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Best ETL Tools - Page 5

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

Highest Performer:
Best Contender:
Most Niche:
Most Trending:
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Most Niche:
Most Trending:

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
228 Listings in ETL Tools Available
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    CData Virtuality - Data Virtualization for Flexible Data Architectures By uniquely combining data virtualization and physical data replication, CData Virtuality provides data teams the flexibility to

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 65% Mid-Market
    • 35% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Data Virtuality 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
    2
    Easy Setup
    2
    ETL Process
    2
    ETL Solutions
    2
    Setup Ease
    2
    Cons
    Bugs
    1
    Insufficient Guidance
    1
    Lack of Information
    1
    Poor Error Reporting
    1
    Software Bugs
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Data Virtuality features and usability ratings that predict user satisfaction
    9.5
    Has the product been a good partner in doing business?
    Average: 9.0
    10.0
    Automation
    Average: 8.9
    8.9
    Scalability
    Average: 8.6
    8.3
    Auditing
    Average: 8.1
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    CData
    Year Founded
    2014
    HQ Location
    Chapel Hill, NC
    Twitter
    @cdatasoftware
    1,972 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    419 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

CData Virtuality - Data Virtualization for Flexible Data Architectures By uniquely combining data virtualization and physical data replication, CData Virtuality provides data teams the flexibility to

Users
No information available
Industries
No information available
Market Segment
  • 65% Mid-Market
  • 35% Small-Business
Data Virtuality 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
2
Easy Setup
2
ETL Process
2
ETL Solutions
2
Setup Ease
2
Cons
Bugs
1
Insufficient Guidance
1
Lack of Information
1
Poor Error Reporting
1
Software Bugs
1
Data Virtuality features and usability ratings that predict user satisfaction
9.5
Has the product been a good partner in doing business?
Average: 9.0
10.0
Automation
Average: 8.9
8.9
Scalability
Average: 8.6
8.3
Auditing
Average: 8.1
Seller Details
Seller
CData
Year Founded
2014
HQ Location
Chapel Hill, NC
Twitter
@cdatasoftware
1,972 Twitter followers
LinkedIn® Page
www.linkedin.com
419 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Apache NiFi is a software project designed to enable the automation of data flow between systems.

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 50% Enterprise
    • 25% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Apache NiFi features and usability ratings that predict user satisfaction
    9.0
    Has the product been a good partner in doing business?
    Average: 9.0
    9.3
    Automation
    Average: 8.9
    8.3
    Scalability
    Average: 8.6
    8.8
    Auditing
    Average: 8.1
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    1999
    HQ Location
    Wakefield, MA
    Twitter
    @TheASF
    66,245 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    2,291 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Apache NiFi is a software project designed to enable the automation of data flow between systems.

Users
No information available
Industries
No information available
Market Segment
  • 50% Enterprise
  • 25% Mid-Market
Apache NiFi features and usability ratings that predict user satisfaction
9.0
Has the product been a good partner in doing business?
Average: 9.0
9.3
Automation
Average: 8.9
8.3
Scalability
Average: 8.6
8.8
Auditing
Average: 8.1
Seller Details
Year Founded
1999
HQ Location
Wakefield, MA
Twitter
@TheASF
66,245 Twitter followers
LinkedIn® Page
www.linkedin.com
2,291 employees on LinkedIn®

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  • Overview
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  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    AWS Data Pipeline is a web service that helps you process and move data between different AWS compute and storage services, as well as on-premises data sources, at specified intervals.

    Users
    No information available
    Industries
    • Computer Software
    Market Segment
    • 56% Mid-Market
    • 28% Enterprise
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • AWS Data Pipeline features and usability ratings that predict user satisfaction
    7.4
    Has the product been a good partner in doing business?
    Average: 9.0
    0.0
    No information available
    0.0
    No information available
    0.0
    No information available
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2006
    HQ Location
    Seattle, WA
    Twitter
    @awscloud
    2,233,647 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 Data Pipeline is a web service that helps you process and move data between different AWS compute and storage services, as well as on-premises data sources, at specified intervals.

