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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
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Featured ETL Tools At A Glance

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

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242 Listings in ETL Tools Available
(1,203)4.5 out of 5
10th 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
    • 37% Enterprise
    • 36% 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
    162
    Speed
    142
    Fast Querying
    121
    Integrations
    119
    Scalability
    116
    Cons
    Expensive
    129
    Query Issues
    74
    Cost Issues
    62
    Cost Management
    60
    Learning Curve
    55
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Google Cloud BigQuery features and usability ratings that predict user satisfaction
    8.6
    Has the product been a good partner in doing business?
    Average: 9.1
    8.9
    Automation
    Average: 8.9
    9.3
    Scalability
    Average: 8.7
    8.3
    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
    31,586,146 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    325,935 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

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

Users
  • Data Engineer
  • Data Analyst
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 37% Enterprise
  • 36% 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
162
Speed
142
Fast Querying
121
Integrations
119
Scalability
116
Cons
Expensive
129
Query Issues
74
Cost Issues
62
Cost Management
60
Learning Curve
55
Google Cloud BigQuery features and usability ratings that predict user satisfaction
8.6
Has the product been a good partner in doing business?
Average: 9.1
8.9
Automation
Average: 8.9
9.3
Scalability
Average: 8.7
8.3
Auditing
Average: 8.1
Seller Details
Seller
Google
Company Website
Year Founded
1998
HQ Location
Mountain View, CA
Twitter
@google
31,586,146 Twitter followers
LinkedIn® Page
www.linkedin.com
325,935 employees on LinkedIn®
(657)4.6 out of 5
Optimized for quick response
5th Easiest To Use in ETL Tools software
View top Consulting Services for Databricks Data Intelligence Platform
Save to My Lists
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

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

    Users
    • Data Engineer
    • Data Analyst
    Industries
    • Information Technology and Services
    • Financial Services
    Market Segment
    • 46% Enterprise
    • 37% Mid-Market
    User Sentiment
    How are these determined?Information
    These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
    • Databricks Data Intelligence Platform is a unified environment for data engineering, analytics, and machine learning, designed to handle large data sets and manage security across multiple cloud environments.
    • Reviewers frequently mention the platform's ability to consolidate data engineering, analytics, and machine learning in one place, its support for multiple programming languages, and its seamless integration with major cloud providers.
    • Reviewers experienced challenges with the platform's steep learning curve, especially for those unfamiliar with Spark or distributed computing, and its cost structure which can become expensive for continuous workloads.
  • 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
    Features
    277
    Ease of Use
    267
    Integrations
    184
    Collaboration
    148
    Easy Integrations
    144
    Cons
    Learning Curve
    106
    Expensive
    94
    Steep Learning Curve
    91
    Missing Features
    63
    Complexity
    61
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Databricks Data Intelligence Platform features and usability ratings that predict user satisfaction
    8.9
    Has the product been a good partner in doing business?
    Average: 9.1
    9.0
    Automation
    Average: 8.9
    9.1
    Scalability
    Average: 8.7
    8.5
    Auditing
    Average: 8.1
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    Year Founded
    2013
    HQ Location
    San Francisco, CA
    Twitter
    @databricks
    85,346 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    13,825 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

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

Users
  • Data Engineer
  • Data Analyst
Industries
  • Information Technology and Services
  • Financial Services
Market Segment
  • 46% Enterprise
  • 37% Mid-Market
User Sentiment
How are these determined?Information
These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
  • Databricks Data Intelligence Platform is a unified environment for data engineering, analytics, and machine learning, designed to handle large data sets and manage security across multiple cloud environments.
  • Reviewers frequently mention the platform's ability to consolidate data engineering, analytics, and machine learning in one place, its support for multiple programming languages, and its seamless integration with major cloud providers.
  • Reviewers experienced challenges with the platform's steep learning curve, especially for those unfamiliar with Spark or distributed computing, and its cost structure which can become expensive for continuous workloads.
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
Features
277
Ease of Use
267
Integrations
184
Collaboration
148
Easy Integrations
144
Cons
Learning Curve
106
Expensive
94
Steep Learning Curve
91
Missing Features
63
Complexity
61
Databricks Data Intelligence Platform features and usability ratings that predict user satisfaction
8.9
Has the product been a good partner in doing business?
Average: 9.1
9.0
Automation
Average: 8.9
9.1
Scalability
Average: 8.7
8.5
Auditing
Average: 8.1
Seller Details
Company Website
Year Founded
2013
HQ Location
San Francisco, CA
Twitter
@databricks
85,346 Twitter followers
LinkedIn® Page
www.linkedin.com
13,825 employees on LinkedIn®

