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Best Enterprise DataOps Platforms

Shalaka Joshi
SJ
Researched and written by Shalaka Joshi

Products classified in the overall DataOps Platforms category are similar in many regards and help companies of all sizes solve their business problems. However, enterprise business features, pricing, setup, and installation differ from businesses of other sizes, which is why we match buyers to the right Enterprise Business DataOps Platforms to fit their needs. Compare product ratings based on reviews from enterprise users or connect with one of G2's buying advisors to find the right solutions within the Enterprise Business DataOps Platforms category.

In addition to qualifying for inclusion in the DataOps Platforms category, to qualify for inclusion in the Enterprise Business DataOps Platforms category, a product must have at least 10 reviews left by a reviewer from an enterprise business.

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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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9 Listings in Enterprise DataOps Platforms Available

(652)4.6 out of 5
Optimized for quick response
2nd Easiest To Use in DataOps Platforms software
View top Consulting Services for Databricks Data Intelligence Platform
Save to My Lists
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

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

    Users
    • Data Engineer
    • Data Analyst
    Industries
    • Information Technology and Services
    • Financial Services
    Market Segment
    • 46% Enterprise
    • 38% Mid-Market
    User Sentiment
    How are these determined?Information
    These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
    • Databricks Data Intelligence Platform is a unified environment for data engineering, analytics, and machine learning, designed to handle large data sets and manage security across multiple cloud environments.
    • Reviewers frequently mention the platform's ability to consolidate data engineering, analytics, and machine learning in one place, its support for multiple programming languages, and its seamless integration with major cloud providers.
    • Reviewers experienced challenges with the platform's steep learning curve, especially for those unfamiliar with Spark or distributed computing, and its cost structure which can become expensive for continuous workloads.
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Databricks Data Intelligence Platform Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Features
    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
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Databricks Data Intelligence Platform features and usability ratings that predict user satisfaction
    8.6
    Data Observability
    Average: 8.9
    8.6
    Testing capabilities
    Average: 8.5
    8.9
    Ease of Use
    Average: 9.1
    10.0
    What is your organization's estimated ROI on the product (payback period in months)?
    Average: 10
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    Year Founded
    2013
    HQ Location
    San Francisco, CA
    Twitter
    @databricks
    85,147 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    13,825 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

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

Users
  • Data Engineer
  • Data Analyst
Industries
  • Information Technology and Services
  • Financial Services
Market Segment
  • 46% Enterprise
  • 38% Mid-Market
User Sentiment
How are these determined?Information
These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
  • Databricks Data Intelligence Platform is a unified environment for data engineering, analytics, and machine learning, designed to handle large data sets and manage security across multiple cloud environments.
  • Reviewers frequently mention the platform's ability to consolidate data engineering, analytics, and machine learning in one place, its support for multiple programming languages, and its seamless integration with major cloud providers.
  • Reviewers experienced challenges with the platform's steep learning curve, especially for those unfamiliar with Spark or distributed computing, and its cost structure which can become expensive for continuous workloads.
Databricks Data Intelligence Platform Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Features
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
Databricks Data Intelligence Platform features and usability ratings that predict user satisfaction
8.6
Data Observability
Average: 8.9
8.6
Testing capabilities
Average: 8.5
8.9
Ease of Use
Average: 9.1
10.0
What is your organization's estimated ROI on the product (payback period in months)?
Average: 10
Seller Details
Company Website
Year Founded
2013
HQ Location
San Francisco, CA
Twitter
@databricks
85,147 Twitter followers
LinkedIn® Page
www.linkedin.com
13,825 employees on LinkedIn®
(469)4.4 out of 5
9th Easiest To Use in DataOps Platforms software
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.