Users
No information available
Industries
  • Computer Software
Market Segment
  • 56% Mid-Market
  • 28% Enterprise
AWS Data Pipeline features and usability ratings that predict user satisfaction
7.4
Has the product been a good partner in doing business?
Average: 9.0
0.0
No information available
0.0
No information available
0.0
No information available
Seller Details
Year Founded
2006
HQ Location
Seattle, WA
Twitter
@awscloud
2,233,647 Twitter followers
LinkedIn® Page
www.linkedin.com
136,383 employees on LinkedIn®
Ownership
NASDAQ: AMZN
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Amazon S3 Transfer Acceleration makes public Internet transfers to Amazon S3 faster.

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 33% Enterprise
    • 33% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Amazon S3 Transfer Acceleration features and usability ratings that predict user satisfaction
    7.9
    Has the product been a good partner in doing business?
    Average: 9.0
    8.3
    Automation
    Average: 8.9
    9.2
    Scalability
    Average: 8.6
    9.2
    Auditing
    Average: 8.1
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2006
    HQ Location
    Seattle, WA
    Twitter
    @awscloud
    2,233,647 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.

Amazon S3 Transfer Acceleration makes public Internet transfers to Amazon S3 faster.

Users
No information available
Industries
No information available
Market Segment
  • 33% Enterprise
  • 33% Mid-Market
Amazon S3 Transfer Acceleration features and usability ratings that predict user satisfaction
7.9
Has the product been a good partner in doing business?
Average: 9.0
8.3
Automation
Average: 8.9
9.2
Scalability
Average: 8.6
9.2
Auditing
Average: 8.1
Seller Details
Year Founded
2006
HQ Location
Seattle, WA
Twitter
@awscloud
2,233,647 Twitter followers
LinkedIn® Page
www.linkedin.com
136,383 employees on LinkedIn®
Ownership
NASDAQ: AMZN
Entry Level Price:Free 2
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Your ultimate next-gen agile, data delivery platform with modern cloud data warehouse & lake. Create and manage all of your data workloads on one platform. Boost the productivity of your data prof

    Users
    • Data Architect
    • Data Analyst
    Industries
    • Information Technology and Services
    • Health, Wellness and Fitness
    Market Segment
    • 84% Mid-Market
    • 11% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • lyftrondata 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 Handling
    2
    Data Management
    2
    Data Storage
    2
    Ease of Use
    2
    Analytics
    1
    Cons
    Expensive
    1
    Pricing Issues
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • lyftrondata features and usability ratings that predict user satisfaction
    9.5
    Has the product been a good partner in doing business?
    Average: 9.0
    9.6
    Automation
    Average: 8.9
    9.8
    Scalability
    Average: 8.6
    9.6
    Auditing
    Average: 8.1
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Lyftron
    Year Founded
    2019
    HQ Location
    Reston, Virginia
    Twitter
    @lyftron
    22 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    77 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Your ultimate next-gen agile, data delivery platform with modern cloud data warehouse & lake. Create and manage all of your data workloads on one platform. Boost the productivity of your data prof

Users
  • Data Architect
  • Data Analyst
Industries
  • Information Technology and Services
  • Health, Wellness and Fitness
Market Segment
  • 84% Mid-Market
  • 11% Small-Business
lyftrondata 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 Handling
2
Data Management
2
Data Storage
2
Ease of Use
2
Analytics
1
Cons
Expensive
1
Pricing Issues
1
lyftrondata features and usability ratings that predict user satisfaction
9.5
Has the product been a good partner in doing business?
Average: 9.0
9.6
Automation
Average: 8.9
9.8
Scalability
Average: 8.6
9.6
Auditing
Average: 8.1
Seller Details
Seller
Lyftron
Year Founded
2019
HQ Location
Reston, Virginia
Twitter
@lyftron
22 Twitter followers
LinkedIn® Page
www.linkedin.com
77 employees on LinkedIn®
Entry Level Price:Free
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Dataddo is a fully-managed, no-code data integration platform that connects cloud-based applications and dashboarding tools, data warehouses, and data lakes. It offers 3 main products: - Data to Dash