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(965)4.3 out of 5
Optimized for quick response
View top Consulting Services for Domo
Save to My Lists
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

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

    Users
    • Data Analyst
    • Business Analyst
    Industries
    • Computer Software
    • Marketing and Advertising
    Market Segment
    • 49% Mid-Market
    • 29% Enterprise
    User Sentiment
    How are these determined?Information
    These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
    • Domo is a business intelligence tool that centralizes data, provides real-time insights, and simplifies data transformations and visualizations.
    • Users frequently mention the ease of use, the ability to connect multiple data sources, the intuitive interface, and the automation of data transformations as key benefits.
    • Reviewers noted that the software has a steep learning curve, the Analyzer tool is limited, and the new consumption model is confusing.
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Domo Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    209
    Data Visualization
    100
    Easy Integrations
    82
    Integrations
    79
    Intuitive
    79
    Cons
    Learning Curve
    60
    Missing Features
    48
    Data Management Issues
    43
    Expensive
    36
    Limited Customization
    34
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Domo features and usability ratings that predict user satisfaction
    8.8
    Has the product been a good partner in doing business?
    Average: 9.1
    8.5
    Automation
    Average: 8.9
    7.9
    Scalability
    Average: 8.7
    7.2
    Auditing
    Average: 8.1
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Domo
    Company Website
    Year Founded
    2010
    HQ Location
    American Fork, UT
    Twitter
    @Domotalk
    63,965 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    1,331 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

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

Users
  • Data Analyst
  • Business Analyst
Industries
  • Computer Software
  • Marketing and Advertising
Market Segment
  • 49% Mid-Market
  • 29% Enterprise
User Sentiment
How are these determined?Information
These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
  • Domo is a business intelligence tool that centralizes data, provides real-time insights, and simplifies data transformations and visualizations.
  • Users frequently mention the ease of use, the ability to connect multiple data sources, the intuitive interface, and the automation of data transformations as key benefits.
  • Reviewers noted that the software has a steep learning curve, the Analyzer tool is limited, and the new consumption model is confusing.
Domo Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
209
Data Visualization
100
Easy Integrations
82
Integrations
79
Intuitive
79
Cons
Learning Curve
60
Missing Features
48
Data Management Issues
43
Expensive
36
Limited Customization
34
Domo features and usability ratings that predict user satisfaction
8.8
Has the product been a good partner in doing business?
Average: 9.1
8.5
Automation
Average: 8.9
7.9
Scalability
Average: 8.7
7.2
Auditing
Average: 8.1
Seller Details
Seller
Domo
Company Website
Year Founded
2010
HQ Location
American Fork, UT
Twitter
@Domotalk
63,965 Twitter followers
LinkedIn® Page
www.linkedin.com
1,331 employees on LinkedIn®
(390)4.4 out of 5
Optimized for quick response
9th Easiest To Use in ETL Tools software
Save to My Lists
  • 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
    • 47% Enterprise
    • 36% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • SnapLogic Intelligent Integration Platform (IIP) Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    79
    Easy Integrations
    63
    Integrations
    49
    User Interface
    48
    Automation
    41
    Cons
    Performance Issues
    26
    Poor Performance
    23
    Technical Difficulties
    20
    Error Reporting
    18
    Complexity
    17
  • 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: 9.1
    8.6
    Automation
    Average: 8.9
    8.4
    Scalability
    Average: 8.7
    8.1
    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
    7,377 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    349 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
  • 47% Enterprise
  • 36% Mid-Market
SnapLogic Intelligent Integration Platform (IIP) Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
79
Easy Integrations
63
Integrations
49
User Interface
48
Automation
41
Cons
Performance Issues
26
Poor Performance
23
Technical Difficulties
20
Error Reporting
18
Complexity
17
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: 9.1
8.6
Automation
Average: 8.9
8.4
Scalability
Average: 8.7
8.1
Auditing
Average: 8.1
Seller Details
Seller
SnapLogic
Company Website
Year Founded
2006
HQ Location
San Mateo, CA
Twitter
@SnapLogic
7,377 Twitter followers
LinkedIn® Page
www.linkedin.com
349 employees on LinkedIn®
(729)4.7 out of 5
Optimized for quick response
6th 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 enterprise orchestration platform trusted by 12,000+ global customers to move faster, innovate confidently, and lead with AI. The only vendor rated #1 in both analyst and customer revie

