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Best DataOps Platforms for Medium-Sized Businesses

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, medium-sized business features, pricing, setup, and installation differ from businesses of other sizes, which is why we match buyers to the right Medium-Sized 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 Medium-Sized Business DataOps Platforms category.

In addition to qualifying for inclusion in the DataOps Platforms category, to qualify for inclusion in the Medium-Sized Business DataOps Platforms category, a product must have at least 10 reviews left by a reviewer from a medium-sized 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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12 Listings in DataOps Platforms Available
(658)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
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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 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 that integrates AI and machine learning applications for data analysis and management.
    • Users frequently mention the platform's ability to handle large datasets, its seamless integration with cloud services, and its collaborative notebooks that enhance team cooperation.
    • Users experienced challenges with the platform's steep learning curve, particularly for new users without a strong technical background, and the high costs associated with 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
    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
  • 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: 8.6
    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
    Company Website
    Year Founded
    2013
    HQ Location
    San Francisco, CA
    Twitter
    @databricks
    86,612 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 that integrates AI and machine learning applications for data analysis and management.
  • Users frequently mention the platform's ability to handle large datasets, its seamless integration with cloud services, and its collaborative notebooks that enhance team cooperation.
  • Users experienced challenges with the platform's steep learning curve, particularly for new users without a strong technical background, and the high costs associated with 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
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
Databricks Data Intelligence Platform features and usability ratings that predict user satisfaction
8.6
Data Observability
Average: 8.9
8.6
Testing capabilities
Average: 8.6
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
Company Website
Year Founded
2013
HQ Location
San Francisco, CA
Twitter
@databricks
86,612 Twitter followers
LinkedIn® Page
www.linkedin.com
13,825 employees on LinkedIn®
(81)4.9 out of 5
1st Easiest To Use in DataOps Platforms software
Save to My Lists
Entry Level Price:Free
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    5X is an end-to-end data and AI platform. The platform organizes your data regardless of source or format. Whether you have a dedicated data team or not, our platform
transforms fragmented data into a

    Users
    No information available
    Industries
    • Computer Software
    • Financial Services
    Market Segment
    • 56% Mid-Market
    • 40% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • 5X Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    35
    Customer Support
    25
    Features
    18
    User Interface
    15
    Integrations
    14
    Cons
    Steep Learning Curve
    5
    Complex Setup
    4
    Feature Limitations
    4
    Learning Curve
    4
    Difficult Setup
    3
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • 5X features and usability ratings that predict user satisfaction
    9.1
    Data Observability
    Average: 8.9
    9.0
    Testing capabilities
    Average: 8.6
    9.5
    Ease of Use
    Average: 9.1
    6.1
    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
    5X
    Company Website
    Year Founded
    2020
    HQ Location
    San Francisco
    Twitter
    @DataWith5x
    49 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    128 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

5X is an end-to-end data and AI platform. The platform organizes your data regardless of source or format. Whether you have a dedicated data team or not, our platform
transforms fragmented data into a

Users
No information available
Industries
  • Computer Software
  • Financial Services
Market Segment
  • 56% Mid-Market
  • 40% Small-Business
5X Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
35
Customer Support
25
Features
18
User Interface
15
Integrations
14
Cons
Steep Learning Curve
5
Complex Setup
4
Feature Limitations
4
Learning Curve
4
Difficult Setup
3
5X features and usability ratings that predict user satisfaction
9.1
Data Observability
Average: 8.9
9.0
Testing capabilities
Average: 8.6
9.5
Ease of Use
Average: 9.1
6.1
What is your organization's estimated ROI on the product (payback period in months)?
Average: 10
Seller Details
Seller
5X
Company Website
Year Founded
2020
HQ Location
San Francisco
Twitter
@DataWith5x
49 Twitter followers
LinkedIn® Page
www.linkedin.com
128 employees on LinkedIn®
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(197)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
    • 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
  • 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
    5,705 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
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
5,705 Twitter followers
LinkedIn® Page
www.linkedin.com
1,738 employees on LinkedIn®
(489)4.3 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
    • Computer Software
    Market Segment
    • 49% Enterprise
    • 43% 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
  • 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
    Company Website
    HQ Location
    San Francisco, US
    Twitter
    @montecarlodata
    1,586 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
  • 43% 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
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
Company Website
HQ Location
San Francisco, US
Twitter
@montecarlodata
1,586 Twitter followers
LinkedIn® Page
www.linkedin.com
576 employees on LinkedIn®
(382)4.6 out of 5
8th Easiest To Use in DataOps Platforms software
View top Consulting Services for Hightouch
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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
    Integration Issues
    4
    Slow Performance
    4
    Syncing 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: 8.6
    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
    2,731 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
Integration Issues
4
Slow Performance
4
Syncing Issues
4
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
2,731 Twitter followers
LinkedIn® Page
www.linkedin.com
436 employees on LinkedIn®
(67)4.8 out of 5
5th Easiest To Use in DataOps Platforms software
Save to My Lists
Entry Level Price:€350.00
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Peliqan.io is an all-in-one AI-first data integration and automation platform designed for business teams, scale-ups and consultants. Unlike traditional data tools that demand heavy engineering effort

