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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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241 Listings in ETL Tools Available
(1,200)4.5 out of 5
9th 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
    147
    Speed
    116
    Scalability
    102
    Query Efficiency
    101
    Integrations
    99
    Cons
    Expensive
    108
    Query Issues
    65
    Learning Curve
    53
    Cost Management
    47
    Cost Issues
    43
  • 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: 8.7
    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
    31,716,915 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    311,319 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
147
Speed
116
Scalability
102
Query Efficiency
101
Integrations
99
Cons
Expensive
108
Query Issues
65
Learning Curve
53
Cost Management
47
Cost Issues
43
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: 8.7
8.3
Auditing
Average: 8.1
Seller Details
Seller
Google
Company Website
Year Founded
1998
HQ Location
Mountain View, CA
Twitter
@google
31,716,915 Twitter followers
LinkedIn® Page
www.linkedin.com
311,319 employees on LinkedIn®
(626)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 is a unified platform for data engineering, analytics, and machine learning, designed to manage large-scale data and build advanced AI models.
    • Reviewers appreciate the platform's ability to consolidate data engineering, analytics, and machine learning into one place, enabling efficient collaboration across teams and seamless management of large data sets.
    • Users reported that Databricks can be complex to set up and manage, particularly for teams without strong data engineering expertise, and the cost structure 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
    265
    Ease of Use
    254
    Integrations
    178
    Collaboration
    142
    Easy Integrations
    139
    Cons
    Learning Curve
    100
    Expensive
    86
    Steep Learning Curve
    86
    Missing Features
    62
    UX Improvement
    58
  • 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: 8.7
    8.5
    Auditing
    Average: 8.1
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    Year Founded
    1999
    HQ Location
    San Francisco, CA
    Twitter
    @databricks
    83,692 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    12,736 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 is a unified platform for data engineering, analytics, and machine learning, designed to manage large-scale data and build advanced AI models.
  • Reviewers appreciate the platform's ability to consolidate data engineering, analytics, and machine learning into one place, enabling efficient collaboration across teams and seamless management of large data sets.
  • Users reported that Databricks can be complex to set up and manage, particularly for teams without strong data engineering expertise, and the cost structure 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
265
Ease of Use
254
Integrations
178
Collaboration
142
Easy Integrations
139
Cons
Learning Curve
100
Expensive
86
Steep Learning Curve
86
Missing Features
62
UX Improvement
58
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: 8.7
8.5
Auditing
Average: 8.1
Seller Details
Company Website
Year Founded
1999
HQ Location
San Francisco, CA
Twitter
@databricks
83,692 Twitter followers
LinkedIn® Page
www.linkedin.com
12,736 employees on LinkedIn®

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(938)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, simplifies reporting, and provides visual insights through intuitive dashboards.
    • Reviewers like the ease of use, the ability to connect multiple data sources, the user-friendly interface, and the wide range of features that Domo offers.
    • Users mentioned issues with the new consumption model, limitations with complex data transformations, difficulties with large datasets, and outdated training resources.
  • 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
    200
    Data Visualization
    95
    Easy Integrations
    78
    Integrations
    76
    Intuitive
    75
    Cons
    Learning Curve
    57
    Missing Features
    47
    Data Management Issues
    41
    Expensive
    36
    Limited Customization
    32
  • 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
    7.8
    Scalability
    Average: 8.7
    7.3
    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
    64,190 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    1,307 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, simplifies reporting, and provides visual insights through intuitive dashboards.
  • Reviewers like the ease of use, the ability to connect multiple data sources, the user-friendly interface, and the wide range of features that Domo offers.
  • Users mentioned issues with the new consumption model, limitations with complex data transformations, difficulties with large datasets, and outdated training resources.
