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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.

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

(403)4.6 out of 5
Optimized for quick response
8th Easiest To Use in DataOps Platforms software
View top Consulting Services for Databricks Data Intelligence Platform
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  • 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 10,000 organizations worldwide — including Block, Comcast, Conde Nast, Rivian, and Shell, and over 60% of the Fortune 500 — rely on the Databricks Data

    Users
    • Data Engineer
    • Data Scientist
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 47% Enterprise
    • 34% Mid-Market
  • 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
    Ease of Use
    182
    Features
    165
    Integrations
    104
    Data Management
    91
    Easy Integrations
    88
    Cons
    Learning Curve
    55
    Missing Features
    52
    Steep Learning Curve
    52
    Expensive
    49
    Performance Issues
    36
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Databricks Data Intelligence Platform features and usability ratings that predict user satisfaction
    8.2
    Data Observability
    Average: 8.8
    8.2
    Testing capabilities
    Average: 8.6
    8.8
    Ease of Use
    Average: 9.2
    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
    1999
    HQ Location
    San Francisco, CA
    Twitter
    @databricks
    75,952 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    9,769 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 10,000 organizations worldwide — including Block, Comcast, Conde Nast, Rivian, and Shell, and over 60% of the Fortune 500 — rely on the Databricks Data

Users
  • Data Engineer
  • Data Scientist
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 47% Enterprise
  • 34% Mid-Market
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
Ease of Use
182
Features
165
Integrations
104
Data Management
91
Easy Integrations
88
Cons
Learning Curve
55
Missing Features
52
Steep Learning Curve
52
Expensive
49
Performance Issues
36
Databricks Data Intelligence Platform features and usability ratings that predict user satisfaction
8.2
Data Observability
Average: 8.8
8.2
Testing capabilities
Average: 8.6
8.8
Ease of Use
Average: 9.2
10.0
What is your organization's estimated ROI on the product (payback period in months)?
Average: 10
Seller Details
Company Website
Year Founded
1999
HQ Location
San Francisco, CA
Twitter
@databricks
75,952 Twitter followers
LinkedIn® Page
www.linkedin.com
9,769 employees on LinkedIn®
(356)4.4 out of 5
10th 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.

    As businesses increasingly rely on data to power digital products and drive better decision making, it’s mission-critical that this data is accurate and reliable. Monte Carlo’s Data Observability Plat

    Users
    • Data Engineer
    • Senior Data Engineer
    Industries
    • Financial Services
    • Information Technology and Services
    Market Segment
    • 47% Mid-Market
    • 47% Enterprise
  • 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
    150
    Monitoring
    121
    Alerts
    104
    Customer Support
    85
    Alerting System
    79
    Cons
    Alert Overload
    59
    Poor User Interface
    55
    Alert Management
    54
    Inefficient Alert System
    53
    Missing Features
    39
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Monte Carlo features and usability ratings that predict user satisfaction
    9.1
    Data Observability
    Average: 8.8
    7.5
    Testing capabilities
    Average: 8.6
    8.3
    Ease of Use
    Average: 9.2
    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
    1,555 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    400 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

As businesses increasingly rely on data to power digital products and drive better decision making, it’s mission-critical that this data is accurate and reliable. Monte Carlo’s Data Observability Plat

Users
  • Data Engineer
  • Senior Data Engineer
Industries
  • Financial Services
  • Information Technology and Services
Market Segment
  • 47% Mid-Market
  • 47% Enterprise
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
150
Monitoring
121
Alerts
104
Customer Support
85
Alerting System
79
Cons
Alert Overload
59
Poor User Interface
55
Alert Management
54
Inefficient Alert System
53
Missing Features
39
Monte Carlo features and usability ratings that predict user satisfaction
9.1
Data Observability
Average: 8.8
7.5
Testing capabilities
Average: 8.6
8.3
Ease of Use
Average: 9.2
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
1,555 Twitter followers
LinkedIn® Page
www.linkedin.com
400 employees on LinkedIn®

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(38)4.5 out of 5
Optimized for quick response
11th 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 provides a robust Data Observability platform for enterprise customers seeking a modern, scalable platform to improve data operations in the AI age and deliver trusted data. Our platform enc

    Users
    No information available
    Industries
    • Computer Software
    • Telecommunications
    Market Segment
    • 66% Enterprise
    • 24% 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
    Customer Support
    12
    Ease of Use
    12
    Features
    9
    Efficiency Improvement
    8
    Monitoring
    8
    Cons
    Poor User Interface
    7
    Poor UI
    5
    Poor Customer Support
    4
    Complex Usability
    3
    Limited Functionality
    3
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Acceldata features and usability ratings that predict user satisfaction
    9.4
    Data Observability
    Average: 8.8
    7.5
    Testing capabilities
    Average: 8.6
    8.6
    Ease of Use
    Average: 9.2
    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
    331 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    263 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Acceldata provides a robust Data Observability platform for enterprise customers seeking a modern, scalable platform to improve data operations in the AI age and deliver trusted data. Our platform enc