    Monte Carlo, the data + AI observability leader, enables enterprise organizations to drive mission-critical initiatives with trusted foundations. Nasdaq, Honeywell, Roche, and hundreds of leading orga

    Users
    • Data Engineer
    • Senior Data Engineer
    Industries
    • Financial Services
    • Information Technology and Services
    Market Segment
    • 50% Enterprise
    • 45% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Monte Carlo 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
    140
    Monitoring
    129
    Alerts
    125
    Alerting System
    89
    Features
    80
    Cons
    Alert Management
    63
    Alert Overload
    63
    Inefficient Alert System
    57
    UX Improvement
    53
    Limited Features
    45
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Monte Carlo features and usability ratings that predict user satisfaction
    9.2
    Data Observability
    Average: 8.9
    7.6
    Testing capabilities
    Average: 8.5
    8.2
    Ease of Use
    Average: 9.1
    10.0
    What is your organization's estimated ROI on the product (payback period in months)?
    Average: 10
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    HQ Location
    San Francisco, US
    Twitter
    @montecarlodata
    1,591 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    542 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Monte Carlo, the data + AI observability leader, enables enterprise organizations to drive mission-critical initiatives with trusted foundations. Nasdaq, Honeywell, Roche, and hundreds of leading orga

Users
  • Data Engineer
  • Senior Data Engineer
Industries
  • Financial Services
  • Information Technology and Services
Market Segment
  • 50% Enterprise
  • 45% Mid-Market
Monte Carlo 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
140
Monitoring
129
Alerts
125
Alerting System
89
Features
80
Cons
Alert Management
63
Alert Overload
63
Inefficient Alert System
57
UX Improvement
53
Limited Features
45
Monte Carlo features and usability ratings that predict user satisfaction
9.2
Data Observability
Average: 8.9
7.6
Testing capabilities
Average: 8.5
8.2
Ease of Use
Average: 9.1
10.0
What is your organization's estimated ROI on the product (payback period in months)?
Average: 10
Seller Details
Company Website
HQ Location
San Francisco, US
Twitter
@montecarlodata
1,591 Twitter followers
LinkedIn® Page
www.linkedin.com
542 employees on LinkedIn®

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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
    • 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
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • IBM StreamSets features and usability ratings that predict user satisfaction
    6.7
    Data Observability
    Average: 8.9
    6.9
    Testing capabilities
    Average: 8.5
    8.4
    Ease of Use
    Average: 9.1
    10.0
    What is your organization's estimated ROI on the product (payback period in months)?
    Average: 10
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    IBM
    Year Founded
    1911
    HQ Location
    Armonk, NY
    Twitter
    @IBM
    708,845 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    339,241 employees on LinkedIn®
    Ownership
    SWX:IBM
Product Description
How are these determined?Information
This description is provided by the seller.

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

Users
  • Data Engineer
  • Software Engineer
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 42% Enterprise
  • 34% Mid-Market
IBM StreamSets Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
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
6.7
Data Observability
Average: 8.9
6.9
Testing capabilities
Average: 8.5
8.4
Ease of Use
Average: 9.1
10.0
What is your organization's estimated ROI on the product (payback period in months)?
Average: 10
Seller Details
Seller
IBM
Year Founded
1911
HQ Location
Armonk, NY
Twitter
@IBM
708,845 Twitter followers
LinkedIn® Page
www.linkedin.com
339,241 employees on LinkedIn®
Ownership
SWX:IBM
(136)4.5 out of 5
Optimized for quick response
7th Easiest To Use in DataOps Platforms software
Save to My Lists
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    For data teams looking to increase the availability of trusted data, Astronomer provides Astro, the modern data orchestration platform, powered by Airflow. Astro enables data engineers, data scientist

    Users
    • Data Engineer
    • Senior Data Engineer
    Industries
    • Information Technology and Services
    • Financial Services
    Market Segment
    • 47% Mid-Market
    • 38% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Astro by Astronomer 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
    25
    Efficiency Improvement
    14
    User Interface
    13
    Automation
    11
    Deployment Ease
    10
    Cons
    Expensive
    8
    Learning Difficulty
    8
    Learning Curve
    6
    Difficult Learning
    5
    Feature Limitations
    5
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Astro by Astronomer features and usability ratings that predict user satisfaction
    8.2
    Data Observability
    Average: 8.9
    8.0
    Testing capabilities
    Average: 8.5
    9.0
    Ease of Use
    Average: 9.1
    10.0
    What is your organization's estimated ROI on the product (payback period in months)?
    Average: 10
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    Year Founded
    2018
    HQ Location
    New York, US
    Twitter
    @astronomerio
    20,036 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    4,695 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