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
200
Data Visualization
95
Easy Integrations
78
Integrations
76
Intuitive
75
Cons
Learning Curve
57
Missing Features
47
Data Management Issues
41
Expensive
36
Limited Customization
32
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
7.8
Scalability
Average: 8.7
7.3
Auditing
Average: 8.1
Seller Details
Seller
Domo
Company Website
Year Founded
2010
HQ Location
American Fork, UT
Twitter
@Domotalk
64,190 Twitter followers
LinkedIn® Page
www.linkedin.com
1,307 employees on LinkedIn®
(658)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
    • 44% Mid-Market
    • 36% 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 platform that allows users to automate workflows and connect various systems without heavy coding.
    • Reviewers appreciate Workato's user-friendly interface, its ability to streamline complex workflows, and its robust customer support that provides quick and knowledgeable assistance.
    • Users experienced a steep learning curve, especially for advanced features, and found that the pricing can add up for high-volume processes, and the platform's performance can dip slightly when dealing with very large data volumes.
  • 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
    268
    Integrations
    176
    Easy Integrations
    167
    Automation
    141
    Customer Support
    133
    Cons
    Expensive
    57
    Data Limitations
    53
    Complexity
    50
    Learning Curve
    47
    Missing Features
    45
  • 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: 8.7
    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
    3,555 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    1,245 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
  • 44% Mid-Market
  • 36% 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 platform that allows users to automate workflows and connect various systems without heavy coding.
  • Reviewers appreciate Workato's user-friendly interface, its ability to streamline complex workflows, and its robust customer support that provides quick and knowledgeable assistance.
  • Users experienced a steep learning curve, especially for advanced features, and found that the pricing can add up for high-volume processes, and the platform's performance can dip slightly when dealing with very large data volumes.
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
268
Integrations
176
Easy Integrations
167
Automation
141
Customer Support
133
Cons
Expensive
57
Data Limitations
53
Complexity
50
Learning Curve
47
Missing Features
45
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: 8.7
8.3
Auditing
Average: 8.1
Seller Details
Seller
Workato
Company Website
Year Founded
2013
HQ Location
Mountain View, California
Twitter
@Workato
3,555 Twitter followers
LinkedIn® Page
www.linkedin.com
1,245 employees on LinkedIn®
(371)4.3 out of 5
Optimized for quick response
11th 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
    • 49% 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
    62
    Easy Integrations
    55
    User Interface
    42
    Integrations
    35
    Automation
    29
    Cons
    Performance Issues
    22
    Poor Performance
    20
    Error Reporting
    14
    Learning Curve
    14
    Technical Difficulties
    14
  • 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: 8.7
    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
    7,399 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    365 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
  • 49% 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
62
Easy Integrations
55
User Interface
42
Integrations
35
Automation
29
Cons
Performance Issues
22
Poor Performance
20
Error Reporting
14
Learning Curve
14
Technical Difficulties
14
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: 8.7
8.1
Auditing
Average: 8.1
Seller Details
Seller
SnapLogic
Company Website
Year Founded
2006
HQ Location
San Mateo, CA
Twitter
@SnapLogic
7,399 Twitter followers
LinkedIn® Page
www.linkedin.com
365 employees on LinkedIn®
(663)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
    • 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 simplifies complex data tasks with a drag-and-drop interface, allowing users to prepare, blend, and analyze data without writing code.
    • Reviewers like Alteryx's wide range of connectors and pre-built tools that save time and make it easy to handle everything from basic data cleaning to advanced analytics, and its visual workflow design that aids transparency and collaboration across teams.
    • Reviewers mentioned that Alteryx can be expensive, especially for smaller organizations or individual users, and some advanced features have a steep learning curve, with performance sometimes lagging when working with very large datasets unless optimized carefully.
  • 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
  • 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
    26,405 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    2,282 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 simplifies complex data tasks with a drag-and-drop interface, allowing users to prepare, blend, and analyze data without writing code.
  • Reviewers like Alteryx's wide range of connectors and pre-built tools that save time and make it easy to handle everything from basic data cleaning to advanced analytics, and its visual workflow design that aids transparency and collaboration across teams.
