Introducing G2.ai, the future of software buying.Try now

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
Show More
Show Less

Featured ETL Tools At A Glance

Free Plan Available:
Alteryx
Sponsored
Alteryx
Leader:
Google Cloud BigQuery
Google Cloud BigQuery
Highest Performer:
5X
5X
Easiest to Use:
5X
5X
Top Trending:
Peliqan
Peliqan
Show LessShow More
Highest Performer:
5X
5X
Easiest to Use:
5X
5X
Top Trending:
Peliqan
Peliqan

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

Coming Soon
Get Trending ETL Tools Products in Your Inbox

A weekly snapshot of rising stars, new launches, and what everyone's buzzing about.

Sample Trending Products Newsletter
  • Segment
  • Rating
  • Language
  • Pricing
  • Data Management Strategy
No filters applied
  • Segment
  • Rating
  • Language
  • Pricing
  • Data Management Strategy
Clear Filter
More Filters
Market Segments
All Segments
Small Business
Mid Market
Enterprise
Avg. Customer Review
Language
Pricing
Data Management Strategy
Sort by
Clear All
241 Listings in ETL Tools Available
  • Sort By:
    G2 Score
Google Cloud BigQuery
(1,201)4.5 out of 5
9th Easiest To Use in ETL Tools software
View top Consulting Services for Google Cloud BigQuery
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.

    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
    169
    Speed
    139
    Fast Querying
    120
    Integrations
    119
    Query Efficiency
    116
    Cons
    Expensive
    126
    Query Issues
    77
    Cost Issues
    58
    Cost Management
    58
    Learning Curve
    54
    View All Pros and Cons
  • User Satisfaction
    Expand/Collapse User Satisfaction
    • Google Cloud BigQuery features and usability ratings that predict user satisfaction
    8.7
    Has the product been a good partner in doing business?
    Average: 9.0
    8.9
    Automation
    Average: 8.9
    9.4
    Scalability
    Average: 8.6
    8.3
    Auditing
    Average: 8.0
  • Seller Details
    Expand/Collapse Seller Details
    • Seller Details
    Seller
    Google
    Company Website
    Year Founded
    1998
    HQ Location
    Mountain View, CA
    Twitter
    @google
    31,497,057 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    325,307 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
169
Speed
139
Fast Querying
120
Integrations
119
Query Efficiency
116
Cons
Expensive
126
Query Issues
77
Cost Issues
58
Cost Management
58
Learning Curve
54
View All Pros and Cons
Google Cloud BigQuery features and usability ratings that predict user satisfaction
8.7
Has the product been a good partner in doing business?
Average: 9.0
8.9
Automation
Average: 8.9
9.4
Scalability
Average: 8.6
8.3
Auditing
Average: 8.0
Seller Details
Seller
Google
Company Website
Year Founded
1998
HQ Location
Mountain View, CA
Twitter
@google
31,497,057 Twitter followers
LinkedIn® Page
www.linkedin.com
325,307 employees on LinkedIn®
Databricks Data Intelligence Platform
(633)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 Block, Comcast, Condé Nast, Rivian, Shell and over 60% of the Fortune 500 — rely on the Databricks Data Inte