    Users
    No information available
    Industries
    • Marketing and Advertising
    • Computer Software
    Market Segment
    • 52% Small-Business
    • 40% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Dataddo 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
    Data Management
    11
    Customer Support
    10
    Connectors
    9
    Connectors Quantity
    8
    Cons
    Expensive
    6
    Feature Limitations
    5
    Data Limitations
    3
    Limitations
    3
    Pricing Issues
    3
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Dataddo features and usability ratings that predict user satisfaction
    9.0
    Has the product been a good partner in doing business?
    Average: 9.0
    8.3
    Automation
    Average: 8.9
    8.6
    Scalability
    Average: 8.6
    7.6
    Auditing
    Average: 8.1
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Dataddo
    Year Founded
    2015
    HQ Location
    Praha 8, CZ
    Twitter
    @dataddo
    238 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    31 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Dataddo is a fully-managed, no-code data integration platform that connects cloud-based applications and dashboarding tools, data warehouses, and data lakes. It offers 3 main products: - Data to Dash

Users
No information available
Industries
  • Marketing and Advertising
  • Computer Software
Market Segment
  • 52% Small-Business
  • 40% Mid-Market
Dataddo 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
Data Management
11
Customer Support
10
Connectors
9
Connectors Quantity
8
Cons
Expensive
6
Feature Limitations
5
Data Limitations
3
Limitations
3
Pricing Issues
3
Dataddo features and usability ratings that predict user satisfaction
9.0
Has the product been a good partner in doing business?
Average: 9.0
8.3
Automation
Average: 8.9
8.6
Scalability
Average: 8.6
7.6
Auditing
Average: 8.1
Seller Details
Seller
Dataddo
Year Founded
2015
HQ Location
Praha 8, CZ
Twitter
@dataddo
238 Twitter followers
LinkedIn® Page
www.linkedin.com
31 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Daton, The Data Replication Superhero,consolidates your enterprise data into a data warehouse and makes you analytics-ready in minutes!Daton gives data analysts and data scientists access to the data

    Users
    No information available
    Industries
    • Consumer Goods
    • Retail
    Market Segment
    • 50% Mid-Market
    • 44% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Daton 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
    9
    Connectors
    6
    Data Integration
    6
    Ease of Use
    5
    Easy Integrations
    5
    Cons
    Data Inaccuracy
    4
    Data Limitations
    2
    Integration Issues
    2
    Limited Connectors
    2
    Time Delays
    2
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Daton features and usability ratings that predict user satisfaction
    9.5
    Has the product been a good partner in doing business?
    Average: 9.0
    9.0
    Automation
    Average: 8.9
    8.3
    Scalability
    Average: 8.6
    8.3
    Auditing
    Average: 8.1
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2016
    HQ Location
    Westborough, MA
    Twitter
    @SarasAnalytics
    15 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    165 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Daton, The Data Replication Superhero,consolidates your enterprise data into a data warehouse and makes you analytics-ready in minutes!Daton gives data analysts and data scientists access to the data

Users
No information available
Industries
  • Consumer Goods
  • Retail
Market Segment
  • 50% Mid-Market
  • 44% Small-Business
Daton 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
9
Connectors
6
Data Integration
6
Ease of Use
5
Easy Integrations
5
Cons
Data Inaccuracy
4
Data Limitations
2
Integration Issues
2
Limited Connectors
2
Time Delays
2
Daton features and usability ratings that predict user satisfaction
9.5
Has the product been a good partner in doing business?
Average: 9.0
9.0
Automation
Average: 8.9
8.3
Scalability
Average: 8.6
8.3
Auditing
Average: 8.1
Seller Details
Year Founded
2016
HQ Location
Westborough, MA
Twitter
@SarasAnalytics
15 Twitter followers
LinkedIn® Page
www.linkedin.com
165 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Enable your business’s decision-makers to make better, faster decisions with AI recommendations built on reliable, cross-departmental data. Kleene is the only end-to-end platform that organises all yo

