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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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8 Listings in Enterprise DataOps Platforms Available

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    G2 Score
Databricks
(657)4.6 out of 5
Optimized for quick response
2nd Easiest To Use in DataOps Platforms software
View top Consulting Services for Databricks
  • Overview
    Expand/Collapse Overview
    • Product Description
    How are these determined?Information
    This description is provided by the seller.

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

    Users
    • Data Engineer
    • Data Analyst
    Industries
    • Information Technology and Services
    • Financial Services
    Market Segment
    • 46% Enterprise
    • 37% Mid-Market
    User Sentiment
    How are these determined?Information
    These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
    • Databricks Data Intelligence Platform is a unified data engineering platform for lakehouse architecture with cloud integration, designed to accommodate business and official data for detailed analytics and future growth planning.
    • Users frequently mention the platform's data governance capabilities, its support for machine learning applications, and its helpful autofilling features, as well as its seamless integration with other tools like Power BI for reporting.
    • Users mentioned challenges such as the complexity of fine-tuning the platform to specific business use cases, the need for a team of professionals to handle large data, and the financial investment involved in using the platform.
  • Pros and Cons
    Expand/Collapse Pros and Cons
    • Databricks Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Features
    277
    Ease of Use
    267
    Integrations
    184
    Collaboration
    148
    Easy Integrations
    144
    Cons
    Learning Curve
    106
    Expensive
    94
    Steep Learning Curve
    91
    Missing Features
    63
    Complexity
    61
    View All Pros and Cons
  • User Satisfaction
    Expand/Collapse User Satisfaction
    • Databricks features and usability ratings that predict user satisfaction
    8.6
    Data Observability
    Average: 8.9
    8.6
    Testing capabilities
    Average: 8.6
    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
    Seller
    Databricks Inc.
    Company Website
    Year Founded
    2013
    HQ Location
    San Francisco, CA
    Twitter
    @databricks
    87,182 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    13,825 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

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

Users
  • Data Engineer
  • Data Analyst
Industries
  • Information Technology and Services
  • Financial Services
Market Segment
  • 46% Enterprise
  • 37% Mid-Market
User Sentiment
How are these determined?Information
These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
  • Databricks Data Intelligence Platform is a unified data engineering platform for lakehouse architecture with cloud integration, designed to accommodate business and official data for detailed analytics and future growth planning.
  • Users frequently mention the platform's data governance capabilities, its support for machine learning applications, and its helpful autofilling features, as well as its seamless integration with other tools like Power BI for reporting.
  • Users mentioned challenges such as the complexity of fine-tuning the platform to specific business use cases, the need for a team of professionals to handle large data, and the financial investment involved in using the platform.
Databricks Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Features
277
Ease of Use
267
Integrations
184
Collaboration
148
Easy Integrations
144
Cons
Learning Curve
106
Expensive
94
Steep Learning Curve
91
Missing Features
63
Complexity
61
View All Pros and Cons
Databricks features and usability ratings that predict user satisfaction
8.6
Data Observability
Average: 8.9
8.6
Testing capabilities
Average: 8.6
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
Seller
Databricks Inc.
Company Website
Year Founded
2013
HQ Location
San Francisco, CA
Twitter
@databricks
87,182 Twitter followers
LinkedIn® Page
www.linkedin.com
13,825 employees on LinkedIn®
Monte Carlo
(487)4.3 out of 5
9th Easiest To Use in DataOps Platforms software
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
    • Computer Software
    Market Segment
    • 49% Enterprise
    • 44% 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
    165
    Monitoring
    144
    Alerts
    137
    Alerting System
    101
    Features
    91
    Cons
    Alert Management
    75
    Alert Overload
    75
    Inefficient Alert System
    65
    UX Improvement
    62
    Limited Functionality
    55
    View All Pros and Cons
  • User Satisfaction
    Expand/Collapse User Satisfaction
    • Monte Carlo features and usability ratings that predict user satisfaction
    9.2
    Data Observability
    Average: 8.9
    7.7
    Testing capabilities
    Average: 8.6
    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
    Seller
    Monte Carlo
    Company Website
    HQ Location
    San Francisco, US
    Twitter
    @montecarlodata
    1,587 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    576 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
  • Computer Software
Market Segment
  • 49% Enterprise
  • 44% 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
165
Monitoring
144
Alerts
137
Alerting System
101
Features
91
Cons
Alert Management
75
Alert Overload
75
Inefficient Alert System
65
UX Improvement
62
Limited Functionality
55
View All Pros and Cons
Monte Carlo features and usability ratings that predict user satisfaction
9.2
Data Observability
Average: 8.9
7.7
Testing capabilities
Average: 8.6
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
Seller
Monte Carlo
Company Website
HQ Location
San Francisco, US
Twitter
@montecarlodata
1,587 Twitter followers
LinkedIn® Page
www.linkedin.com
576 employees on LinkedIn®
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IBM StreamSets
(116)4.0 out of 5
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
    • 41% Enterprise
    • 34% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
    • IBM StreamSets Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    28
    User Interface
    15
    Data Management
    14
    Data Pipelining
    13
    Integrations
    13
    Cons
    Learning Curve
    12
    Expensive
    8
    Steep Learning Curve
    8
    Learning Difficulty
    7
    Poor Documentation
    7
    View All Pros and Cons
  • 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: 8.6
    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
    708,967 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
  • 41% Enterprise
  • 34% Mid-Market
IBM StreamSets Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
28
User Interface
15
Data Management
14
Data Pipelining
13
Integrations
13
Cons
Learning Curve
12
Expensive
8
Steep Learning Curve
8
Learning Difficulty
7
Poor Documentation
7
View All Pros and Cons
IBM StreamSets features and usability ratings that predict user satisfaction
6.7
Data Observability
Average: 8.9
6.9
Testing capabilities
Average: 8.6
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
708,967 Twitter followers
LinkedIn® Page
www.linkedin.com
339,241 employees on LinkedIn®
Ownership
SWX:IBM
Astro by Astronomer
(136)4.5 out of 5
Optimized for quick response
7th Easiest To Use in DataOps Platforms software
  • 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
    View All Pros and Cons
  • 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: 8.6
    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
    Astronomer
    Company Website
    Year Founded
    2018
    HQ Location
    New York, US
    Twitter
    @astronomerio
    19,894 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    4,648 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
View All Pros and Cons
Astro by Astronomer features and usability ratings that predict user satisfaction
8.2
Data Observability
Average: 8.9
8.0
Testing capabilities
Average: 8.6
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
Astronomer
Company Website
Year Founded
2018
HQ Location
New York, US
Twitter
@astronomerio
19,894 Twitter followers
LinkedIn® Page
www.linkedin.com
4,648 employees on LinkedIn®
Acceldata
(53)4.4 out of 5
Optimized for quick response
15th Easiest To Use in DataOps Platforms software
  • 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
    19
    Customer Support
    18
    Efficiency Improvement
    14
    Monitoring
    14
    Automation
    13
    Cons
    UX Improvement
    11
    Poor UI
    8
    Learning Difficulty
    7
    Complex Setup
    6
    Learning Curve
    6
    View All Pros and Cons
  • 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: 8.6
    8.5
    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
    338 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    271 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
19
Customer Support
18
Efficiency Improvement
14
Monitoring
14
Automation
13
Cons
UX Improvement
11
Poor UI
8
Learning Difficulty
7
Complex Setup
6
Learning Curve
6
View All Pros and Cons
Acceldata features and usability ratings that predict user satisfaction
9.5
Data Observability
Average: 8.9
7.6
Testing capabilities
Average: 8.6
8.5
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
338 Twitter followers
LinkedIn® Page
www.linkedin.com
271 employees on LinkedIn®
Atlan
(123)4.5 out of 5
Optimized for quick response
14th Easiest To Use in DataOps Platforms software
  • 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
    View All Pros and Cons
  • 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: 8.6
    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
    9,695 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
View All Pros and Cons
Atlan features and usability ratings that predict user satisfaction
8.5
Data Observability
Average: 8.9
7.4
Testing capabilities
Average: 8.6
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
9,695 Twitter followers
LinkedIn® Page
in.linkedin.com
580 employees on LinkedIn®
dbt
(197)4.7 out of 5
3rd Easiest To Use in DataOps Platforms software
View top Consulting Services for dbt
  • Overview
    Expand/Collapse Overview
    • Product Description
    How are these determined?Information
    This description is provided by the seller.