    Users
    • Data Engineer
    • Data Scientist
    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 analytics platform that combines data engineering, analytics, governance, and machine learning capabilities for efficient data processing and management.
    • Users frequently mention the platform's seamless integration of various data tasks, its collaborative environment, and its ability to handle large-scale data efficiently, making it a powerful tool for data-driven teams.
    • Reviewers experienced a steep learning curve, especially for those unfamiliar with Spark or distributed computing, and found the cost structure to be potentially 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
    266
    Ease of Use
    256
    Integrations
    178
    Collaboration
    142
    Easy Integrations
    139
    Cons
    Learning Curve
    101
    Steep Learning Curve
    88
    Expensive
    87
    Missing Features
    62
    UX Improvement
    58
    View All Pros and Cons
  • User Satisfaction
    Expand/Collapse User Satisfaction
    • Databricks Data Intelligence Platform features and usability ratings that predict user satisfaction
    8.8
    Has the product been a good partner in doing business?
    Average: 9.0
    9.0
    Automation
    Average: 8.9
    9.1
    Scalability
    Average: 8.6
    8.5
    Auditing
    Average: 8.0
  • Seller Details
    Expand/Collapse Seller Details
    • Seller Details
    Seller
    Databricks Inc.
    Company Website
    Year Founded
    1999
    HQ Location
    San Francisco, CA
    Twitter
    @databricks
    84,124 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    13,680 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 Block, Comcast, Condé Nast, Rivian, Shell and over 60% of the Fortune 500 — rely on the Databricks Data Inte

Users
  • Data Engineer
  • Data Scientist
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 analytics platform that combines data engineering, analytics, governance, and machine learning capabilities for efficient data processing and management.
  • Users frequently mention the platform's seamless integration of various data tasks, its collaborative environment, and its ability to handle large-scale data efficiently, making it a powerful tool for data-driven teams.
  • Reviewers experienced a steep learning curve, especially for those unfamiliar with Spark or distributed computing, and found the cost structure to be potentially 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
266
Ease of Use
256
Integrations
178
Collaboration
142
Easy Integrations
139
Cons
Learning Curve
101
Steep Learning Curve
88
Expensive
87
Missing Features
62
UX Improvement
58
View All Pros and Cons
Databricks Data Intelligence Platform features and usability ratings that predict user satisfaction
8.8
Has the product been a good partner in doing business?
Average: 9.0
9.0
Automation
Average: 8.9
9.1
Scalability
Average: 8.6
8.5
Auditing
Average: 8.0
Seller Details
Seller
Databricks Inc.
Company Website
Year Founded
1999
HQ Location
San Francisco, CA
Twitter
@databricks
84,124 Twitter followers
LinkedIn® Page
www.linkedin.com
13,680 employees on LinkedIn®

G2 Deals

Buying software just got smarter. And cheaper.

This is how G2 Deals can help you:

  • Easily shop for curated – and trusted – software
  • Own your own software buying journey
  • Discover exclusive deals on software
See Exclusive Offers
Domo
(939)4.3 out of 5
Optimized for quick response
View top Consulting Services for Domo
Save to My Lists
Free trial available
  • Overview
    Expand/Collapse Overview
    • Product Description
    How are these determined?Information
    This description is provided by the seller.