For data teams looking to increase the availability of trusted data, Astronomer provides Astro, the modern data orchestration platform, powered by Airflow. Astro enables data engineers, data scientist

Users
  • Data Engineer
  • Senior Data Engineer
Industries
  • Information Technology and Services
  • Financial Services
Market Segment
  • 47% Mid-Market
  • 38% Enterprise
Astro by Astronomer 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
25
Efficiency Improvement
14
User Interface
13
Automation
11
Deployment Ease
10
Cons
Expensive
8
Learning Difficulty
8
Learning Curve
6
Difficult Learning
5
Feature Limitations
5
Astro by Astronomer features and usability ratings that predict user satisfaction
8.2
Data Observability
Average: 8.9
8.0
Testing capabilities
Average: 8.5
9.0
Ease of Use
Average: 9.1
10.0
What is your organization's estimated ROI on the product (payback period in months)?
Average: 10
Seller Details
Company Website
Year Founded
2018
HQ Location
New York, US
Twitter
@astronomerio
20,036 Twitter followers
LinkedIn® Page
www.linkedin.com
4,695 employees on LinkedIn®
(52)4.4 out of 5
Optimized for quick response
15th Easiest To Use in DataOps Platforms software
Save to My Lists
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Acceldata is a pioneering provider of enterprise solutions in data observability and Agentic Data Management. Its technology enables organizations to monitor, manage, and improve the reliability, qual

    Users
    No information available
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 62% Enterprise
    • 21% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Acceldata 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
    17
    Customer Support
    14
    Efficiency Improvement
    13
    Automation
    12
    Product Usefulness
    12
    Cons
    UX Improvement
    10
    Poor UI
    7
    Complex Setup
    6
    Learning Difficulty
    6
    Difficult Setup
    5
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Acceldata features and usability ratings that predict user satisfaction
    9.5
    Data Observability
    Average: 8.9
    7.6
    Testing capabilities
    Average: 8.5
    8.4
    Ease of Use
    Average: 9.1
    10.0
    What is your organization's estimated ROI on the product (payback period in months)?
    Average: 10
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Acceldata
    Company Website
    Year Founded
    2018
    HQ Location
    Campbell, CA
    Twitter
    @acceldataio
    337 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    73 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Acceldata is a pioneering provider of enterprise solutions in data observability and Agentic Data Management. Its technology enables organizations to monitor, manage, and improve the reliability, qual

Users
No information available
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 62% Enterprise
  • 21% Mid-Market
Acceldata 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
17
Customer Support
14
Efficiency Improvement
13
Automation
12
Product Usefulness
12
Cons
UX Improvement
10
Poor UI
7
Complex Setup
6
Learning Difficulty
6
Difficult Setup
5
Acceldata features and usability ratings that predict user satisfaction
9.5
Data Observability
Average: 8.9
7.6
Testing capabilities
Average: 8.5
8.4
Ease of Use
Average: 9.1
10.0
What is your organization's estimated ROI on the product (payback period in months)?
Average: 10
Seller Details
Seller
Acceldata
Company Website
Year Founded
2018
HQ Location
Campbell, CA
Twitter
@acceldataio
337 Twitter followers
LinkedIn® Page
www.linkedin.com
73 employees on LinkedIn®
(122)4.5 out of 5
Optimized for quick response
14th Easiest To Use in DataOps Platforms software
Save to My Lists
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Built by a data team, for data teams, Atlan is THE Active Metadata platform for enterprises to find, trust, and govern AI-ready data, and a leader in The Forrester Wave™: Enterprise Data Catalogs, Q3