    Users
    No information available
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 46% Mid-Market
    • 43% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Peliqan 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
    38
    Integrations
    36
    Connectors
    31
    Easy Integrations
    31
    Data Management
    29
    Cons
    Learning Difficulty
    17
    Required Technical Skills
    11
    Feature Limitations
    10
    Learning Curve
    9
    Steep Learning Curve
    9
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Peliqan features and usability ratings that predict user satisfaction
    9.2
    Data Observability
    Average: 8.9
    9.6
    Testing capabilities
    Average: 8.6
    9.3
    Ease of Use
    Average: 9.1
    4.9
    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
    Peliqan
    Company Website
    Year Founded
    2022
    HQ Location
    Gent
    Twitter
    @Peliqan_io
    8 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    27 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Peliqan.io is an all-in-one AI-first data integration and automation platform designed for business teams, scale-ups and consultants. Unlike traditional data tools that demand heavy engineering effort

Users
No information available
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 46% Mid-Market
  • 43% Small-Business
Peliqan 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
38
Integrations
36
Connectors
31
Easy Integrations
31
Data Management
29
Cons
Learning Difficulty
17
Required Technical Skills
11
Feature Limitations
10
Learning Curve
9
Steep Learning Curve
9
Peliqan features and usability ratings that predict user satisfaction
9.2
Data Observability
Average: 8.9
9.6
Testing capabilities
Average: 8.6
9.3
Ease of Use
Average: 9.1
4.9
What is your organization's estimated ROI on the product (payback period in months)?
Average: 10
Seller Details
Seller
Peliqan
Company Website
Year Founded
2022
HQ Location
Gent
Twitter
@Peliqan_io
8 Twitter followers
LinkedIn® Page
www.linkedin.com
27 employees on LinkedIn®
(138)4.6 out of 5
11th Easiest To Use in DataOps Platforms software
Save to My Lists
Entry Level Price:Free
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Keboola is the unified AI & Data orchestration platform that empowers organizations to turn data into business value faster and more securely than ever. It acts as your agentic AI co-pilot for dat

    Users
    • Data Analyst
    • Data Engineer
    Industries
    • Information Technology and Services
    • Marketing and Advertising
    Market Segment
    • 64% Mid-Market
    • 21% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Keboola 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
    Features
    27
    Data Management
    26
    Integrations
    26
    Customer Support
    25
    Cons
    Learning Curve
    14
    Complexity
    13
    Steep Learning Curve
    11
    Data Management
    9
    UX Improvement
    9
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Keboola features and usability ratings that predict user satisfaction
    8.4
    Data Observability
    Average: 8.9
    7.7
    Testing capabilities
    Average: 8.6
    8.6
    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
    Keboola
    Company Website
    Year Founded
    2008
    HQ Location
    Prague
    Twitter
    @keboola
    2,018 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    113 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Keboola is the unified AI & Data orchestration platform that empowers organizations to turn data into business value faster and more securely than ever. It acts as your agentic AI co-pilot for dat

Users
  • Data Analyst
  • Data Engineer
Industries
  • Information Technology and Services
  • Marketing and Advertising
Market Segment
  • 64% Mid-Market
  • 21% Small-Business
Keboola 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
Features
27
Data Management
26
Integrations
26
Customer Support
25
Cons
Learning Curve
14
Complexity
13
Steep Learning Curve
11
Data Management
9
UX Improvement
9
Keboola features and usability ratings that predict user satisfaction
8.4
Data Observability
Average: 8.9
7.7
Testing capabilities
Average: 8.6
8.6
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
Keboola
Company Website
Year Founded
2008
HQ Location
Prague
Twitter
@keboola
2,018 Twitter followers
LinkedIn® Page
www.linkedin.com
113 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
    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: 8.6
    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
    Company Website
    Year Founded
    2018
    HQ Location
    New York, US
    Twitter
    @astronomerio
    19,928 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    4,664 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: 8.6
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
Company Website
Year Founded
2018
HQ Location
New York, US
Twitter
@astronomerio
19,928 Twitter followers
LinkedIn® Page
www.linkedin.com
4,664 employees on LinkedIn®
(123)4.5 out of 5
Optimized for quick response
14th Easiest To Use in DataOps Platforms software
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  • 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: 8.6
    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
    9,689 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: 8.6
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
9,689 Twitter followers
LinkedIn® Page
in.linkedin.com
580 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Nexla's AI Integration platform helps enterprises accelerate data onboarding across any connector, format, or schema, breaking silos and enabling production-grade AI with Data Products and agentic ret