Users
No information available
Industries
  • Computer Software
  • Telecommunications
Market Segment
  • 66% Enterprise
  • 24% 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
Customer Support
12
Ease of Use
12
Features
9
Efficiency Improvement
8
Monitoring
8
Cons
Poor User Interface
7
Poor UI
5
Poor Customer Support
4
Complex Usability
3
Limited Functionality
3
Acceldata features and usability ratings that predict user satisfaction
9.4
Data Observability
Average: 8.8
7.5
Testing capabilities
Average: 8.6
8.6
Ease of Use
Average: 9.2
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
331 Twitter followers
LinkedIn® Page
www.linkedin.com
263 employees on LinkedIn®
(116)4.5 out of 5
Optimized for quick response
9th 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
    • Information Technology and Services
    Market Segment
    • 54% Mid-Market
    • 40% 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
    32
    User Interface
    25
    Features
    20
    Data Lineage
    19
    User Experience
    18
    Cons
    Limited Functionality
    11
    Missing Features
    11
    Lacking Features
    10
    Integration Issues
    7
    Data Lineage Issues
    6
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Atlan features and usability ratings that predict user satisfaction
    8.5
    Data Observability
    Average: 8.8
    7.4
    Testing capabilities
    Average: 8.6
    9.0
    Ease of Use
    Average: 9.2
    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
    9,421 Twitter followers
    LinkedIn® Page
    in.linkedin.com
    434 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
  • Information Technology and Services
Market Segment
  • 54% Mid-Market
  • 40% 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
32
User Interface
25
Features
20
Data Lineage
19
User Experience
18
Cons
Limited Functionality
11
Missing Features
11
Lacking Features
10
Integration Issues
7
Data Lineage Issues
6
Atlan features and usability ratings that predict user satisfaction
8.5
Data Observability
Average: 8.8
7.4
Testing capabilities
Average: 8.6
9.0
Ease of Use
Average: 9.2
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
9,421 Twitter followers
LinkedIn® Page
in.linkedin.com
434 employees on LinkedIn®
(105)4.6 out of 5
Optimized for quick response
4th 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
    • Computer Software
    Market Segment
    • 48% Mid-Market
    • 37% 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
    9
    Customer Support
    7
    Easy Setup
    7
    Deployment Ease
    6
    Implementation Ease
    6
    Cons
    Feature Limitations
    5
    Limited Features
    4
    Cloud Limitations
    3
    Lacking Features
    3
    Missing Features
    3
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Astro by Astronomer features and usability ratings that predict user satisfaction
    8.6
    Data Observability
    Average: 8.8
    8.3
    Testing capabilities
    Average: 8.6
    9.0
    Ease of Use
    Average: 9.2
    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
    5,566 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    320 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
  • Computer Software
Market Segment
  • 48% Mid-Market
  • 37% 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
9
Customer Support
7
Easy Setup
7
Deployment Ease
6
Implementation Ease
6
Cons
Feature Limitations
5
Limited Features
4
Cloud Limitations
3
Lacking Features
3
Missing Features
3
Astro by Astronomer features and usability ratings that predict user satisfaction
8.6
Data Observability
Average: 8.8
8.3
Testing capabilities
Average: 8.6
9.0
Ease of Use
Average: 9.2
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
5,566 Twitter followers
LinkedIn® Page
www.linkedin.com
320 employees on LinkedIn®
(159)4.8 out of 5
7th Easiest To Use in DataOps Platforms software
View top Consulting Services for dbt
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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
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 59% Mid-Market
    • 25% 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
    30
    Features
    23
    Transformation
    16
    Integrations
    13
    Analytics
    12
    Cons
    Feature Limitations
    13
    Missing Features
    12
    Limited Functionality
    10
    Learning Curve
    7
    Learning Difficulty
    7
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • dbt features and usability ratings that predict user satisfaction
    8.6
    Data Observability
    Average: 8.8
    8.9
    Testing capabilities
    Average: 8.6
    9.0
    Ease of Use
    Average: 9.2
    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
    dbt Labs
    Company Website
    Year Founded
    2016
    HQ Location
    Philadelphia, US
    Twitter
    @getdbt
    13,121 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    535 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
  • Computer Software
  • Information Technology and Services
Market Segment
  • 59% Mid-Market
  • 25% 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
30
Features
23
Transformation
16
Integrations
13
Analytics
12
Cons
Feature Limitations
13
Missing Features
12
Limited Functionality
10
Learning Curve
7
Learning Difficulty
7
dbt features and usability ratings that predict user satisfaction
8.6
Data Observability
Average: 8.8
8.9
Testing capabilities
Average: 8.6
9.0
Ease of Use
Average: 9.2
10.0
What is your organization's estimated ROI on the product (payback period in months)?
Average: 10
Seller Details
Seller
dbt Labs
Company Website
Year Founded
2016
HQ Location
Philadelphia, US
Twitter
@getdbt
13,121 Twitter followers
LinkedIn® Page
www.linkedin.com
535 employees on LinkedIn®
By IBM
(99)4.0 out of 5
Optimized for quick response
13th 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.