    Users
    No information available
    Industries
    • Financial Services
    • Computer Software
    Market Segment
    • 53% Mid-Market
    • 39% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Atlan 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
    26
    Features
    18
    User Interface
    17
    Data Lineage
    14
    Easy Setup
    13
    Cons
    Limited Functionality
    8
    Lacking Features
    6
    Learning Curve
    6
    Missing Features
    6
    Data Lineage Issues
    5
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Atlan features and usability ratings that predict user satisfaction
    8.5
    Data Observability
    Average: 8.9
    7.4
    Testing capabilities
    Average: 8.5
    9.0
    Ease of Use
    Average: 9.1
    10.0
    What is your organization's estimated ROI on the product (payback period in months)?
    Average: 10
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Atlan
    Company Website
    Year Founded
    2019
    HQ Location
    New York, US
    Twitter
    @AtlanHQ
    9,600 Twitter followers
    LinkedIn® Page
    in.linkedin.com
    580 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Built by a data team, for data teams, Atlan is THE Active Metadata platform for enterprises to find, trust, and govern AI-ready data, and a leader in The Forrester Wave™: Enterprise Data Catalogs, Q3

Users
No information available
Industries
  • Financial Services
  • Computer Software
Market Segment
  • 53% Mid-Market
  • 39% Enterprise
Atlan 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
26
Features
18
User Interface
17
Data Lineage
14
Easy Setup
13
Cons
Limited Functionality
8
Lacking Features
6
Learning Curve
6
Missing Features
6
Data Lineage Issues
5
Atlan features and usability ratings that predict user satisfaction
8.5
Data Observability
Average: 8.9
7.4
Testing capabilities
Average: 8.5
9.0
Ease of Use
Average: 9.1
10.0
What is your organization's estimated ROI on the product (payback period in months)?
Average: 10
Seller Details
Seller
Atlan
Company Website
Year Founded
2019
HQ Location
New York, US
Twitter
@AtlanHQ
9,600 Twitter followers
LinkedIn® Page
in.linkedin.com
580 employees on LinkedIn®
(195)4.7 out of 5
3rd Easiest To Use in DataOps Platforms software
View top Consulting Services for dbt
Save to My Lists
  • 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
    • Data Engineer
    • Analytics Engineer
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 57% Mid-Market
    • 27% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • dbt Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    28
    Features
    14
    Automation
    13
    Data Quality
    13
    Transformation
    13
    Cons
    Limited Functionality
    8
    Complex Setup
    7
    Error Handling
    7
    Error Reporting
    6
    Feature Limitations
    6
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • dbt features and usability ratings that predict user satisfaction
    8.7
    Data Observability
    Average: 8.9
    8.9
    Testing capabilities
    Average: 8.5
    9.0
    Ease of Use
    Average: 9.1
    10.0
    What is your organization's estimated ROI on the product (payback period in months)?
    Average: 10
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Fivetran
    Company Website
    Year Founded
    2012
    HQ Location
    Oakland, CA
    Twitter
    @fivetran
    5,691 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    1,682 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

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

Users
  • Data Engineer
  • Analytics Engineer
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 57% Mid-Market
  • 27% Small-Business
dbt Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
28
Features
14
Automation
13
Data Quality
13
Transformation
13
Cons
Limited Functionality
8
Complex Setup
7
Error Handling
7
Error Reporting
6
Feature Limitations
6
dbt features and usability ratings that predict user satisfaction
8.7
Data Observability
Average: 8.9
8.9
Testing capabilities
Average: 8.5
9.0
Ease of Use
Average: 9.1
10.0
What is your organization's estimated ROI on the product (payback period in months)?
Average: 10
Seller Details
Seller
Fivetran
Company Website
Year Founded
2012
HQ Location
Oakland, CA
Twitter
@fivetran
5,691 Twitter followers
LinkedIn® Page
www.linkedin.com
1,682 employees on LinkedIn®
(339)4.5 out of 5
Optimized for quick response
10th Easiest To Use in DataOps Platforms software
View top Consulting Services for Census
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.

