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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

(626)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 Block, Comcast, Condé Nast, Rivian, Shell and over 60% of the Fortune 500 — rely on the Databricks Data Inte

    Users
    • Data Engineer
    • Data Scientist
    Industries
    • Information Technology and Services
    • Financial Services
    Market Segment
    • 46% Enterprise
    • 37% Mid-Market
    User Sentiment
    How are these determined?Information
    These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
    • Databricks Data Intelligence Platform is a unified analytics platform that combines data engineering, analytics, governance, and machine learning capabilities for efficient data processing and management.
    • Users frequently mention the platform's seamless integration of various data tasks, its collaborative environment, and its ability to handle large-scale data efficiently, making it a powerful tool for data-driven teams.
    • Reviewers experienced a steep learning curve, especially for those unfamiliar with Spark or distributed computing, and found the cost structure to be potentially expensive for continuous workloads.
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Databricks Data Intelligence Platform Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Features
    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
    8.5
    Data Observability
    Average: 8.9
    8.5
    Testing capabilities
    Average: 8.5
    8.8
    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
    1999
    HQ Location
    San Francisco, CA
    Twitter
    @databricks
    83,849 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    13,680 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including Block, Comcast, Condé Nast, Rivian, Shell and over 60% of the Fortune 500 — rely on the Databricks Data Inte

Users
  • Data Engineer
  • Data Scientist
Industries
  • Information Technology and Services
  • Financial Services
Market Segment
  • 46% Enterprise
  • 37% Mid-Market
User Sentiment
How are these determined?Information
These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
  • Databricks Data Intelligence Platform is a unified analytics platform that combines data engineering, analytics, governance, and machine learning capabilities for efficient data processing and management.
  • Users frequently mention the platform's seamless integration of various data tasks, its collaborative environment, and its ability to handle large-scale data efficiently, making it a powerful tool for data-driven teams.
  • Reviewers experienced a steep learning curve, especially for those unfamiliar with Spark or distributed computing, and found the cost structure to be potentially expensive for continuous workloads.
Databricks Data Intelligence Platform Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Features
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
8.5
Data Observability
Average: 8.9
8.5
Testing capabilities
Average: 8.5
8.8
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
1999
HQ Location
San Francisco, CA
Twitter
@databricks
83,849 Twitter followers
LinkedIn® Page
www.linkedin.com
13,680 employees on LinkedIn®
(435)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.

    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
    • 51% 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
    139
    Monitoring
    129
    Alerts
    125
    Alerting System
    88
    Features
    80
    Cons
    Alert Management
    63
    Alert Overload
    63
    Inefficient Alert System
    57
    UX Improvement
    54
    Limited Features
    45
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Monte Carlo features and usability ratings that predict user satisfaction
    9.1
    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
    1,593 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
  • Computer Software
Market Segment
  • 51% 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
139
Monitoring
129
Alerts
125
Alerting System
88
Features
80
Cons
Alert Management
63
Alert Overload
63
Inefficient Alert System
57
UX Improvement
54
Limited Features
45
Monte Carlo features and usability ratings that predict user satisfaction
9.1
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
1,593 Twitter followers
LinkedIn® Page
www.linkedin.com
542 employees on LinkedIn®

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(114)4.0 out of 5
Optimized for quick response
Save to My Lists
Entry Level Price:Contact Us
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

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

    Users
    • Data Engineer
    • Software Engineer
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 42% Enterprise
    • 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
    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
    Company Website
    Year Founded
    1911
    HQ Location
    Armonk, NY
    Twitter
    @IBM
    709,117 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    339,241 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

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

Users
  • Data Engineer
  • Software Engineer
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 42% Enterprise
  • 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
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
Company Website
Year Founded
1911
HQ Location
Armonk, NY
Twitter
@IBM
709,117 Twitter followers
LinkedIn® Page
www.linkedin.com
339,241 employees on LinkedIn®
(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
    24
    Efficiency Improvement
    14
    User Interface
    12
    Automation
    10
    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
    20,133 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    4,712 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
24
Efficiency Improvement
14
User Interface
12
Automation
10
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
20,133 Twitter followers
LinkedIn® Page
www.linkedin.com
4,712 employees on LinkedIn®
(49)4.4 out of 5
Optimized for quick response
12th 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
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 61% Enterprise
    • 20% 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
    15
    Customer Support
    12
    Automation
    10
    Data Management
    10
    Efficiency Improvement
    10
    Cons
    Poor UI
    7
    UX Improvement
    7
    Learning Difficulty
    6
    Complex Setup
    5
    Difficult Setup
    5
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Acceldata features and usability ratings that predict user satisfaction
    9.4
    Data Observability
    Average: 8.9
    7.6
    Testing capabilities
    Average: 8.5
    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
    339 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
  • Information Technology and Services
  • Computer Software
Market Segment
  • 61% Enterprise
  • 20% 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
15
Customer Support
12
Automation
10
Data Management
10
Efficiency Improvement
10
Cons
Poor UI
7
UX Improvement
7
Learning Difficulty
6
Complex Setup
5
Difficult Setup
5
Acceldata features and usability ratings that predict user satisfaction
9.4
Data Observability
Average: 8.9
7.6
Testing capabilities
Average: 8.5
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
339 Twitter followers
LinkedIn® Page
www.linkedin.com
73 employees on LinkedIn®
(121)4.5 out of 5
Optimized for quick response
Save to My Lists
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    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
    • 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
    23
    Features
    17
    User Interface
    15
    Data Lineage
    14
    Integrations
    12
    Cons
    Limited Functionality
    7
    Lacking Features
    6
    Missing Features
    6
    Data Lineage Issues
    5
    Integration 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
    9,598 Twitter followers
    LinkedIn® Page
    in.linkedin.com
    548 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
  • 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
23
Features
17
User Interface
15
Data Lineage
14
Integrations
12
Cons
Limited Functionality
7
Lacking Features
6
Missing Features
6
Data Lineage Issues
5
Integration 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
9,598 Twitter followers
LinkedIn® Page
in.linkedin.com
548 employees on LinkedIn®
(190)4.7 out of 5
3rd 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
    • 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
    8.7
    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
    5,678 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
8.7
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
5,678 Twitter followers
LinkedIn® Page
www.linkedin.com
1,682 employees on LinkedIn®
(339)4.5 out of 5
Optimized for quick response
9th 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
    5,678 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.

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
5,678 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
    13
    Easy Integration
    10
    Data Synchronization
    9
    Integrations
    9
    Platform Integration
    9
    Cons
    Expensive
    5
    Syncing Issues
    5
    Sync Issues
    5
    Integration Issues
    4
    Learning Curve
    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
    2,703 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
13
Easy Integration
10
Data Synchronization
9
Integrations
9
Platform Integration
9
Cons
Expensive
5
Syncing Issues
5
Sync Issues
5
Integration Issues
4
Learning Curve
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
2,703 Twitter followers
LinkedIn® Page
www.linkedin.com
436 employees on LinkedIn®