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

    Users
    • Analytics Engineer
    • Data Engineer
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 57% Mid-Market
    • 27% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
    • dbt Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    36
    Features
    21
    Automation
    18
    Transformation
    15
    Data Quality
    14
    Cons
    Limited Functionality
    12
    Dependency Issues
    9
    Error Handling
    9
    Steep Learning Curve
    9
    Error Reporting
    8
    View All Pros and Cons
  • 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: 8.6
    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
    Year Founded
    2012
    HQ Location
    Oakland, CA
    Twitter
    @fivetran
    5,706 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    1,738 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

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

Users
  • Analytics Engineer
  • Data Engineer
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 57% Mid-Market
  • 27% Small-Business
dbt Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
36
Features
21
Automation
18
Transformation
15
Data Quality
14
Cons
Limited Functionality
12
Dependency Issues
9
Error Handling
9
Steep Learning Curve
9
Error Reporting
8
View All Pros and Cons
dbt features and usability ratings that predict user satisfaction
8.7
Data Observability
Average: 8.9
8.9
Testing capabilities
Average: 8.6
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
Year Founded
2012
HQ Location
Oakland, CA
Twitter
@fivetran
5,706 Twitter followers
LinkedIn® Page
www.linkedin.com
1,738 employees on LinkedIn®
Hightouch
(382)4.6 out of 5
8th Easiest To Use in DataOps Platforms software
View top Consulting Services for Hightouch
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 data and Agentic Marketing Platform for modern marketing teams. Trusted by brands like Domino’s, Autotrader, cars.com, Superhuman (formerly Grammarly), and PetSmart, Hightouch

    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
    Integration Issues
    4
    Slow Performance
    4
    Syncing Issues
    4
    View All Pros and Cons
  • 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: 8.6
    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
    2,735 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    477 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Hightouch is the leading data and Agentic Marketing Platform for modern marketing teams. Trusted by brands like Domino’s, Autotrader, cars.com, Superhuman (formerly Grammarly), and PetSmart, Hightouch

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
Integration Issues
4
Slow Performance
4
Syncing Issues
4
View All Pros and Cons
Hightouch features and usability ratings that predict user satisfaction
8.4
Data Observability
Average: 8.9
8.1
Testing capabilities
Average: 8.6
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
2,735 Twitter followers
LinkedIn® Page
www.linkedin.com
477 employees on LinkedIn®
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Market Segments
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Small Business
Mid Market
Enterprise
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