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

    Users
    • Data Analyst
    • Business Analyst
    Industries
    • Computer Software
    • Marketing and Advertising
    Market Segment
    • 50% 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 provides data visualization and transformation functionalities, enabling users to manage and analyze data from various sources.
    • Reviewers appreciate Domo's user-friendly interface, its ability to automate data transformation processes, and its wide range of connectors that simplify data integration.
    • Users experienced limitations with the Analyzer tool, difficulties in learning how to use the platform, and challenges with customizing dashboards and managing credit consumption.
  • 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
    Intuitive
    80
    Integrations
    79
    Cons
    Learning Curve
    60
    Missing Features
    48
    Data Management Issues
    43
    Expensive
    36
    Limited Customization
    35
    View All Pros and Cons
  • User Satisfaction
    Expand/Collapse User Satisfaction
    • Domo features and usability ratings that predict user satisfaction
    8.8
    Has the product been a good partner in doing business?
    Average: 9.0
    8.4
    Automation
    Average: 8.9
    7.9
    Scalability
    Average: 8.6
    7.2
    Auditing
    Average: 8.0
  • Seller Details
    Expand/Collapse Seller Details
    • Seller Details
    Seller
    Domo
    Company Website
    Year Founded
    2010
    HQ Location
    American Fork, UT
    Twitter
    @Domotalk
    64,045 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    1,322 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
  • 50% 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 provides data visualization and transformation functionalities, enabling users to manage and analyze data from various sources.
  • Reviewers appreciate Domo's user-friendly interface, its ability to automate data transformation processes, and its wide range of connectors that simplify data integration.
  • Users experienced limitations with the Analyzer tool, difficulties in learning how to use the platform, and challenges with customizing dashboards and managing credit consumption.
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
Intuitive
80
Integrations
79
Cons
Learning Curve
60
Missing Features
48
Data Management Issues
43
Expensive
36
Limited Customization
35
View All Pros and Cons
Domo features and usability ratings that predict user satisfaction
8.8
Has the product been a good partner in doing business?
Average: 9.0
8.4
Automation
Average: 8.9
7.9
Scalability
Average: 8.6
7.2
Auditing
Average: 8.0
Seller Details
Seller
Domo
Company Website
Year Founded
2010
HQ Location
American Fork, UT
Twitter
@Domotalk
64,045 Twitter followers
LinkedIn® Page
www.linkedin.com
1,322 employees on LinkedIn®
Workato
(704)4.7 out of 5
Optimized for quick response
6th Easiest To Use in ETL Tools software
View top Consulting Services for Workato
Save to My Lists
  • 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
    • 35% Enterprise
    User Sentiment
    How are these determined?Information
    These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
    • Workato is a low code, no code tool designed to create automation solutions and integrate systems like Zendesk and Google Sheets.
    • Users frequently mention the platform's intuitive nature, ease of use, smooth implementation, wide range of connectors, and the ability to clone or reuse recipes, which saves time and encourages safe experimentation.
    • Reviewers noted issues with transparency into cost structure, stringent constraints imposed by Workato development, difficulties with initial integration, and occasional freezing when the job-queue increases.
  • 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
    277
    Integrations
    183
    Easy Integrations
    175
    Automation
    148
    Features
    140
    Cons
    Expensive
    58
    Complexity
    55
    Data Limitations
    54
    Learning Curve
    50
    Missing Features
    46
    View All Pros and Cons
  • User Satisfaction
    Expand/Collapse User Satisfaction
    • Workato features and usability ratings that predict user satisfaction
    9.4
    Has the product been a good partner in doing business?
    Average: 9.0
    9.1
    Automation
    Average: 8.9
    9.0
    Scalability
    Average: 8.6
    8.3
    Auditing
    Average: 8.0
  • Seller Details
    Expand/Collapse Seller Details
    • Seller Details
    Seller
    Workato
    Company Website
    Year Founded
    2013
    HQ Location
    Mountain View, California
    Twitter
    @Workato
    3,561 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
  • 35% Enterprise
User Sentiment
How are these determined?Information
These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
  • Workato is a low code, no code tool designed to create automation solutions and integrate systems like Zendesk and Google Sheets.
  • Users frequently mention the platform's intuitive nature, ease of use, smooth implementation, wide range of connectors, and the ability to clone or reuse recipes, which saves time and encourages safe experimentation.
  • Reviewers noted issues with transparency into cost structure, stringent constraints imposed by Workato development, difficulties with initial integration, and occasional freezing when the job-queue increases.
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
277
Integrations
183
Easy Integrations
175
Automation
148
Features
140
Cons
Expensive
58
Complexity
55
Data Limitations
54
Learning Curve
50
Missing Features
46
View All Pros and Cons
Workato features and usability ratings that predict user satisfaction
9.4
Has the product been a good partner in doing business?
Average: 9.0
9.1
Automation
Average: 8.9
9.0
Scalability
Average: 8.6
8.3
Auditing
Average: 8.0
Seller Details
Seller
Workato
Company Website
Year Founded
2013
HQ Location
Mountain View, California
Twitter
@Workato
3,561 Twitter followers
LinkedIn® Page
www.linkedin.com
1,291 employees on LinkedIn®
SnapLogic Intelligent Integration Platform (IIP)
(378)4.3 out of 5
Optimized for quick response
10th 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
    • 48% Enterprise
    • 35% 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
    66
    Easy Integrations
    54
    User Interface
    43
    Integrations
    38
    Customer Support
    32
    Cons
    Performance Issues
    24
    Poor Performance
    21
    Technical Difficulties
    16
    Error Reporting
    15
    Learning Curve
    15
    View All Pros and Cons
  • User Satisfaction
    Expand/Collapse User Satisfaction
    • SnapLogic Intelligent Integration Platform (IIP) features and usability ratings that predict user satisfaction
    8.7
    Has the product been a good partner in doing business?
    Average: 9.0
    8.5
    Automation
    Average: 8.9
    8.3
    Scalability
    Average: 8.6
    8.1
    Auditing
    Average: 8.0
  • Seller Details
    Expand/Collapse Seller Details
    • Seller Details
    Seller
    SnapLogic
    Company Website
    Year Founded
    2006
    HQ Location
    San Mateo, CA
    Twitter
    @SnapLogic
    7,388 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    357 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

