, and app

    Users
    • Data Engineer
    • DevOps Engineer
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 48% Enterprise
    • 28% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • AWS Glue 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
    21
    Data Integration
    13
    ETL Process
    11
    ETL Efficiency
    10
    ETL Solutions
    10
    Cons
    Feature Limitations
    8
    Expensive
    7
    Limited Functionality
    7
    Complexity
    6
    Data Limitations
    5
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • AWS Glue features and usability ratings that predict user satisfaction
    8.8
    Has the product been a good partner in doing business?
    Average: 9.0
    8.7
    Automation
    Average: 8.9
    8.8
    Scalability
    Average: 8.7
    8.7
    Auditing
    Average: 8.1
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2006
    HQ Location
    Seattle, WA
    Twitter
    @awscloud
    2,230,610 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    136,383 employees on LinkedIn®
    Ownership
    NASDAQ: AMZN
Product Description
How are these determined?Information
This description is provided by the seller.

AWS Glue is a serverless data integration service that makes it easier for analytics users to discover, prepare, move, and integrate data from multiple sources for analytics, machine learning, and app

Users
  • Data Engineer
  • DevOps Engineer
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 48% Enterprise
  • 28% Mid-Market
AWS Glue 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
21
Data Integration
13
ETL Process
11
ETL Efficiency
10
ETL Solutions
10
Cons
Feature Limitations
8
Expensive
7
Limited Functionality
7
Complexity
6
Data Limitations
5
AWS Glue features and usability ratings that predict user satisfaction
8.8
Has the product been a good partner in doing business?
Average: 9.0
8.7
Automation
Average: 8.9
8.8
Scalability
Average: 8.7
8.7
Auditing
Average: 8.1
Seller Details
Year Founded
2006
HQ Location
Seattle, WA
Twitter
@awscloud
2,230,610 Twitter followers
LinkedIn® Page
www.linkedin.com
136,383 employees on LinkedIn®
Ownership
NASDAQ: AMZN
(504)4.7 out of 5
Optimized for quick response
7th Easiest To Use in ETL Tools software
View top Consulting Services for Workato
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Workato is the leading Integration and Automation Platform. Recognized as a leader, Workato enables both business and IT teams to integrate their apps and automate business workflows without compromis

    Users
    • Software Engineer
    • Integration Engineer
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 43% Mid-Market
    • 37% 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 platform designed to design and implement complex workflows, offering a library of pre-built connectors for integration with various applications and services.
    • Users like Workato's user-friendly interface, extensive library of pre-built connectors, and the ability to automate complex workflows without needing developer support.
    • Users mentioned that the platform can feel overwhelming for beginners due to its extensive capabilities, and they find the pricing structure complex and desire more transparent and straightforward pricing plans.
  • 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
    177
    Integrations
    107
    Customer Support
    91
    Easy Integrations
    86
    Automation
    78
    Cons
    Expensive
    37
    Data Limitations
    34
    Missing Features
    31
    Learning Curve
    27
    Limitations
    26
  • 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: 9.0
    9.1
    Automation
    Average: 8.9
    8.9
    Scalability
    Average: 8.7
    8.2
    Auditing
    Average: 8.1
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Workato
    Company Website
    Year Founded
    2013
    HQ Location
    Mountain View, California
    Twitter
    @Workato
    3,361 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    1,045 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Workato is the leading Integration and Automation Platform. Recognized as a leader, Workato enables both business and IT teams to integrate their apps and automate business workflows without compromis

Users
  • Software Engineer
  • Integration Engineer
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 43% Mid-Market
  • 37% 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 platform designed to design and implement complex workflows, offering a library of pre-built connectors for integration with various applications and services.
  • Users like Workato's user-friendly interface, extensive library of pre-built connectors, and the ability to automate complex workflows without needing developer support.
  • Users mentioned that the platform can feel overwhelming for beginners due to its extensive capabilities, and they find the pricing structure complex and desire more transparent and straightforward pricing plans.
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
177
Integrations
107
Customer Support
91
Easy Integrations
86
Automation
78
Cons
Expensive
37
Data Limitations
34
Missing Features
31
Learning Curve
27
Limitations
26
Workato features and usability ratings that predict user satisfaction
9.4
Has the product been a good partner in doing business?
Average: 9.0
9.1
Automation
Average: 8.9
8.9
Scalability
Average: 8.7
8.2
Auditing
Average: 8.1
Seller Details
Seller
Workato
Company Website
Year Founded
2013
HQ Location
Mountain View, California
Twitter
@Workato
3,361 Twitter followers
LinkedIn® Page
www.linkedin.com
1,045 employees on LinkedIn®
(81)4.6 out of 5
View top Consulting Services for Azure Data Factory
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Azure Data Factory (ADF) is a service designed to allow developers to integrate disparate data sources. It provides access to on-premises data in SQL Server and cloud data in Azure Storage (Blob and T