    Users
    • Software Engineer
    • Integration Engineer
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 43% Mid-Market
    • 34% 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 that allows users to build and deploy integrations quickly, with features such as encryption, SFTP functionality, batch updates, and app workflows.
    • Users frequently mention the ease of use, the wide range of prebuilt connectors, and the ability to automate tasks and improve processes, resulting in significant time savings.
    • Reviewers noted issues with limited visibility into logs when errors occur, the lack of a dedicated test environment, and a steep learning curve for new users.
  • 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
    336
    Integrations
    226
    Easy Integrations
    214
    Automation
    183
    Features
    176
    Cons
    Complexity
    72
    Data Limitations
    67
    Learning Curve
    67
    Missing Features
    67
    Expensive
    65
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Workato features and usability ratings that predict user satisfaction
    9.4
    Has the product been a good partner in doing business?
    Average: 9.1
    9.1
    Automation
    Average: 8.9
    9.0
    Scalability
    Average: 8.7
    8.3
    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
    3,550 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    1,291 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Workato is the enterprise orchestration platform trusted by 12,000+ global customers to move faster, innovate confidently, and lead with AI. The only vendor rated #1 in both analyst and customer revie

Users
  • Software Engineer
  • Integration Engineer
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 43% Mid-Market
  • 34% 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 that allows users to build and deploy integrations quickly, with features such as encryption, SFTP functionality, batch updates, and app workflows.
  • Users frequently mention the ease of use, the wide range of prebuilt connectors, and the ability to automate tasks and improve processes, resulting in significant time savings.
  • Reviewers noted issues with limited visibility into logs when errors occur, the lack of a dedicated test environment, and a steep learning curve for new users.
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
336
Integrations
226
Easy Integrations
214
Automation
183
Features
176
Cons
Complexity
72
Data Limitations
67
Learning Curve
67
Missing Features
67
Expensive
65
Workato features and usability ratings that predict user satisfaction
9.4
Has the product been a good partner in doing business?
Average: 9.1
9.1
Automation
Average: 8.9
9.0
Scalability
Average: 8.7
8.3
Auditing
Average: 8.1
Seller Details
Seller
Workato
Company Website
Year Founded
2013
HQ Location
Mountain View, California
Twitter
@Workato
3,550 Twitter followers
LinkedIn® Page
www.linkedin.com
1,291 employees on LinkedIn®
(669)4.6 out of 5
Optimized for quick response
View top Consulting Services for Alteryx
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Entry Level Price:$3,000.00
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Alteryx, through it's Alteryx One platform, helps enterprises transform complex, disconnected data into a clean, AI-ready state. Whether you’re creating financial forecasts, analyzing supplier perf

    Users
    • Data Analyst
    • Consultant
    Industries
    • Financial Services
    • Accounting
    Market Segment
    • 62% Enterprise
    • 22% 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.
    • Alteryx is a data science and analytics platform that allows users to prepare, clean, manipulate, and analyze data with a low-code approach.
    • Users like the platform's ease of use, drag-and-drop interface, and ability to handle large files efficiently, as well as its automation capabilities and wide range of integrations.
    • Users mentioned high licensing costs, limited data visualization capabilities, and performance issues with large datasets as drawbacks, and some found the learning curve for advanced features steep.
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Alteryx 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
    328
    Automation
    144
    Intuitive
    130
    Easy Learning
    102
    Problem Solving
    101
    Cons
    Expensive
    87
    Learning Curve
    80
    Missing Features
    62
    Learning Difficulty
    54
    Slow Performance
    40
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Alteryx features and usability ratings that predict user satisfaction
    8.9
    Has the product been a good partner in doing business?
    Average: 9.1
    0.0
    No information available
    0.0
    No information available
    0.0
    No information available
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Alteryx
    Company Website
    Year Founded
    1997
    HQ Location
    Irvine, CA
    Twitter
    @alteryx
    26,332 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    2,265 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Alteryx, through it's Alteryx One platform, helps enterprises transform complex, disconnected data into a clean, AI-ready state. Whether you’re creating financial forecasts, analyzing supplier perf