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

Users
  • Data Engineer
  • Consultant
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 48% Enterprise
  • 35% 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
66
Easy Integrations
54
User Interface
43
Integrations
38
Customer Support
32
Cons
Performance Issues
24
Poor Performance
21
Technical Difficulties
16
Error Reporting
15
Learning Curve
15
View All Pros and Cons
SnapLogic Intelligent Integration Platform (IIP) features and usability ratings that predict user satisfaction
8.7
Has the product been a good partner in doing business?
Average: 9.0
8.5
Automation
Average: 8.9
8.3
Scalability
Average: 8.6
8.1
Auditing
Average: 8.0
Seller Details
Seller
SnapLogic
Company Website
Year Founded
2006
HQ Location
San Mateo, CA
Twitter
@SnapLogic
7,388 Twitter followers
LinkedIn® Page
www.linkedin.com
357 employees on LinkedIn®
Alteryx
(664)4.6 out of 5
Optimized for quick response
View top Consulting Services for Alteryx
Save to My Lists
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
    • 63% 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 software that allows users to prepare, blend, and analyze data without writing code, featuring a drag-and-drop interface and automation capabilities.
    • Reviewers like the ease of use, the ability to handle large databases, the drag-and-drop workflow builder, and the ability to connect multiple data sources and automate tasks.
    • Users mentioned high licensing costs, limited data visualization capabilities, a steep learning curve for advanced tools, and performance issues with large datasets.
  • 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
    324
    Automation
    140
    Intuitive
    130
    Easy Learning
    101
    Problem Solving
    101
    Cons
    Expensive
    86
    Learning Curve
    80
    Missing Features
    61
    Learning Difficulty
    54
    Slow Performance
    40
    View All Pros and Cons
  • 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: 9.0
    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
    26,382 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
  • 63% 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 software that allows users to prepare, blend, and analyze data without writing code, featuring a drag-and-drop interface and automation capabilities.
  • Reviewers like the ease of use, the ability to handle large databases, the drag-and-drop workflow builder, and the ability to connect multiple data sources and automate tasks.
  • Users mentioned high licensing costs, limited data visualization capabilities, a steep learning curve for advanced tools, and performance issues with large datasets.
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
324
Automation
140
Intuitive
130
Easy Learning
101
Problem Solving
101
Cons
Expensive
86
Learning Curve
80
Missing Features
61
Learning Difficulty
54
Slow Performance
40
View All Pros and Cons
Alteryx features and usability ratings that predict user satisfaction
8.9
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
Seller
Alteryx
Company Website
Year Founded
1997
HQ Location
Irvine, CA
Twitter
@alteryx
26,382 Twitter followers
LinkedIn® Page
www.linkedin.com
2,265 employees on LinkedIn®
5X
(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
    View All Pros and Cons
  • User Satisfaction
    Expand/Collapse User Satisfaction
    • 5X features and usability ratings that predict user satisfaction
    9.8
    Has the product been a good partner in doing business?
    Average: 9.0
    9.5
    Automation
    Average: 8.9
    9.5
    Scalability
    Average: 8.6
    9.4
    Auditing
    Average: 8.0
  • Seller Details
    Expand/Collapse Seller Details
    • Seller Details
    Seller
    5X
    Company Website
    Year Founded
    2020
    HQ Location
    San Francisco
    Twitter
    @DataWith5x
    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
View All Pros and Cons
5X features and usability ratings that predict user satisfaction
9.8
Has the product been a good partner in doing business?
Average: 9.0
9.5
Automation
Average: 8.9
9.5
Scalability
Average: 8.6
9.4
Auditing
Average: 8.0
Seller Details
Seller
5X
Company Website
Year Founded
2020
HQ Location
San Francisco
Twitter
@DataWith5x
48 Twitter followers
LinkedIn® Page
www.linkedin.com
131 employees on LinkedIn®
Azure Data Factory
(87)4.6 out of 5
View top Consulting Services for Azure Data Factory
Save to My Lists
  • Overview
    Expand/Collapse Overview
    • Product Description
    How are these determined?Information
    This description is provided by the seller.