    Users
    No information available
    Industries
    • Computer Software
    • Insurance
    Market Segment
    • 42% Mid-Market
    • 34% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Nexla 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
    21
    Automation
    14
    Data Management
    14
    Integrations
    14
    Data Integration
    11
    Cons
    Learning Difficulty
    7
    Slow Performance
    7
    Learning Curve
    6
    Difficult Learning
    5
    Poor Documentation
    5
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Nexla features and usability ratings that predict user satisfaction
    8.9
    Data Observability
    Average: 8.9
    8.7
    Testing capabilities
    Average: 8.6
    8.7
    Ease of Use
    Average: 9.1
    0.0
    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
    Nexla
    Company Website
    Year Founded
    2016
    HQ Location
    San Mateo, California
    Twitter
    @NexlaInc
    940 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    76 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Nexla's AI Integration platform helps enterprises accelerate data onboarding across any connector, format, or schema, breaking silos and enabling production-grade AI with Data Products and agentic ret

Users
No information available
Industries
  • Computer Software
  • Insurance
Market Segment
  • 42% Mid-Market
  • 34% Small-Business
Nexla 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
21
Automation
14
Data Management
14
Integrations
14
Data Integration
11
Cons
Learning Difficulty
7
Slow Performance
7
Learning Curve
6
Difficult Learning
5
Poor Documentation
5
Nexla features and usability ratings that predict user satisfaction
8.9
Data Observability
Average: 8.9
8.7
Testing capabilities
Average: 8.6
8.7
Ease of Use
Average: 9.1
0.0
What is your organization's estimated ROI on the product (payback period in months)?
Average: 10
Seller Details
Seller
Nexla
Company Website
Year Founded
2016
HQ Location
San Mateo, California
Twitter
@NexlaInc
940 Twitter followers
LinkedIn® Page
www.linkedin.com
76 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Datafold is a data observability platform that helps companies prevent data catastrophes. It has a unique ability to identify, prioritize and investigate data quality issues proactively before they af

    Users
    No information available
    Industries
    • Information Technology and Services
    Market Segment
    • 54% Mid-Market
    • 29% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Datafold features and usability ratings that predict user satisfaction
    8.2
    Data Observability
    Average: 8.9
    9.3
    Testing capabilities
    Average: 8.6
    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
    Seller
    Datafold
    Year Founded
    2020
    HQ Location
    New York, US
    Twitter
    @datafoldcom
    1,111 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    33 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Datafold is a data observability platform that helps companies prevent data catastrophes. It has a unique ability to identify, prioritize and investigate data quality issues proactively before they af

Users
No information available
Industries
  • Information Technology and Services
Market Segment
  • 54% Mid-Market
  • 29% Small-Business
Datafold features and usability ratings that predict user satisfaction
8.2
Data Observability
Average: 8.9
9.3
Testing capabilities
Average: 8.6
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
Seller
Datafold
Year Founded
2020
HQ Location
New York, US
Twitter
@datafoldcom
1,111 Twitter followers
LinkedIn® Page
www.linkedin.com
33 employees on LinkedIn®
(68)4.6 out of 5
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.

    Backed by award-winning data analyst support, Mozart Data is the fastest way to set up scalable, reliable data infrastructure that doesn’t need to be maintained by you. Mozart Data’s all-in-one modern

    Users
    No information available
    Industries
    • Computer Software
    • Financial Services
    Market Segment
    • 53% Small-Business
    • 47% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Mozart Data Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    2
    Easy Integrations
    2
    Setup Ease
    2
    Connectivity
    1
    Customer Support
    1
    Cons
    Limitations
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Mozart Data features and usability ratings that predict user satisfaction
    8.7
    Data Observability
    Average: 8.9
    8.0
    Testing capabilities
    Average: 8.6
    9.3
    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
    Year Founded
    2020
    HQ Location
    San Francisco, US
    Twitter
    @MozartData
    450 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    16 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Backed by award-winning data analyst support, Mozart Data is the fastest way to set up scalable, reliable data infrastructure that doesn’t need to be maintained by you. Mozart Data’s all-in-one modern

Users
No information available
Industries
  • Computer Software
  • Financial Services
Market Segment
  • 53% Small-Business
  • 47% Mid-Market
Mozart Data Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
2
Easy Integrations
2
Setup Ease
2
Connectivity
1
Customer Support
1
Cons
Limitations
1
Mozart Data features and usability ratings that predict user satisfaction
8.7
Data Observability
Average: 8.9
8.0
Testing capabilities
Average: 8.6
9.3
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
Year Founded
2020
HQ Location
San Francisco, US
Twitter
@MozartData
450 Twitter followers
LinkedIn® Page
www.linkedin.com
16 employees on LinkedIn®