Users
  • Data Analyst
  • Consultant
Industries
  • Financial Services
  • Accounting
Market Segment
  • 62% Enterprise
  • 22% 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.
  • Alteryx is a data science and analytics platform that allows users to prepare, clean, manipulate, and analyze data with a low-code approach.
  • Users like the platform's ease of use, drag-and-drop interface, and ability to handle large files efficiently, as well as its automation capabilities and wide range of integrations.
  • Users mentioned high licensing costs, limited data visualization capabilities, and performance issues with large datasets as drawbacks, and some found the learning curve for advanced features steep.
Alteryx 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
328
Automation
144
Intuitive
130
Easy Learning
102
Problem Solving
101
Cons
Expensive
87
Learning Curve
80
Missing Features
62
Learning Difficulty
54
Slow Performance
40
Alteryx features and usability ratings that predict user satisfaction
8.9
Has the product been a good partner in doing business?
Average: 9.1
0.0
No information available
0.0
No information available
0.0
No information available
Seller Details
Seller
Alteryx
Company Website
Year Founded
1997
HQ Location
Irvine, CA
Twitter
@alteryx
26,332 Twitter followers
LinkedIn® Page
www.linkedin.com
2,265 employees on LinkedIn®
(81)4.9 out of 5
1st 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.

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

    Users
    No information available
    Industries
    • Computer Software
    • Financial Services
    Market Segment
    • 56% Mid-Market
    • 40% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • 5X Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    35
    Customer Support
    25
    Features
    18
    User Interface
    15
    Integrations
    14
    Cons
    Steep Learning Curve
    5
    Complex Setup
    4
    Feature Limitations
    4
    Learning Curve
    4
    Difficult Setup
    3
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • 5X features and usability ratings that predict user satisfaction
    9.8
    Has the product been a good partner in doing business?
    Average: 9.1
    9.5
    Automation
    Average: 8.9
    9.5
    Scalability
    Average: 8.7
    9.4
    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
    48 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    131 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

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

Users
No information available
Industries
  • Computer Software
  • Financial Services
Market Segment
  • 56% Mid-Market
  • 40% Small-Business
5X Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
35
Customer Support
25
Features
18
User Interface
15
Integrations
14
Cons
Steep Learning Curve
5
Complex Setup
4
Feature Limitations
4
Learning Curve
4
Difficult Setup
3
5X features and usability ratings that predict user satisfaction
9.8
Has the product been a good partner in doing business?
Average: 9.1
9.5
Automation
Average: 8.9
9.5
Scalability
Average: 8.7
9.4
Auditing
Average: 8.1
Seller Details
Seller
5X
Company Website
Year Founded
2020
HQ Location
San Francisco
Twitter
@DataWith5x
48 Twitter followers
LinkedIn® Page
www.linkedin.com
131 employees on LinkedIn®
(447)4.2 out of 5
Optimized for quick response
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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
    • 57% Mid-Market
    • 31% 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
    38
    Connectors Quantity
    24
    Easy Setup
    24
    Easy Integrations
    23
    Connectors Variety
    22
    Cons
    Expensive
    25
    Pricing Issues
    15
    Data Limitations
    9
    Limited Connectors
    8
    Faulty Connectors
    7
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Fivetran features and usability ratings that predict user satisfaction
    8.3
    Has the product been a good partner in doing business?
    Average: 9.1
    8.9
    Automation
    Average: 8.9
    8.5
    Scalability
    Average: 8.7
    7.1
    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
    5,691 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    1,682 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
  • 57% Mid-Market
  • 31% 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
38
Connectors Quantity
24
Easy Setup
24
Easy Integrations
23
Connectors Variety
22
Cons
Expensive
25
Pricing Issues
15
Data Limitations
9
Limited Connectors
8
Faulty Connectors
7
Fivetran features and usability ratings that predict user satisfaction
8.3
Has the product been a good partner in doing business?
Average: 9.1
8.9
Automation
Average: 8.9
8.5
Scalability
Average: 8.7
7.1
Auditing
Average: 8.1
Seller Details
Seller
Fivetran
Company Website
Year Founded
2012
HQ Location
Oakland, CA
Twitter
@fivetran
5,691 Twitter followers
LinkedIn® Page
www.linkedin.com
1,682 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Boost.space is the #1 AI-Ready Data Sync platform on G2—recognized with over 100 customer-voted badges. ⭐️ Today's enterprises are investing heavily in AI, but most initiatives fail. Why? Because A