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

    Users
    • Data Engineer
    • Software Engineer
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 63% Enterprise
    • 29% 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
    View All Pros and Cons
  • User Satisfaction
    Expand/Collapse User Satisfaction
    • Azure Data Factory features and usability ratings that predict user satisfaction
    9.3
    Has the product been a good partner in doing business?
    Average: 9.0
    9.1
    Automation
    Average: 8.9
    9.1
    Scalability
    Average: 8.6
    8.4
    Auditing
    Average: 8.0
  • Seller Details
    Expand/Collapse Seller Details
    • Seller Details
    Seller
    Microsoft
    Year Founded
    1975
    HQ Location
    Redmond, Washington
    Twitter
    @microsoft
    13,105,074 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    220,934 employees on LinkedIn®
    Ownership
    MSFT
Product Description
How are these determined?Information
This description is provided by the seller.

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

Users
  • Data Engineer
  • Software Engineer
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 63% Enterprise
  • 29% 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
View All Pros and Cons
Azure Data Factory features and usability ratings that predict user satisfaction
9.3
Has the product been a good partner in doing business?
Average: 9.0
9.1
Automation
Average: 8.9
9.1
Scalability
Average: 8.6
8.4
Auditing
Average: 8.0
Seller Details
Seller
Microsoft
Year Founded
1975
HQ Location
Redmond, Washington
Twitter
@microsoft
13,105,074 Twitter followers
LinkedIn® Page
www.linkedin.com
220,934 employees on LinkedIn®
Ownership
MSFT
Fivetran
(445)4.2 out of 5
Optimized for quick response
View top Consulting Services for Fivetran
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.