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 52% Mid-Market
    • 33% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Kleene 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
    13
    Ease of Use
    11
    Features
    7
    User Interface
    5
    Communication
    4
    Cons
    Bugs
    4
    Bug Issues
    3
    Limitations
    3
    Software Bugs
    3
    SQL Issues
    3
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Kleene features and usability ratings that predict user satisfaction
    9.7
    Has the product been a good partner in doing business?
    Average: 9.0
    9.4
    Automation
    Average: 8.9
    9.2
    Scalability
    Average: 8.6
    8.6
    Auditing
    Average: 8.1
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    kleene.ai
    Year Founded
    2017
    HQ Location
    London, London
    Twitter
    @Kleene_ai
    46 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    40 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Enable your business’s decision-makers to make better, faster decisions with AI recommendations built on reliable, cross-departmental data. Kleene is the only end-to-end platform that organises all yo

Users
No information available
Industries
No information available
Market Segment
  • 52% Mid-Market
  • 33% Small-Business
Kleene 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
13
Ease of Use
11
Features
7
User Interface
5
Communication
4
Cons
Bugs
4
Bug Issues
3
Limitations
3
Software Bugs
3
SQL Issues
3
Kleene features and usability ratings that predict user satisfaction
9.7
Has the product been a good partner in doing business?
Average: 9.0
9.4
Automation
Average: 8.9
9.2
Scalability
Average: 8.6
8.6
Auditing
Average: 8.1
Seller Details
Seller
kleene.ai
Year Founded
2017
HQ Location
London, London
Twitter
@Kleene_ai
46 Twitter followers
LinkedIn® Page
www.linkedin.com
40 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Astera Data Pipeline Builder (Centerprise) provides a no-code, scalable, high-performance, and affordable integration platform designed for technical and non-technical users to connect, transform, and

    Users
    No information available
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 48% Mid-Market
    • 32% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Astera Data Pipeline Builder (Centerprise) 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
    3
    Ease of Use
    3
    API Integration
    1
    Data Migration
    1
    Data Transformation
    1
    Cons
    Lacking Features
    2
    Data Limitations
    1
    Learning Curve
    1
    Limitations
    1
    Poor Customer Support
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Astera Data Pipeline Builder (Centerprise) features and usability ratings that predict user satisfaction
    7.6
    Has the product been a good partner in doing business?
    Average: 9.0
    8.3
    Automation
    Average: 8.9
    7.2
    Scalability
    Average: 8.6
    7.5
    Auditing
    Average: 8.1
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    HQ Location
    Simi Valley, CA
    Twitter
    @AsteraSoftware
    2,354 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    155 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Astera Data Pipeline Builder (Centerprise) provides a no-code, scalable, high-performance, and affordable integration platform designed for technical and non-technical users to connect, transform, and

Users
No information available
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 48% Mid-Market
  • 32% Small-Business
Astera Data Pipeline Builder (Centerprise) 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
3
Ease of Use
3
API Integration
1
Data Migration
1
Data Transformation
1
Cons
Lacking Features
2
Data Limitations
1
Learning Curve
1
Limitations
1
Poor Customer Support
1
Astera Data Pipeline Builder (Centerprise) features and usability ratings that predict user satisfaction
7.6
Has the product been a good partner in doing business?
Average: 9.0
8.3
Automation
Average: 8.9
7.2
Scalability
Average: 8.6
7.5
Auditing
Average: 8.1
Seller Details
HQ Location
Simi Valley, CA
Twitter
@AsteraSoftware
2,354 Twitter followers
LinkedIn® Page
www.linkedin.com
155 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Amazon Kinesis Data Firehose is the easiest way to reliably load real-time streams into data lakes, warehouses, and analytics services. Kinesis Data Firehose can capture, transform, and load streaming