    Users
    • CEO
    • Founder
    Industries
    • Marketing and Advertising
    • Consulting
    Market Segment
    • 99% Small-Business
    • 1% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Boost.space 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
    Integrations
    220
    Automation
    210
    Easy Integrations
    163
    Features
    150
    Easy Integration
    135
    Cons
    Learning Curve
    179
    Steep Learning Curve
    149
    Learning Difficulty
    62
    Complex Setup
    44
    Beginner Difficulty
    42
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Boost.space features and usability ratings that predict user satisfaction
    8.9
    Has the product been a good partner in doing business?
    Average: 9.1
    9.8
    Automation
    Average: 8.9
    9.3
    Scalability
    Average: 8.7
    8.6
    Auditing
    Average: 8.1
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    Year Founded
    2017
    HQ Location
    Prague, CZ
    Twitter
    @boostspace
    78 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    28 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Boost.space is the #1 AI-Ready Data Sync platform on G2—recognized with over 100 customer-voted badges. ⭐️ Today's enterprises are investing heavily in AI, but most initiatives fail. Why? Because A

Users
  • CEO
  • Founder
Industries
  • Marketing and Advertising
  • Consulting
Market Segment
  • 99% Small-Business
  • 1% Mid-Market
Boost.space 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
Integrations
220
Automation
210
Easy Integrations
163
Features
150
Easy Integration
135
Cons
Learning Curve
179
Steep Learning Curve
149
Learning Difficulty
62
Complex Setup
44
Beginner Difficulty
42
Boost.space features and usability ratings that predict user satisfaction
8.9
Has the product been a good partner in doing business?
Average: 9.1
9.8
Automation
Average: 8.9
9.3
Scalability
Average: 8.7
8.6
Auditing
Average: 8.1
Seller Details
Company Website
Year Founded
2017
HQ Location
Prague, CZ
Twitter
@boostspace
78 Twitter followers
LinkedIn® Page
www.linkedin.com
28 employees on LinkedIn®
Entry Level Price:Contact Us
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

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

    Users
    • Data Engineer
    • Software Engineer
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 42% Enterprise
    • 34% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • IBM StreamSets Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    28
    User Interface
    15
    Data Management
    14
    Data Pipelining
    13
    Integrations
    13
    Cons
    Learning Curve
    12
    Expensive
    8
    Steep Learning Curve
    8
    Learning Difficulty
    7
    Poor Documentation
    7
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • IBM StreamSets features and usability ratings that predict user satisfaction
    8.2
    Has the product been a good partner in doing business?
    Average: 9.1
    7.8
    Automation
    Average: 8.9
    7.6
    Scalability
    Average: 8.7
    7.2
    Auditing
    Average: 8.1
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    IBM
    Year Founded
    1911
    HQ Location
    Armonk, NY
    Twitter
    @IBM
    708,887 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    339,241 employees on LinkedIn®
    Ownership
    SWX:IBM
Product Description
How are these determined?Information
This description is provided by the seller.

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

Users
  • Data Engineer
  • Software Engineer
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 42% Enterprise
  • 34% Mid-Market
IBM StreamSets Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
28
User Interface
15
Data Management
14
Data Pipelining
13
Integrations
13
Cons
Learning Curve
12
Expensive
8
Steep Learning Curve
8
Learning Difficulty
7
Poor Documentation
7
IBM StreamSets features and usability ratings that predict user satisfaction
8.2
Has the product been a good partner in doing business?
Average: 9.1
7.8
Automation
Average: 8.9
7.6
Scalability
Average: 8.7
7.2
Auditing
Average: 8.1
Seller Details
Seller
IBM
Year Founded
1911
HQ Location
Armonk, NY
Twitter
@IBM
708,887 Twitter followers
LinkedIn® Page
www.linkedin.com
339,241 employees on LinkedIn®
Ownership
SWX:IBM
(90)4.6 out of 5
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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 fully managed, serverless data integration service designed to simplify the process of ingesting, preparing, and transforming data from diverse sources. It enables organi