    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
    39
    Connectors Quantity
    24
    Easy Integrations
    24
    Easy Setup
    24
    Connectors Variety
    22
    Cons
    Expensive
    26
    Pricing Issues
    15
    Data Limitations
    9
    Limited Connectors
    9
    Faulty Connectors
    8
    View All Pros and Cons
  • 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: 9.0
    8.9
    Automation
    Average: 8.9
    8.5
    Scalability
    Average: 8.6
    7.1
    Auditing
    Average: 8.0
  • Seller Details
    Expand/Collapse Seller Details
    • Seller Details
    Seller
    Fivetran
    Company Website
    Year Founded
    2012
    HQ Location
    Oakland, CA
    Twitter
    @fivetran
    5,683 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
39
Connectors Quantity
24
Easy Integrations
24
Easy Setup
24
Connectors Variety
22
Cons
Expensive
26
Pricing Issues
15
Data Limitations
9
Limited Connectors
9
Faulty Connectors
8
View All Pros and Cons
Fivetran features and usability ratings that predict user satisfaction
8.3
Has the product been a good partner in doing business?
Average: 9.0
8.9
Automation
Average: 8.9
8.5
Scalability
Average: 8.6
7.1
Auditing
Average: 8.0
Seller Details
Seller
Fivetran
Company Website
Year Founded
2012
HQ Location
Oakland, CA
Twitter
@fivetran
5,683 Twitter followers
LinkedIn® Page
www.linkedin.com
1,682 employees on LinkedIn®
Boost.space
(351)4.6 out of 5
Save to My Lists
Entry Level Price:Starting at $800.00
  • 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
    219
    Automation
    209
    Easy Integrations
    162
    Features
    150
    Easy Integration
    135
    Cons
    Learning Curve
    178
    Steep Learning Curve
    148
    Learning Difficulty
    62
    Complex Setup
    44
    Beginner Difficulty
    42
    View All Pros and Cons
  • 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: 9.0
    9.8
    Automation
    Average: 8.9
    9.3
    Scalability
    Average: 8.6
    8.6
    Auditing
    Average: 8.0
  • Seller Details
    Expand/Collapse Seller Details
    • Seller Details
    Seller
    Boost.space s.r.o.
    Company Website
    Year Founded
    2017
    HQ Location
    Prague, CZ
    Twitter
    @boostspace
    79 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
219
Automation
209
Easy Integrations
162
Features
150
Easy Integration
135
Cons
Learning Curve
178
Steep Learning Curve
148
Learning Difficulty
62
Complex Setup
44
Beginner Difficulty
42
View All Pros and Cons
Boost.space features and usability ratings that predict user satisfaction
8.9
Has the product been a good partner in doing business?
Average: 9.0
9.8
Automation
Average: 8.9
9.3
Scalability
Average: 8.6
8.6
Auditing
Average: 8.0
Seller Details
Seller
Boost.space s.r.o.
Company Website
Year Founded
2017
HQ Location
Prague, CZ
Twitter
@boostspace
79 Twitter followers
LinkedIn® Page
www.linkedin.com
28 employees on LinkedIn®
IBM StreamSets
(115)4.0 out of 5
Optimized for quick response
Save to My Lists
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
    27
    User Interface
    15
    Data Management
    13
    Data Pipelining
    12
    Integrations
    12
    Cons
    Learning Curve
    12
    Expensive
    8
    Steep Learning Curve
    8
    Learning Difficulty
    7
    Poor Documentation
    7
    View All Pros and Cons
  • User Satisfaction
    Expand/Collapse User Satisfaction
    • IBM StreamSets features and usability ratings that predict user satisfaction
    8.2
    Has the product been a good partner in doing business?
    Average: 9.0
    7.8
    Automation
    Average: 8.9
    7.6
    Scalability
    Average: 8.6
    7.2
    Auditing
    Average: 8.0
  • Seller Details
    Expand/Collapse Seller Details
    • Seller Details
    Seller
    IBM
    Company Website
    Year Founded
    1911
    HQ Location
    Armonk, NY
    Twitter
    @IBM
    709,128 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    339,241 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