  • Reviewers mentioned that Alteryx can be expensive, especially for smaller organizations or individual users, and some advanced features have a steep learning curve, with performance sometimes lagging when working with very large datasets unless optimized carefully.
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
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
26,405 Twitter followers
LinkedIn® Page
www.linkedin.com
2,282 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
    50
    Customer Support
    41
    Features
    25
    Integrations
    18
    User Interface
    17
    Cons
    Feature Limitations
    5
    Steep Learning Curve
    4
    Learning Curve
    3
    Complex Setup
    2
    Difficult Setup
    2
  • 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: 8.7
    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
50
Customer Support
41
Features
25
Integrations
18
User Interface
17
Cons
Feature Limitations
5
Steep Learning Curve
4
Learning Curve
3
Complex Setup
2
Difficult Setup
2
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: 8.7
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®
(445)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
    41
    Easy Integrations
    26
    Connectors Quantity
    24
    Easy Setup
    24
    Connectors Variety
    22
    Cons
    Expensive
    26
    Pricing Issues
    15
    Limited Connectors
    10
    Data Limitations
    9
    Faulty Connectors
    8
  • 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
    8.8
    Automation
    Average: 8.9
    8.5
    Scalability
    Average: 8.7
    7.0
    Auditing
    Average: 8.1
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Fivetran
    Company Website
    Year Founded
    2012
    HQ Location
    Oakland, CA
    Twitter
    @fivetran
    5,678 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
41
Easy Integrations
26
Connectors Quantity
24
Easy Setup
24
Connectors Variety
22
Cons
Expensive
26
Pricing Issues
15
Limited Connectors
10
Data Limitations
9
Faulty Connectors
8
Fivetran features and usability ratings that predict user satisfaction
8.3
Has the product been a good partner in doing business?
Average: 9.0
8.8
Automation
Average: 8.9
8.5
Scalability
Average: 8.7
7.0
Auditing
Average: 8.1
Seller Details
Seller
Fivetran
Company Website
Year Founded
2012
HQ Location
Oakland, CA
Twitter
@fivetran
5,678 Twitter followers
LinkedIn® Page
www.linkedin.com
1,682 employees on LinkedIn®
(87)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 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
    4
    Data Integration
    4
    Simple
    4
    User Interface
    4
    Cons
    Feature Limitations
    4
    Connectivity Issues
    2
    Data Limitations
    2
    Logging Issues
    2
    Query Issues
    2
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Azure Data Factory features and usability ratings that predict user satisfaction
    9.3
    Has the product been a good partner in doing business?
    Average: 9.0
    9.1
    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
    13,263,534 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
4
Data Integration
4
Simple
4
User Interface
4
Cons
Feature Limitations
4
Connectivity Issues
2
Data Limitations
2
Logging Issues
2
Query Issues
2
Azure Data Factory features and usability ratings that predict user satisfaction
9.3
Has the product been a good partner in doing business?