    Users
    • Data Engineer
    • Software Engineer
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 62% Enterprise
    • 28% 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
    6
    Connectors
    5
    Data Integration
    4
    Simple
    4
    Automation
    3
    Cons
    Feature Limitations
    3
    Complex Processes
    2
    Complex Usability
    2
    Connectivity Issues
    2
    Data Limitations
    2
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Azure Data Factory features and usability ratings that predict user satisfaction
    9.1
    Has the product been a good partner in doing business?
    Average: 9.1
    9.2
    Automation
    Average: 8.9
    9.1
    Scalability
    Average: 8.7
    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
    13,084,579 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    226,132 employees on LinkedIn®
    Ownership
    MSFT
Product Description
How are these determined?Information
This description is provided by the seller.

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

Users
  • Data Engineer
  • Software Engineer
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 62% Enterprise
  • 28% 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
6
Connectors
5
Data Integration
4
Simple
4
Automation
3
Cons
Feature Limitations
3
Complex Processes
2
Complex Usability
2
Connectivity Issues
2
Data Limitations
2
Azure Data Factory features and usability ratings that predict user satisfaction
9.1
Has the product been a good partner in doing business?
Average: 9.1
9.2
Automation
Average: 8.9
9.1
Scalability
Average: 8.7
8.4
Auditing
Average: 8.1
Seller Details
Seller
Microsoft
Year Founded
1975
HQ Location
Redmond, Washington
Twitter
@microsoft
13,084,579 Twitter followers
LinkedIn® Page
www.linkedin.com
226,132 employees on LinkedIn®
Ownership
MSFT
(94)4.3 out of 5
Optimized for quick response
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Manage the entire data for AI lifecycle through a single user experience to power the next generation of Gen-AI applications. IBM watsonx.data empowers organizations to simplify and scale unstructure

    Users
    • Software Engineer
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 36% Enterprise
    • 29% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • IBM watsonx.data Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    48
    Features
    31
    Data Management
    30
    Analytics
    25
    Flexibility
    23
    Cons
    Learning Curve
    29
    Complexity
    18
    Expensive
    18
    Difficulty
    14
    Integration Issues
    14
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • IBM watsonx.data features and usability ratings that predict user satisfaction
    8.1
    Has the product been a good partner in doing business?
    Average: 9.1
    6.7
    Automation
    Average: 8.9
    5.0
    Scalability
    Average: 8.7
    3.3
    Auditing
    Average: 8.1
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    IBM
    Company Website
    Year Founded
    1911
    HQ Location
    Armonk, NY
    Twitter
    @IBM
    708,887 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    339,241 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Manage the entire data for AI lifecycle through a single user experience to power the next generation of Gen-AI applications. IBM watsonx.data empowers organizations to simplify and scale unstructure

Users
  • Software Engineer
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 36% Enterprise
  • 29% Small-Business
IBM watsonx.data Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
48
Features
31
Data Management
30
Analytics
25
Flexibility
23
Cons
Learning Curve
29
Complexity
18
Expensive
18
Difficulty
14
Integration Issues
14
IBM watsonx.data features and usability ratings that predict user satisfaction
8.1
Has the product been a good partner in doing business?
Average: 9.1
6.7
Automation
Average: 8.9
5.0
Scalability
Average: 8.7
3.3
Auditing
Average: 8.1
Seller Details
Seller
IBM
Company Website
Year Founded
1911
HQ Location
Armonk, NY
Twitter
@IBM
708,887 Twitter followers
LinkedIn® Page
www.linkedin.com
339,241 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

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

    Users
    • Data Engineer
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 42% Mid-Market
    • 36% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Boomi Data Integration Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    11
    Customer Support
    9
    Data Management
    7
    Automation
    4
    Customer Experience
    4
    Cons
    Lacking Features
    4
    Insufficient Information
    3
    Bugs
    2
    Data Limitations
    2
    Data Management
    2
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Boomi Data Integration features and usability ratings that predict user satisfaction
    9.6
    Has the product been a good partner in doing business?
    Average: 9.1
    9.5
    Automation
    Average: 8.9
    9.3
    Scalability
    Average: 8.7
    8.8
    Auditing
    Average: 8.1
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Boomi
    Year Founded
    2000
    HQ Location
    Chesterbrook, PA
    Twitter
    @boomi
    101,474 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    2,824 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