    Users
    • Data Engineer
    • Software Engineer
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 60% Enterprise
    • 31% 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
    Ease of Use
    15
    Data Integration
    9
    Integrations
    8
    User Interface
    8
    Drag
    7
    Cons
    Feature Limitations
    6
    Connectivity Issues
    3
    Debugging Difficulty
    3
    Limited Connectors
    3
    Complexity
    2
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Azure Data Factory features and usability ratings that predict user satisfaction
    9.3
    Has the product been a good partner in doing business?
    Average: 9.0
    9.2
    Automation
    Average: 8.9
    9.3
    Scalability
    Average: 8.7
    8.4
    Auditing
    Average: 8.1
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Microsoft
    Year Founded
    1975
    HQ Location
    Redmond, Washington
    Twitter
    @microsoft
    14,031,499 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    238,990 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 service designed to allow developers to integrate disparate data sources. It provides access to on-premises data in SQL Server and cloud data in Azure Storage (Blob and T

Users
  • Data Engineer
  • Software Engineer
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 60% Enterprise
  • 31% 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
Ease of Use
15
Data Integration
9
Integrations
8
User Interface
8
Drag
7
Cons
Feature Limitations
6
Connectivity Issues
3
Debugging Difficulty
3
Limited Connectors
3
Complexity
2
Azure Data Factory features and usability ratings that predict user satisfaction
9.3
Has the product been a good partner in doing business?
Average: 9.0
9.2
Automation
Average: 8.9
9.3
Scalability
Average: 8.7
8.4
Auditing
Average: 8.1
Seller Details
Seller
Microsoft
Year Founded
1975
HQ Location
Redmond, Washington
Twitter
@microsoft
14,031,499 Twitter followers
LinkedIn® Page
www.linkedin.com
238,990 employees on LinkedIn®
Ownership
MSFT
By 5X
(53)4.9 out of 5
2nd Easiest To Use in ETL Tools software
Save to My Lists
Entry Level Price:Starting at $2.00
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    5X is an all-in-one data platform. We give you everything you need to centralize, clean, model, and analyze your data. The customer feedback we get most often is, "This is self-explanatory," and "It'

    Users
    No information available
    Industries
    • Computer Software
    • Financial Services
    Market Segment
    • 58% Mid-Market
    • 34% 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
    38
    Customer Support
    29
    Features
    19
    Cost-Effective
    13
    User Interface
    12
    Cons
    Feature Limitations
    5
    Missing Features
    3
    Data Management
    1
    Difficult Setup
    1
    Expensive
    1
  • 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: 9.0
    9.4
    Automation
    Average: 8.9
    9.6
    Scalability
    Average: 8.7
    9.3
    Auditing
    Average: 8.1
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    5X
    Company Website
    Year Founded
    2020
    HQ Location
    San Francisco
    Twitter
    @DataWith5x
    47 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    110 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

5X is an all-in-one data platform. We give you everything you need to centralize, clean, model, and analyze your data. The customer feedback we get most often is, "This is self-explanatory," and "It'

Users
No information available
Industries
  • Computer Software
  • Financial Services
Market Segment
  • 58% Mid-Market
  • 34% 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
38
Customer Support
29
Features
19
Cost-Effective
13
User Interface
12
Cons
Feature Limitations
5
Missing Features
3
Data Management
1
Difficult Setup
1
Expensive
1
5X features and usability ratings that predict user satisfaction
9.8
Has the product been a good partner in doing business?
Average: 9.0
9.4
Automation
Average: 8.9
9.6
Scalability
Average: 8.7
9.3
Auditing
Average: 8.1
Seller Details
Seller
5X
Company Website
Year Founded
2020
HQ Location
San Francisco
Twitter
@DataWith5x
47 Twitter followers
LinkedIn® Page
www.linkedin.com
110 employees on LinkedIn®
(254)4.4 out of 5
Optimized for quick response
9th Easiest To Use in ETL Tools software
Save to My Lists
Entry Level Price:Free
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Hevo is a reliable, cost-effective ELT platform that effortlessly streamlines data integration. As an automated data pipeline solution, Hevo seamlessly syncs data from 150+ sources, including SQL, NoS