    Users
    No information available
    Industries
    • Information Technology and Services
    Market Segment
    • 46% Mid-Market
    • 33% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Amazon Kinesis Data Firehose 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 Pipelining
    1
    Easy Integrations
    1
    ETL Efficiency
    1
    Integrations
    1
    Real-time Analytics
    1
    Cons
    Data Management
    1
    Data Management Issues
    1
    Limitations
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Amazon Kinesis Data Firehose features and usability ratings that predict user satisfaction
    8.9
    Has the product been a good partner in doing business?
    Average: 9.0
    9.3
    Automation
    Average: 8.9
    9.3
    Scalability
    Average: 8.6
    8.3
    Auditing
    Average: 8.1
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2006
    HQ Location
    Seattle, WA
    Twitter
    @awscloud
    2,233,647 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.

Amazon Kinesis Data Firehose is the easiest way to reliably load real-time streams into data lakes, warehouses, and analytics services. Kinesis Data Firehose can capture, transform, and load streaming

Users
No information available
Industries
  • Information Technology and Services
Market Segment
  • 46% Mid-Market
  • 33% Enterprise
Amazon Kinesis Data Firehose 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 Pipelining
1
Easy Integrations
1
ETL Efficiency
1
Integrations
1
Real-time Analytics
1
Cons
Data Management
1
Data Management Issues
1
Limitations
1
Amazon Kinesis Data Firehose features and usability ratings that predict user satisfaction
8.9
Has the product been a good partner in doing business?
Average: 9.0
9.3
Automation
Average: 8.9
9.3
Scalability
Average: 8.6
8.3
Auditing
Average: 8.1
Seller Details
Year Founded
2006
HQ Location
Seattle, WA
Twitter
@awscloud
2,233,647 Twitter followers
LinkedIn® Page
www.linkedin.com
136,383 employees on LinkedIn®
Ownership
NASDAQ: AMZN
  • Overview
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  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    IBM® InfoSphere® DataStage® is a leading ETL platform that integrates data across multiple enterprise systems. It leverages a high performance parallel framework, available on-premises or in the cloud

    Users
    No information available
    Industries
    • Banking
    • Information Technology and Services
    Market Segment
    • 80% Enterprise
    • 12% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • IBM DataStage 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
    3
    Customer Support
    2
    Speed
    2
    Cost-Effective
    1
    ETL Efficiency
    1
    Cons
    Complex Usability
    1
    Feature Limitations
    1
    Learning Curve
    1
    Learning Difficulty
    1
    Limitations
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • IBM DataStage features and usability ratings that predict user satisfaction
    7.8
    Has the product been a good partner in doing business?
    Average: 9.0
    7.3
    Automation
    Average: 8.9
    8.0
    Scalability
    Average: 8.6
    7.8
    Auditing
    Average: 8.1
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    IBM
    Year Founded
    1911
    HQ Location
    Armonk, NY
    Twitter
    @IBM
    709,861 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    317,108 employees on LinkedIn®
    Ownership
    SWX:IBM
Product Description
How are these determined?Information
This description is provided by the seller.

IBM® InfoSphere® DataStage® is a leading ETL platform that integrates data across multiple enterprise systems. It leverages a high performance parallel framework, available on-premises or in the cloud