IBM 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
27
User Interface
15
Data Management
13
Data Pipelining
12
Integrations
12
Cons
Learning Curve
12
Expensive
8
Steep Learning Curve
8
Learning Difficulty
7
Poor Documentation
7
View All Pros and Cons
IBM StreamSets features and usability ratings that predict user satisfaction
8.2
Has the product been a good partner in doing business?
Average: 9.0
7.8
Automation
Average: 8.9
7.6
Scalability
Average: 8.6
7.2
Auditing
Average: 8.0
Seller Details
Seller
IBM
Company Website
Year Founded
1911
HQ Location
Armonk, NY
Twitter
@IBM
709,128 Twitter followers
LinkedIn® Page
www.linkedin.com
339,241 employees on LinkedIn®
IBM watsonx.data
(93)4.3 out of 5
Optimized for quick response
Save to My Lists
  • 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
    • 37% 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
    47
    Features
    31
    Data Management
    29
    Analytics
    24
    Flexibility
    22
    Cons
    Learning Curve
    29
    Complexity
    18
    Expensive
    18
    Difficulty
    14
    Integration Issues
    14
    View All Pros and Cons
  • User Satisfaction
    Expand/Collapse User Satisfaction
    • IBM watsonx.data features and usability ratings that predict user satisfaction
    8.0
    Has the product been a good partner in doing business?
    Average: 9.0
    6.7
    Automation
    Average: 8.9
    5.0
    Scalability
    Average: 8.6
    3.3
    Auditing
    Average: 8.0
  • Seller Details
    Expand/Collapse Seller Details
    • Seller Details
    Seller
    IBM
    Company Website
    Year Founded
    1911
    HQ Location
    Armonk, NY
    Twitter
    @IBM
    709,128 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
  • 37% 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
47
Features
31
Data Management
29
Analytics
24
Flexibility
22
Cons
Learning Curve
29
Complexity
18
Expensive
18
Difficulty
14
Integration Issues
14
View All Pros and Cons
IBM watsonx.data features and usability ratings that predict user satisfaction
8.0
Has the product been a good partner in doing business?
Average: 9.0
6.7
Automation
Average: 8.9
5.0
Scalability
Average: 8.6
3.3
Auditing
Average: 8.0
Seller Details
Seller
IBM
Company Website
Year Founded
1911
HQ Location
Armonk, NY
Twitter
@IBM
709,128 Twitter followers
LinkedIn® Page
www.linkedin.com
339,241 employees on LinkedIn®
Singular
(465)4.5 out of 5
Optimized for quick response
View top Consulting Services for Singular
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.

    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
    • 28% 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
    103
    Ease of Use
    68
    Helpful
    48
    Features
    45
    Analytics
    39
    Cons
    Poor UI
    23
    Poor Interface Design
    21
    Limited Features
    19
    Lack of Information
    18
    Limitations
    17
    View All Pros and Cons
  • User Satisfaction
    Expand/Collapse User Satisfaction
    • Singular features and usability ratings that predict user satisfaction
    9.2
    Has the product been a good partner in doing business?
    Average: 9.0
    8.9
    Automation
    Average: 8.9
    8.9
    Scalability
    Average: 8.6
    8.3
    Auditing
    Average: 8.0
  • Seller Details
    Expand/Collapse Seller Details
    • Seller Details
    Seller
    Singular
    Company Website
    Year Founded
    2014
    HQ Location
    Palo Alto, California
    Twitter
    @TweetSingular
    1,267 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    357 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
  • 28% 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
103
Ease of Use
68
Helpful
48
Features
45
Analytics
39
Cons
Poor UI
23
Poor Interface Design
21
Limited Features
19
Lack of Information
18
Limitations
17
View All Pros and Cons
Singular features and usability ratings that predict user satisfaction
9.2
Has the product been a good partner in doing business?
Average: 9.0
8.9
Automation
Average: 8.9
8.9
Scalability
Average: 8.6
8.3
Auditing
Average: 8.0
Seller Details
Seller
Singular
Company Website
Year Founded
2014
HQ Location
Palo Alto, California
Twitter
@TweetSingular
1,267 Twitter followers
LinkedIn® Page
www.linkedin.com
357 employees on LinkedIn®
Boomi Data Integration
(120)4.7 out of 5
15th Easiest To Use in ETL Tools software
Save to My Lists
Entry Level Price:$0.75
  • Overview
    Expand/Collapse Overview
    • Product Description
    How are these determined?Information
    This description is provided by the seller.