    Users
    • Data Engineer
    • Data Analyst
    Industries
    • Computer Software
    • Financial Services
    Market Segment
    • 51% Mid-Market
    • 40% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Hevo 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
    39
    Customer Support
    30
    Easy Integrations
    19
    Features
    17
    Integrations
    17
    Cons
    Pipeline Issues
    12
    Data Inaccuracy
    10
    Expensive
    10
    Pipeline Management
    10
    Limitations
    8
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Hevo Data features and usability ratings that predict user satisfaction
    8.8
    Has the product been a good partner in doing business?
    Average: 9.0
    8.8
    Automation
    Average: 8.9
    8.5
    Scalability
    Average: 8.7
    8.2
    Auditing
    Average: 8.1
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Hevo Data
    Company Website
    Year Founded
    2017
    HQ Location
    San Francisco, California
    Twitter
    @HevoData
    841 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    242 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Hevo is a reliable, cost-effective ELT platform that effortlessly streamlines data integration. As an automated data pipeline solution, Hevo seamlessly syncs data from 150+ sources, including SQL, NoS

Users
  • Data Engineer
  • Data Analyst
Industries
  • Computer Software
  • Financial Services
Market Segment
  • 51% Mid-Market
  • 40% Small-Business
Hevo 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
39
Customer Support
30
Easy Integrations
19
Features
17
Integrations
17
Cons
Pipeline Issues
12
Data Inaccuracy
10
Expensive
10
Pipeline Management
10
Limitations
8
Hevo Data features and usability ratings that predict user satisfaction
8.8
Has the product been a good partner in doing business?
Average: 9.0
8.8
Automation
Average: 8.9
8.5
Scalability
Average: 8.7
8.2
Auditing
Average: 8.1
Seller Details
Seller
Hevo Data
Company Website
Year Founded
2017
HQ Location
San Francisco, California
Twitter
@HevoData
841 Twitter followers
LinkedIn® Page
www.linkedin.com
242 employees on LinkedIn®
(62)4.9 out of 5
1st Easiest To Use in ETL Tools software
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Clarisights is the leading marketing analytics platform for Enterprises. Connect, visualize and explore all your marketing data in one place. Go from a cross-channel overview to in-depth campaign deep

    Users
    No information available
    Industries
    • Apparel & Fashion
    • Consumer Goods
    Market Segment
    • 81% Enterprise
    • 16% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Clarisights 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
    51
    Reporting
    35
    Helpful
    34
    Customer Support
    30
    Analytics
    28
    Cons
    Time Delays
    6
    Lack of Information
    5
    Learning Curve
    5
    Error Handling
    3
    Limitations
    3
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Clarisights features and usability ratings that predict user satisfaction
    9.5
    Has the product been a good partner in doing business?
    Average: 9.0
    9.8
    Automation
    Average: 8.9
    9.7
    Scalability
    Average: 8.7
    9.9
    Auditing
    Average: 8.1
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    Year Founded
    2018
    HQ Location
    Lewes, US
    Twitter
    @Clarisights
    1,126 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    53 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Clarisights is the leading marketing analytics platform for Enterprises. Connect, visualize and explore all your marketing data in one place. Go from a cross-channel overview to in-depth campaign deep