Users
No information available
Industries
  • Banking
  • Information Technology and Services
Market Segment
  • 80% Enterprise
  • 12% Mid-Market
IBM DataStage 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
3
Customer Support
2
Speed
2
Cost-Effective
1
ETL Efficiency
1
Cons
Complex Usability
1
Feature Limitations
1
Learning Curve
1
Learning Difficulty
1
Limitations
1
IBM DataStage features and usability ratings that predict user satisfaction
7.8
Has the product been a good partner in doing business?
Average: 9.0
7.3
Automation
Average: 8.9
8.0
Scalability
Average: 8.6
7.8
Auditing
Average: 8.1
Seller Details
Seller
IBM
Year Founded
1911
HQ Location
Armonk, NY
Twitter
@IBM
709,861 Twitter followers
LinkedIn® Page
www.linkedin.com
317,108 employees on LinkedIn®
Ownership
SWX:IBM
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Connect ETL enables extract transfer and load (ETL) of data from multiple sources to Azure targets. Connect ETL is an easy to configure tool that does not require coding or tuning. ETL transformation

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 39% Enterprise
    • 35% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Connect ETL features and usability ratings that predict user satisfaction
    9.1
    Has the product been a good partner in doing business?
    Average: 9.0
    8.0
    Automation
    Average: 8.9
    7.8
    Scalability
    Average: 8.6
    7.7
    Auditing
    Average: 8.1
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Precisely
    HQ Location
    Burlington, Massachusetts
    Twitter
    @PreciselyData
    3,995 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    2,955 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Connect ETL enables extract transfer and load (ETL) of data from multiple sources to Azure targets. Connect ETL is an easy to configure tool that does not require coding or tuning. ETL transformation

Users
No information available
Industries
No information available
Market Segment
  • 39% Enterprise
  • 35% Mid-Market
Connect ETL features and usability ratings that predict user satisfaction
9.1
Has the product been a good partner in doing business?
Average: 9.0
8.0
Automation
Average: 8.9
7.8
Scalability
Average: 8.6
7.7
Auditing
Average: 8.1
Seller Details
Seller
Precisely
HQ Location
Burlington, Massachusetts
Twitter
@PreciselyData
3,995 Twitter followers
LinkedIn® Page
www.linkedin.com
2,955 employees on LinkedIn®
Entry Level Price:$1,499.00
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Build powerful Application, Data & API Integrations & workflows in minutes not months! Flowgear’s internationally renowned platform enables organisations of all sizes to build powerful Applic

    Users
    No information available
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 50% Small-Business
    • 41% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Flowgear 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
    16
    Easy Integrations
    13
    Integrations
    11
    Customer Support
    8
    Intuitive
    8
    Cons
    Learning Curve
    5
    Expensive
    4
    Poor Comprehension
    4
    Poor Integration
    4
    Steep Learning Curve
    4
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Flowgear features and usability ratings that predict user satisfaction
    9.1
    Has the product been a good partner in doing business?
    Average: 9.0
    8.5
    Automation
    Average: 8.9
    8.4
    Scalability
    Average: 8.6
    7.2
    Auditing
    Average: 8.1
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Flowgear
    Year Founded
    2007
    HQ Location
    Johannesburg, Gauteng
    Twitter
    @flowgear
    370 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    34 employees on LinkedIn®
    Phone
    US: 1-800-940-0054 UK: 0-800-098-8164 South Africa: 0861-61-3569
Product Description
How are these determined?Information
This description is provided by the seller.

Build powerful Application, Data & API Integrations & workflows in minutes not months! Flowgear’s internationally renowned platform enables organisations of all sizes to build powerful Applic

Users
No information available
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 50% Small-Business
  • 41% Mid-Market
Flowgear 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
16
Easy Integrations
13
Integrations
11
Customer Support
8
Intuitive
8
Cons
Learning Curve
5
Expensive
4
Poor Comprehension
4
Poor Integration
4
Steep Learning Curve
4
Flowgear features and usability ratings that predict user satisfaction
9.1
Has the product been a good partner in doing business?
Average: 9.0
8.5
Automation
Average: 8.9
8.4
Scalability
Average: 8.6
7.2
Auditing
Average: 8.1
Seller Details
Seller
Flowgear
Year Founded
2007
HQ Location
Johannesburg, Gauteng
Twitter
@flowgear
370 Twitter followers
LinkedIn® Page
www.linkedin.com
34 employees on LinkedIn®
Phone
US: 1-800-940-0054 UK: 0-800-098-8164 South Africa: 0861-61-3569
(80)4.4 out of 5
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Entry Level Price:Contact Us
  • Overview
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  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Improvado is an AI-powered marketing intelligence platform that enables marketing and analytics teams to unlock the full potential of their data for impactful business decisions. Designed for mediu