    Census is the first Universal Data Platform that brings data transformation, activation, and governance into one collaborative workspace. Leading enterprises including HubSpot, Activision, Canva, Oran

    Users
    • Data Analyst
    • Analytics Engineer
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 62% Mid-Market
    • 24% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Census Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    15
    Integrations
    9
    Easy Setup
    7
    Implementation Ease
    6
    Simple
    6
    Cons
    Feature Limitations
    5
    Missing Features
    4
    Expensive
    3
    Limitations
    3
    Limited Features
    3
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Census features and usability ratings that predict user satisfaction
    8.4
    Data Observability
    Average: 8.9
    8.6
    Testing capabilities
    Average: 8.5
    9.0
    Ease of Use
    Average: 9.1
    10.0
    What is your organization's estimated ROI on the product (payback period in months)?
    Average: 10
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Fivetran
    Company Website
    Year Founded
    2012
    HQ Location
    Oakland, CA
    Twitter
    @fivetran
    5,691 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    1,682 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Census is the first Universal Data Platform that brings data transformation, activation, and governance into one collaborative workspace. Leading enterprises including HubSpot, Activision, Canva, Oran

Users
  • Data Analyst
  • Analytics Engineer
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 62% Mid-Market
  • 24% Small-Business
Census Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
15
Integrations
9
Easy Setup
7
Implementation Ease
6
Simple
6
Cons
Feature Limitations
5
Missing Features
4
Expensive
3
Limitations
3
Limited Features
3
Census features and usability ratings that predict user satisfaction
8.4
Data Observability
Average: 8.9
8.6
Testing capabilities
Average: 8.5
9.0
Ease of Use
Average: 9.1
10.0
What is your organization's estimated ROI on the product (payback period in months)?
Average: 10
Seller Details
Seller
Fivetran
Company Website
Year Founded
2012
HQ Location
Oakland, CA
Twitter
@fivetran
5,691 Twitter followers
LinkedIn® Page
www.linkedin.com
1,682 employees on LinkedIn®
(380)4.6 out of 5
8th Easiest To Use in DataOps Platforms software
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Entry Level Price:Free
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Hightouch is the leading Composable CDP and AI Agent platform that empowers companies to activate their data warehouse to power personalized marketing and business operations. Trusted by leading organ

    Users
    • Data Engineer
    • Software Engineer
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 63% Mid-Market
    • 25% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Hightouch 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
    14
    Easy Integration
    10
    Data Synchronization
    9
    Integrations
    9
    Platform Integration
    9
    Cons
    Expensive
    6
    Pricing Issues
    5
    Syncing Issues
    5
    Sync Issues
    5
    Integration Issues
    4
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Hightouch features and usability ratings that predict user satisfaction
    8.4
    Data Observability
    Average: 8.9
    8.1
    Testing capabilities
    Average: 8.5
    9.2
    Ease of Use
    Average: 9.1
    10.0
    What is your organization's estimated ROI on the product (payback period in months)?
    Average: 10
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Hightouch
    Company Website
    Year Founded
    2021
    HQ Location
    San Francisco, US
    Twitter
    @HightouchData
    2,706 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    436 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Hightouch is the leading Composable CDP and AI Agent platform that empowers companies to activate their data warehouse to power personalized marketing and business operations. Trusted by leading organ

Users
  • Data Engineer
  • Software Engineer
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 63% Mid-Market
  • 25% Small-Business
Hightouch 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
14
Easy Integration
10
Data Synchronization
9
Integrations
9
Platform Integration
9
Cons
Expensive
6
Pricing Issues
5
Syncing Issues
5
Sync Issues
5
Integration Issues
4
Hightouch features and usability ratings that predict user satisfaction
8.4
Data Observability
Average: 8.9
8.1
Testing capabilities
Average: 8.5
9.2
Ease of Use
Average: 9.1
10.0
What is your organization's estimated ROI on the product (payback period in months)?
Average: 10
Seller Details
Seller
Hightouch
Company Website
Year Founded
2021
HQ Location
San Francisco, US
Twitter
@HightouchData
2,706 Twitter followers
LinkedIn® Page
www.linkedin.com
436 employees on LinkedIn®