Users
No information available
Industries
  • Apparel & Fashion
  • Consumer Goods
Market Segment
  • 81% Enterprise
  • 16% Mid-Market
Clarisights 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
51
Reporting
35
Helpful
34
Customer Support
30
Analytics
28
Cons
Time Delays
6
Lack of Information
5
Learning Curve
5
Error Handling
3
Limitations
3
Clarisights features and usability ratings that predict user satisfaction
9.5
Has the product been a good partner in doing business?
Average: 9.0
9.8
Automation
Average: 8.9
9.7
Scalability
Average: 8.7
9.9
Auditing
Average: 8.1
Seller Details
Company Website
Year Founded
2018
HQ Location
Lewes, US
Twitter
@Clarisights
1,126 Twitter followers
LinkedIn® Page
www.linkedin.com
53 employees on LinkedIn®
(120)4.7 out of 5
3rd Easiest To Use in ETL Tools software
Save to My Lists
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
  • Rivery 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
    52
    User Interface
    25
    Intuitive
    22
    Integrations
    20
    Data Integration
    16
    Cons
    Lacking Features
    6
    Learning Curve
    5
    Learning Difficulty
    5
    Limitations
    5
    Data Management
    4
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Rivery features and usability ratings that predict user satisfaction
    9.6
    Has the product been a good partner in doing business?
    Average: 9.0
    9.5
    Automation
    Average: 8.9
    9.3
    Scalability
    Average: 8.7
    8.8
    Auditing
    Average: 8.1
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2017
    HQ Location
    New York, New York
    Twitter
    @RiveryData
    1,532 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    94 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
Rivery 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
52
User Interface
25
Intuitive
22
Integrations
20
Data Integration
16
Cons
Lacking Features
6
Learning Curve
5
Learning Difficulty
5
Limitations
5
Data Management
4
Rivery features and usability ratings that predict user satisfaction
9.6
Has the product been a good partner in doing business?
Average: 9.0
9.5
Automation
Average: 8.9
9.3
Scalability
Average: 8.7
8.8
Auditing
Average: 8.1
Seller Details
Year Founded
2017
HQ Location
New York, New York
Twitter
@RiveryData
1,532 Twitter followers
LinkedIn® Page
www.linkedin.com
94 employees on LinkedIn®
(400)4.5 out of 5
Optimized for quick response
14th Easiest To Use in ETL Tools software
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Entry Level Price:Free
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Singular is the only end-to-end marketing attribution and analytics platform that uncovers true ROI across all marketing channels. We transform complex marketing data into actionable insights by unify

    Users
    • User Acquisition Manager
    • Data Analyst
    Industries
    • Computer Games
    • Entertainment
    Market Segment
    • 53% Mid-Market
    • 26% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Singular 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
    Customer Support
    100
    Ease of Use
    64
    Helpful
    48
    Integrations
    40
    Features
    39
    Cons
    Limited Features
    20
    Lack of Information
    18
    Data Management
    17
    Poor Customer Support
    17
    Data Management Issues
    16
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Singular features and usability ratings that predict user satisfaction
    9.2
    Has the product been a good partner in doing business?
    Average: 9.0
    8.9
    Automation
    Average: 8.9
    8.9
    Scalability
    Average: 8.7
    8.4
    Auditing
    Average: 8.1
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Singular
    Company Website
    Year Founded
    2014
    HQ Location
    Tel Aviv
    Twitter
    @TweetSingular
    1,256 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    309 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Singular is the only end-to-end marketing attribution and analytics platform that uncovers true ROI across all marketing channels. We transform complex marketing data into actionable insights by unify