Average: 9.0
9.1
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
13,263,534 Twitter followers
LinkedIn® Page
www.linkedin.com
220,934 employees on LinkedIn®
Ownership
MSFT
  • Overview
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  • 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
    • 98% 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
  • 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: 8.7
    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
    75 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
  • 98% 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
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: 8.7
8.6
Auditing
Average: 8.1
Seller Details
Company Website
Year Founded
2017
HQ Location
Prague, CZ
Twitter
@boostspace
75 Twitter followers
LinkedIn® Page
www.linkedin.com
28 employees on LinkedIn®
(93)4.3 out of 5
Optimized for quick response
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  • Overview
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  • 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
    29
    Features
    20
    Analytics
    18
    Data Management
    17
    Flexibility
    16
    Cons
    Learning Curve
    22
    Expensive
    15
    Complexity
    10
    Difficulty
    10
    Integration Issues
    9
  • 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: 8.7
    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
    710,904 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    322,159 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
29
Features
20
Analytics
18
Data Management
17
Flexibility
16
Cons
Learning Curve
22
Expensive
15
Complexity
10
Difficulty
10
Integration Issues
9
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: 8.7
3.3
Auditing
Average: 8.1
Seller Details
Seller
IBM
Company Website
Year Founded
1911
HQ Location
Armonk, NY
Twitter
@IBM
710,904 Twitter followers
LinkedIn® Page
www.linkedin.com
322,159 employees on LinkedIn®
(462)4.6 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
    107
    Ease of Use
    72
    Helpful
    51
    Features
    49
    Analytics
    42
    Cons
    Poor UI
    24
    Limited Features
    22
    Poor Interface Design
    22
    Data Limitations
    18
    Lack of Information
    18
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Singular features and usability ratings that predict user satisfaction
    9.2
    Has the product been a good partner in doing business?
    Average: 9.0
    8.9
    Automation
    Average: 8.9
    8.9
    Scalability
    Average: 8.7
    8.3
    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
    1,267 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
  • 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
107
Ease of Use
72
Helpful
51
Features
49
Analytics
42
Cons
Poor UI
24
Limited Features
22
Poor Interface Design
22
Data Limitations
18
Lack of Information
18
Singular features and usability ratings that predict user satisfaction
9.2
Has the product been a good partner in doing business?
Average: 9.0
8.9
Automation
Average: 8.9
8.9
Scalability
Average: 8.7
8.3
Auditing
Average: 8.1
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®
(114)4.0 out of 5
Optimized for quick response
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Entry Level Price:Contact Us
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

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

    Users
    • Data Engineer
    • Software Engineer
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 42% Enterprise
    • 33% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • IBM StreamSets Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    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
  • 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
    7.7
    Automation
    Average: 8.9
    7.5
    Scalability
    Average: 8.7
    7.2
    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
    710,904 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    322,159 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
  • 33% Mid-Market
IBM StreamSets Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
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
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
7.7
Automation
Average: 8.9
7.5
Scalability
Average: 8.7
7.2
Auditing
Average: 8.1
Seller Details
Seller
IBM
Company Website
Year Founded
1911
HQ Location
Armonk, NY
Twitter
@IBM
710,904 Twitter followers
LinkedIn® Page
www.linkedin.com
322,159 employees on LinkedIn®
(120)4.7 out of 5
15th Easiest To Use in ETL Tools software
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Entry Level Price:$0.75
  • Overview
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  • 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: 9.0
    9.5
    Automation
    Average: 8.9
    9.3
    Scalability
    Average: 8.7
    8.8
    Auditing
    Average: 8.1
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Boomi
    Year Founded
    2000
    HQ Location
    Chesterbrook, PA
    Twitter
    @boomi
    101,610 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: 9.0
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
101,610 Twitter followers
LinkedIn® Page
www.linkedin.com
2,824 employees on LinkedIn®
(187)4.7 out of 5
13th 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
    • 58% Mid-Market
    • 26% 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
    20
    Transformation
    11
    Automation
    10
    Features
    10
    Documentation
    9
    Cons
    Complex Setup
    6
    Steep Learning Curve
    6
    Dependency Issues
    4
    Error Handling
    4
    Learning Curve
    4
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • dbt features and usability ratings that predict user satisfaction
    8.8
    Has the product been a good partner in doing business?
    Average: 9.0
    9.4
    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
    5,678 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
  • 58% Mid-Market
  • 26% 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
20
Transformation
11
Automation
10
Features
10
Documentation
9
Cons
Complex Setup
6
Steep Learning Curve
6
Dependency Issues
4
Error Handling
4
Learning Curve
4
dbt features and usability ratings that predict user satisfaction
8.8
Has the product been a good partner in doing business?
Average: 9.0
9.4
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
5,678 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.