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

    Users
    • Data Engineer
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 42% Mid-Market
    • 36% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
    • 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
    View All Pros and Cons
  • User Satisfaction
    Expand/Collapse User Satisfaction
    • Boomi Data Integration features and usability ratings that predict user satisfaction
    9.6
    Has the product been a good partner in doing business?
    Average: 9.0
    9.5
    Automation
    Average: 8.9
    9.3
    Scalability
    Average: 8.6
    8.8
    Auditing
    Average: 8.0
  • Seller Details
    Expand/Collapse Seller Details
    • Seller Details
    Seller
    Boomi
    Year Founded
    2000
    HQ Location
    Chesterbrook, PA
    Twitter
    @boomi
    101,559 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
View All Pros and Cons
Boomi Data Integration features and usability ratings that predict user satisfaction
9.6
Has the product been a good partner in doing business?
Average: 9.0
9.5
Automation
Average: 8.9
9.3
Scalability
Average: 8.6
8.8
Auditing
Average: 8.0
Seller Details
Seller
Boomi
Year Founded
2000
HQ Location
Chesterbrook, PA
Twitter
@boomi
101,559 Twitter followers
LinkedIn® Page
www.linkedin.com
2,824 employees on LinkedIn®
AWS Glue
(194)4.3 out of 5
View top Consulting Services for AWS Glue
Save to My Lists
  • Overview
    Expand/Collapse Overview
    • Product Description
    How are these determined?Information
    This description is provided by the seller.

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

    Users
    • Data Engineer
    • DevOps Engineer
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 48% Enterprise
    • 28% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
    • AWS Glue Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    4
    Simple
    3
    ETL Solutions
    2
    Features
    2
    Intuitive
    2
    Cons
    Access Control
    1
    Compatibility Issues
    1
    Complex Transformations
    1
    Connection Issues
    1
    Connectivity Issues
    1
    View All Pros and Cons
  • User Satisfaction
    Expand/Collapse User Satisfaction
    • AWS Glue features and usability ratings that predict user satisfaction
    8.8
    Has the product been a good partner in doing business?
    Average: 9.0
    8.7
    Automation
    Average: 8.9
    8.8
    Scalability
    Average: 8.6
    8.7
    Auditing
    Average: 8.0
  • Seller Details
    Expand/Collapse Seller Details
    • Seller Details
    Seller
    Amazon Web Services (AWS)
    Year Founded
    2006
    HQ Location
    Seattle, WA
    Twitter
    @awscloud
    2,217,439 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    143,584 employees on LinkedIn®
    Ownership
    NASDAQ: AMZN
Product Description
How are these determined?Information
This description is provided by the seller.

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

Users
  • Data Engineer
  • DevOps Engineer
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 48% Enterprise
  • 28% Mid-Market
AWS Glue Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
4
Simple
3
ETL Solutions
2
Features
2
Intuitive
2
Cons
Access Control
1
Compatibility Issues
1
Complex Transformations
1
Connection Issues
1
Connectivity Issues
1
View All Pros and Cons
AWS Glue features and usability ratings that predict user satisfaction
8.8
Has the product been a good partner in doing business?
Average: 9.0
8.7
Automation
Average: 8.9
8.8
Scalability
Average: 8.6
8.7
Auditing
Average: 8.0
Seller Details
Seller
Amazon Web Services (AWS)
Year Founded
2006
HQ Location
Seattle, WA
Twitter
@awscloud
2,217,439 Twitter followers
LinkedIn® Page
www.linkedin.com
143,584 employees on LinkedIn®
Ownership
NASDAQ: AMZN
Filters
Filter
Clear Filter
More Filters
Market Segments
All Segments
Small Business
Mid Market
Enterprise
Avg. Customer Review
Language
Pricing
Data Management Strategy
Sort by
Clear All
  • Segment
Clear Filter
More Filters
Market Segments
All Segments
Small Business
Mid Market
Enterprise
Avg. Customer Review
Language
Pricing
Data Management Strategy
Sort by
Clear All
241 Listings in ETL Tools Available
  • Sort By:
    G2 Score

ETL Tools Topics

Expand/Collapse

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.