Users
  • User Acquisition Manager
  • Data Analyst
Industries
  • Computer Games
  • Entertainment
Market Segment
  • 53% Mid-Market
  • 26% Small-Business
Singular 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
Customer Support
100
Ease of Use
64
Helpful
48
Integrations
40
Features
39
Cons
Limited Features
20
Lack of Information
18
Data Management
17
Poor Customer Support
17
Data Management Issues
16
Singular features and usability ratings that predict user satisfaction
9.2
Has the product been a good partner in doing business?
Average: 9.0
8.9
Automation
Average: 8.9
8.9
Scalability
Average: 8.7
8.4
Auditing
Average: 8.1
Seller Details
Seller
Singular
Company Website
Year Founded
2014
HQ Location
Tel Aviv
Twitter
@TweetSingular
1,256 Twitter followers
LinkedIn® Page
www.linkedin.com
309 employees on LinkedIn®
(409)4.2 out of 5
Optimized for quick response
View top Consulting Services for Fivetran
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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
    • 56% Mid-Market
    • 32% 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
    36
    Connectors Quantity
    21
    Connectors Variety
    20
    Easy Integrations
    20
    Easy Setup
    20
    Cons
    Expensive
    19
    Limited Connectors
    14
    Data Limitations
    12
    Faulty Connectors
    11
    Pricing Issues
    10
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Fivetran features and usability ratings that predict user satisfaction
    8.2
    Has the product been a good partner in doing business?
    Average: 9.0
    8.9
    Automation
    Average: 8.9
    8.6
    Scalability
    Average: 8.7
    7.0
    Auditing
    Average: 8.1
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Fivetran
    Company Website
    Year Founded
    2012
    HQ Location
    Oakland, CA
    Twitter
    @fivetran
    5,463 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    1,339 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
  • 56% Mid-Market
  • 32% 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
36
Connectors Quantity
21
Connectors Variety
20
Easy Integrations
20
Easy Setup
20
Cons
Expensive
19
Limited Connectors
14
Data Limitations
12
Faulty Connectors
11
Pricing Issues
10
Fivetran features and usability ratings that predict user satisfaction
8.2
Has the product been a good partner in doing business?
Average: 9.0
8.9
Automation
Average: 8.9
8.6
Scalability
Average: 8.7
7.0
Auditing
Average: 8.1
Seller Details
Seller
Fivetran
Company Website
Year Founded
2012
HQ Location
Oakland, CA
Twitter
@fivetran
5,463 Twitter followers
LinkedIn® Page
www.linkedin.com
1,339 employees on LinkedIn®
(243)4.8 out of 5
4th Easiest To Use in ETL Tools software
Save to My Lists
Entry Level Price:FREE
  • 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 platform for ETL, ELT, Reverse ETL, data migration, one-way and bi-directional data sync, workflow automation, real-time connectivity, and more. Benefits

    Users
    • CTO
    • CEO
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 56% Small-Business
    • 39% 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
    80
    Data Management
    44
    Easy Integrations
    43
    Integrations
    40
    Features
    36
    Cons
    Feature Limitations
    16
    Data Limitations
    12
    Data Management
    9
    Error Reporting
    9
    Technical Difficulties
    8
  • 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: 9.0
    9.4
    Automation
    Average: 8.9
    9.3
    Scalability
    Average: 8.7
    9.0
    Auditing
    Average: 8.1
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Devart
    Year Founded
    1997
    HQ Location
    Prague
    Twitter
    @DevartSoftware
    1,769 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    240 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 platform for ETL, ELT, Reverse ETL, data migration, one-way and bi-directional data sync, workflow automation, real-time connectivity, and more. Benefits

Users
  • CTO
  • CEO
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 56% Small-Business
  • 39% 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
80
Data Management
44
Easy Integrations
43
Integrations
40
Features
36
Cons
Feature Limitations
16
Data Limitations
12
Data Management
9
Error Reporting
9
Technical Difficulties
8
Skyvia features and usability ratings that predict user satisfaction
9.3
Has the product been a good partner in doing business?
Average: 9.0
9.4
Automation
Average: 8.9
9.3
Scalability
Average: 8.7
9.0
Auditing
Average: 8.1
Seller Details
Seller
Devart
Year Founded
1997
HQ Location
Prague
Twitter
@DevartSoftware
1,769 Twitter followers
LinkedIn® Page
www.linkedin.com
240 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    TimeXtender is a Danish software company founded in 2006, dedicated to simplifying and accelerating data management. With over 3,000 global customers, TimeXtender offers a comprehensive suite of pro

    Users
    • Data Analyst
    • Business Intelligence Consultant
    Industries
    • Information Technology and Services
    • Consulting
    Market Segment
    • 44% Mid-Market
    • 34% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • TimeXtender 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
    46
    Customer Support
    21
    Automation
    17
    Simple
    16
    Time-saving
    14
    Cons
    Limitations
    13
    Data Management
    10
    Learning Curve
    8
    Poor Documentation
    8
    Error Reporting
    7
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • TimeXtender features and usability ratings that predict user satisfaction
    9.0
    Has the product been a good partner in doing business?
    Average: 9.0
    8.6
    Automation
    Average: 8.9
    8.1
    Scalability
    Average: 8.7
    7.5
    Auditing
    Average: 8.1
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    Year Founded
    2006
    HQ Location
    Aarhus, Denmark
    Twitter
    @TimeXtender
    18,131 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    90 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