    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
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 47% Enterprise
    • 32% 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
    35
    Data Management
    29
    Data Pipelining
    23
    Integrations
    19
    Easy Integrations
    16
    Cons
    Limitations
    10
    Learning Curve
    9
    Feature Limitations
    8
    Connector Issues
    7
    Data Management
    7
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • IBM StreamSets features and usability ratings that predict user satisfaction
    6.7
    Data Observability
    Average: 8.8
    7.1
    Testing capabilities
    Average: 8.6
    8.5
    Ease of Use
    Average: 9.2
    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
    Company Website
    Year Founded
    1911
    HQ Location
    Armonk, NY
    Twitter
    @IBM
    711,154 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    317,108 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
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 47% Enterprise
  • 32% 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
35
Data Management
29
Data Pipelining
23
Integrations
19
Easy Integrations
16
Cons
Limitations
10
Learning Curve
9
Feature Limitations
8
Connector Issues
7
Data Management
7
IBM StreamSets features and usability ratings that predict user satisfaction
6.7
Data Observability
Average: 8.8
7.1
Testing capabilities
Average: 8.6
8.5
Ease of Use
Average: 9.2
10.0
What is your organization's estimated ROI on the product (payback period in months)?
Average: 10
Seller Details
Seller
IBM
Company Website
Year Founded
1911
HQ Location
Armonk, NY
Twitter
@IBM
711,154 Twitter followers
LinkedIn® Page
www.linkedin.com
317,108 employees on LinkedIn®
(337)4.5 out of 5
Optimized for quick response
5th 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
    24
    Integrations
    11
    Easy Integration
    9
    Easy Integrations
    9
    Easy Setup
    9
    Cons
    Feature Limitations
    6
    Expensive
    5
    Missing Features
    5
    Limitations
    4
    Confusing Changes
    3
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Census features and usability ratings that predict user satisfaction
    8.4
    Data Observability
    Average: 8.8
    8.6
    Testing capabilities
    Average: 8.6
    9.0
    Ease of Use
    Average: 9.2
    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
    Census
    Company Website
    Year Founded
    2018
    HQ Location
    San Francisco, US
    Twitter
    @census
    1,996 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    176 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
24
Integrations
11
Easy Integration
9
Easy Integrations
9
Easy Setup
9
Cons
Feature Limitations
6
Expensive
5
Missing Features
5
Limitations
4
Confusing Changes
3
Census features and usability ratings that predict user satisfaction
8.4
Data Observability
Average: 8.8
8.6
Testing capabilities
Average: 8.6
9.0
Ease of Use
Average: 9.2
10.0
What is your organization's estimated ROI on the product (payback period in months)?
Average: 10
Seller Details
Seller
Census
Company Website
Year Founded
2018
HQ Location
San Francisco, US
Twitter
@census
1,996 Twitter followers
LinkedIn® Page
www.linkedin.com
176 employees on LinkedIn®
(367)4.6 out of 5
2nd 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 that empowers companies to activate their data warehouse to power personalized marketing and business operations. Trusted by leading organizations like PetSmart

    Users
    • Data Engineer
    • Software Engineer
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 64% 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
    30
    Integrations
    16
    Platform Integration
    16
    Easy Setup
    14
    Customer Support
    12
    Cons
    Expensive
    10
    Sync Issues
    9
    Syncing Issues
    7
    Learning Curve
    6
    Missing Features
    5
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Hightouch features and usability ratings that predict user satisfaction
    8.4
    Data Observability
    Average: 8.8
    8.1
    Testing capabilities
    Average: 8.6
    9.2
    Ease of Use
    Average: 9.2
    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
    2,399 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    260 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Hightouch is the leading Composable CDP that empowers companies to activate their data warehouse to power personalized marketing and business operations. Trusted by leading organizations like PetSmart

Users
  • Data Engineer
  • Software Engineer
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 64% 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
30
Integrations
16
Platform Integration
16
Easy Setup
14
Customer Support
12
Cons
Expensive
10
Sync Issues
9
Syncing Issues
7
Learning Curve
6
Missing Features
5
Hightouch features and usability ratings that predict user satisfaction
8.4
Data Observability
Average: 8.8
8.1
Testing capabilities
Average: 8.6
9.2
Ease of Use
Average: 9.2
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
2,399 Twitter followers
LinkedIn® Page
www.linkedin.com
260 employees on LinkedIn®