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

Users
  • Data Engineer
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 42% Mid-Market
  • 36% Small-Business
Boomi Data Integration Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
11
Customer Support
9
Data Management
7
Automation
4
Customer Experience
4
Cons
Lacking Features
4
Insufficient Information
3
Bugs
2
Data Limitations
2
Data Management
2
Boomi Data Integration features and usability ratings that predict user satisfaction
9.6
Has the product been a good partner in doing business?
Average: 9.1
9.5
Automation
Average: 8.9
9.3
Scalability
Average: 8.7
8.8
Auditing
Average: 8.1
Seller Details
Seller
Boomi
Year Founded
2000
HQ Location
Chesterbrook, PA
Twitter
@boomi
101,474 Twitter followers
LinkedIn® Page
www.linkedin.com
2,824 employees on LinkedIn®
(466)4.5 out of 5
Optimized for quick response
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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
    • Marketing Manager
    Industries
    • Computer Games
    • Marketing and Advertising
    Market Segment
    • 52% Mid-Market
    • 27% 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
    101
    Ease of Use
    67
    Helpful
    48
    Features
    46
    Analytics
    39
    Cons
    Poor UI
    24
    Poor Interface Design
    22
    Limited Features
    19
    Lack of Information
    18
    Data Limitations
    17
  • 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: 9.1
    8.9
    Automation
    Average: 8.9
    8.9
    Scalability
    Average: 8.7
    8.3
    Auditing
    Average: 8.1
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Singular
    Company Website
    Year Founded
    2014
    HQ Location
    Palo Alto, California
    Twitter
    @TweetSingular
    1,272 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    359 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
  • Marketing Manager
Industries
  • Computer Games
  • Marketing and Advertising
Market Segment
  • 52% Mid-Market
  • 27% 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
101
Ease of Use
67
Helpful
48
Features
46
Analytics
39
Cons
Poor UI
24
Poor Interface Design
22
Limited Features
19
Lack of Information
18
Data Limitations
17
Singular features and usability ratings that predict user satisfaction
9.2
Has the product been a good partner in doing business?
Average: 9.1
8.9
Automation
Average: 8.9
8.9
Scalability
Average: 8.7
8.3
Auditing
Average: 8.1
Seller Details
Seller
Singular
Company Website
Year Founded
2014
HQ Location
Palo Alto, California
Twitter
@TweetSingular
1,272 Twitter followers
LinkedIn® Page
www.linkedin.com
359 employees on LinkedIn®
(195)4.7 out of 5
11th 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.

    dbt is a transformation workflow that lets data teams quickly and collaboratively deploy analytics code following software engineering best practices like modularity, portability, CI/CD, and documenta

    Users
    • Analytics Engineer
    • Data Engineer
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 57% Mid-Market
    • 27% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • dbt 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
    Features
    21
    Automation
    18
    Transformation
    15
    Data Quality
    14
    Cons
    Limited Functionality
    12
    Dependency Issues
    9
    Error Handling
    9
    Steep Learning Curve
    9
    Error Reporting
    8
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • dbt features and usability ratings that predict user satisfaction
    8.7
    Has the product been a good partner in doing business?
    Average: 9.1
    9.5
    Automation
    Average: 8.9
    9.2
    Scalability
    Average: 8.7
    8.2
    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
    5,691 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    1,682 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

dbt is a transformation workflow that lets data teams quickly and collaboratively deploy analytics code following software engineering best practices like modularity, portability, CI/CD, and documenta

Users
  • Analytics Engineer
  • Data Engineer
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 57% Mid-Market
  • 27% Small-Business
dbt 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
Features
21
Automation
18
Transformation
15
Data Quality
14
Cons
Limited Functionality
12
Dependency Issues
9
Error Handling
9
Steep Learning Curve
9
Error Reporting
8
dbt features and usability ratings that predict user satisfaction
8.7
Has the product been a good partner in doing business?
Average: 9.1
9.5
Automation
Average: 8.9
9.2
Scalability
Average: 8.7
8.2
Auditing
Average: 8.1
Seller Details
Seller
Fivetran
Company Website
Year Founded
2012
HQ Location
Oakland, CA
Twitter
@fivetran
5,691 Twitter followers
LinkedIn® Page
www.linkedin.com
1,682 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.