TimeXtender is a Danish software company founded in 2006, dedicated to simplifying and accelerating data management. With over 3,000 global customers, TimeXtender offers a comprehensive suite of pro

Users
  • Data Analyst
  • Business Intelligence Consultant
Industries
  • Information Technology and Services
  • Consulting
Market Segment
  • 44% Mid-Market
  • 34% Small-Business
TimeXtender 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
46
Customer Support
21
Automation
17
Simple
16
Time-saving
14
Cons
Limitations
13
Data Management
10
Learning Curve
8
Poor Documentation
8
Error Reporting
7
TimeXtender features and usability ratings that predict user satisfaction
9.0
Has the product been a good partner in doing business?
Average: 9.0
8.6
Automation
Average: 8.9
8.1
Scalability
Average: 8.7
7.5
Auditing
Average: 8.1
Seller Details
Company Website
Year Founded
2006
HQ Location
Aarhus, Denmark
Twitter
@TimeXtender
18,131 Twitter followers
LinkedIn® Page
www.linkedin.com
90 employees on LinkedIn®
(694)4.5 out of 5
Optimized for quick response
View top Consulting Services for MuleSoft Anypoint Platform
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  • 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 Consultant
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 58% Enterprise
    • 29% 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 designed for integrating applications, data, and devices across on-premises and cloud environments.
    • Users frequently mention the platform's user-friendly interface, robust API management capabilities, and the efficiency it provides in building and managing integrations at scale.
    • Reviewers mentioned the relatively high cost of the platform, especially for smaller organizations or projects with limited budgets, and a steep initial learning curve.
  • 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
    86
    Integrations
    80
    Integration Capabilities
    79
    API Management
    77
    Easy Integrations
    73
    Cons
    Expensive
    44
    Pricing Issues
    31
    Learning Difficulty
    23
    Learning Curve
    22
    Steep Learning Curve
    21
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • MuleSoft Anypoint Platform features and usability ratings that predict user satisfaction
    8.7
    Has the product been a good partner in doing business?
    Average: 9.0
    8.8
    Automation
    Average: 8.9
    8.9
    Scalability
    Average: 8.7
    8.3
    Auditing
    Average: 8.1
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    Year Founded
    1999
    HQ Location
    San Francisco, CA
    Twitter
    @salesforce
    584,242 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    78,543 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 Consultant
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 58% Enterprise
  • 29% 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 designed for integrating applications, data, and devices across on-premises and cloud environments.
  • Users frequently mention the platform's user-friendly interface, robust API management capabilities, and the efficiency it provides in building and managing integrations at scale.
  • Reviewers mentioned the relatively high cost of the platform, especially for smaller organizations or projects with limited budgets, and a steep initial learning curve.
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
86
Integrations
80
Integration Capabilities
79
API Management
77
Easy Integrations
73
Cons
Expensive
44
Pricing Issues
31
Learning Difficulty
23
Learning Curve
22
Steep Learning Curve
21
MuleSoft Anypoint Platform features and usability ratings that predict user satisfaction
8.7
Has the product been a good partner in doing business?
Average: 9.0
8.8
Automation
Average: 8.9
8.9
Scalability
Average: 8.7
8.3
Auditing
Average: 8.1
Seller Details
Company Website
Year Founded
1999
HQ Location
San Francisco, CA
Twitter
@salesforce
584,242 Twitter followers
LinkedIn® Page
www.linkedin.com
78,543 employees on LinkedIn®

Learn More About ETL Tools

What are ETL Tools?

ETL stands for extract, transform, and load. Organizations use this process to collect data from various sources, clean it for different applications in a staging system, and upload it to a specific database. Sometimes, organizations simply need to extract data from a platform for other uses as well. ETL tools provide a variety of functionalities to facilitate this process and mitigate issues with data management.

ETL tools work through a process of extraction, transformation and loading to help simplify the data management process. First information is extracted from internal databases, external databases, applications and systems. Next, the user converts the inputs into a more suitable format so it can be stored appropriately and easily queried and analysed later. Lastly, the polished file is typically loaded into a data warehouse or other database where it can be processed by different business intelligence software or analytics software that can be run against it at some point in the future.