    Users
    No information available
    Industries
    • Marketing and Advertising
    • Hospital & Health Care
    Market Segment
    • 49% Mid-Market
    • 36% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Improvado 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
    12
    Ease of Use
    12
    Data Management
    9
    Integrations
    9
    Helpful
    8
    Cons
    Learning Curve
    6
    Difficult Learning
    4
    Lack of Information
    4
    Poor Customer Support
    4
    Complex Usability
    3
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Improvado features and usability ratings that predict user satisfaction
    9.4
    Has the product been a good partner in doing business?
    Average: 9.0
    7.5
    Automation
    Average: 8.9
    7.6
    Scalability
    Average: 8.6
    7.0
    Auditing
    Average: 8.1
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Improvado
    Company Website
    Year Founded
    2015
    HQ Location
    San Diego, US
    Twitter
    @improvadoio
    745 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    113 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Improvado is an AI-powered marketing intelligence platform that enables marketing and analytics teams to unlock the full potential of their data for impactful business decisions. Designed for mediu

Users
No information available
Industries
  • Marketing and Advertising
  • Hospital & Health Care
Market Segment
  • 49% Mid-Market
  • 36% Small-Business
Improvado 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
12
Ease of Use
12
Data Management
9
Integrations
9
Helpful
8
Cons
Learning Curve
6
Difficult Learning
4
Lack of Information
4
Poor Customer Support
4
Complex Usability
3
Improvado features and usability ratings that predict user satisfaction
9.4
Has the product been a good partner in doing business?
Average: 9.0
7.5
Automation
Average: 8.9
7.6
Scalability
Average: 8.6
7.0
Auditing
Average: 8.1
Seller Details
Seller
Improvado
Company Website
Year Founded
2015
HQ Location
San Diego, US
Twitter
@improvadoio
745 Twitter followers
LinkedIn® Page
www.linkedin.com
113 employees on LinkedIn®
(19)4.0 out of 5
View top Consulting Services for Oracle Data Integrator
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Oracle Data Integrator (on-premises & Cloud Service) - a high-Performance Bulk Data Movement and Data Transformation. Delivers unique next-generation, extract load and transform (ELT) technology

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 84% Enterprise
    • 16% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Oracle Data Integrator features and usability ratings that predict user satisfaction
    8.1
    Has the product been a good partner in doing business?
    Average: 9.0
    8.9
    Automation
    Average: 8.9
    8.3
    Scalability
    Average: 8.6
    7.8
    Auditing
    Average: 8.1
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Oracle
    Year Founded
    1977
    HQ Location
    Austin, TX
    Twitter
    @Oracle
    824,237 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    199,405 employees on LinkedIn®
    Ownership
    NYSE:ORCL
Product Description
How are these determined?Information
This description is provided by the seller.

Oracle Data Integrator (on-premises & Cloud Service) - a high-Performance Bulk Data Movement and Data Transformation. Delivers unique next-generation, extract load and transform (ELT) technology

Users
No information available
Industries
No information available
Market Segment
  • 84% Enterprise
  • 16% Mid-Market
Oracle Data Integrator features and usability ratings that predict user satisfaction
8.1
Has the product been a good partner in doing business?
Average: 9.0
8.9
Automation
Average: 8.9
8.3
Scalability
Average: 8.6
7.8
Auditing
Average: 8.1
Seller Details
Seller
Oracle
Year Founded
1977
HQ Location
Austin, TX
Twitter
@Oracle
824,237 Twitter followers
LinkedIn® Page
www.linkedin.com
199,405 employees on LinkedIn®
Ownership
NYSE:ORCL