ETL tools have proven to be extremely valuable to businesses when it comes to improving the quality of the information stored and analyzed by businesses. Data migration, merging, and warehousing are all important aspects of the data collection and analysis process. All these processes are greatly improved when paired with ETL tools. If they want, users can manually query information when it becomes available and store the results in a database. Alternatively, they can build their own pipeline, however, those options typically come with an additional cost.

Key Benefits of ETL Tools

  • Allow users to successfully transfer data without committing their own resources to building and maintaining a data pipeline
  • Help preserve data integrity
  • Easily scale and execute projects as they grow

Why Use ETL Tools?

ETL tools make the process of moving and manipulating data much easier; without them, employees would have to be experts in every field they use information from. Furthermore, employees would need to code all that information by hand. The typical type of data mitigation can consume copious amounts of money and resources. Additionally, it can create hours worth of additional work for developers who must constantly update those computations.

Another reason to use ETL software is the fact that creating an independent data pipeline can be extremely confusing and time consuming as the amount of information stored in a database increases.

Scalability — One reason that ETL tools should be considered in the operation of a business is that they allow for easy scaling. A successful business will grow and so will the amount of information needed for its sustainability.

Professional grade — One alternative to an ETL is for a company to create its own pipeline, but that can be problematic as the amount of information in a database increases. Pipelines need to constantly be edited and modified to handle datasets that are consistently expanding over time but also change the way information is processed. This approach can devour hours of time and is prone to human error; ETL tools save companies the time and hassle that comes with a proprietary pipeline.

Efficiency — By removing the need for constant maintenance, ETL tools improve productivity and allow developers to focus their energy on growing and managing websites or applications associated with their company.

Who Uses ETL Tools?

The main users of ETL tools tend to be ETL developers, admins, and database administrators (DBAs).

ETL developers — ETL developers are responsible for creating ETL software and implementing it within a company. They periodically update the software as needed and modify how data is processed when necessary. In addition to creating ETL systems, developers manage ETL systems to ensure they are functioning properly and efficiently.

ETL admins — ETL admins have a wide range of responsibilities including performing standard importing of data and exporting of data, reporting the health and status of databases, backing up and recovering an ETL system, fixing bugs and optimizing the ETL software, and establishing roles and permissions for users in designated databases.

Database administrators — Usually employed with larger companies, database administrators are responsible for regulating and storing information. Their duties include designing databases, migrating information, and cleaning it as needed before it’s dumped into a repository. Typically, but not always, the DBA will be responsible for extracting all data from available sources before loading it into another system. However, they will always be responsible for transforming it. When adding new information to a database, there’s usually some differences in either the format of the file or its content which needs to be adjusted to properly synchronize with the rest of the information in the target database.

Kinds of ETL Tools

ETL tools are pretty straightforward but one variation of the extract, transform, and load process is ELT.

ELT — The ELT process differs in that users load the information into the database before they start the transformation phase. This change removes the staging system from the standard ETL process. The upside to this procedure is that it allows users to store raw data. The standard ETL process requires that all information and data be restructured prior to uploading. This is beneficial when a user doesn’t have time to clean information; they can still input their information into storage where it can be reviewed and modified later.

ETL Tools' Features

This category has many different platforms to choose from, all with slightly different offerings. However, most ETL tools have the following features.

Basic ETL functions — ETL tools must be able to extract data, transform it to fit the needs of the end user, and have the functionality to load data into a data warehouse.

Cloud-based — While some ETL tools are compatible with on-site systems, it’s essential they are able to integrate with cloud-based systems. Cloud-based systems have many advantages including seamless updates and the ability for users to easily collaborate across departments.

Connectors — Connectors are tools that allow various different software sources to integrate in one place. They act as a translator between software products so that software can be placed in a common format for easy integration. This is important as ETL tools need to transform data regardless of the source. This means that even with various origins, data should be convertible with the ETL software.

Visual designer — Almost all ETL tools integrate with a visual designer which is an application that allows users to utilize drag and drop functionality to design their system. This user-friendly interface enables users to design an ETL system with little to no coding.

Archive data — It’s essential that ETL tools backup data in the event that it needs to be restored. The data can also be easily stockpiled for future analysis. This is helpful for users that work with large amounts of data, as it can be easy to lose track of important data.

Record integration data — ETL tools must record integration data for every transaction. In the event that an audit needs to take place, it’s easier for users to pull the relevant data. Additionally, this helps identify when an issue was introduced to a system.