# Top 10 DataHub Alternatives & Competitors
**Average Rating:** 4.4/5
**Total Number of Reviews:** 8
The Data Governance Tools solutions below are the most common alternatives that users and reviewers compare with DataHub. Data Governance Tools is a widely used technology, and many people are seeking simple, sophisticated software solutions with ai text generation, data lineage, and ai text summarization. Other important factors to consider when researching alternatives to DataHub include reliability and ease of use. The best overall DataHub alternative is SAS Viya. Other similar apps like DataHub are Demandbase One, Databricks, Egnyte, and Domo. DataHub alternatives can be found in [Data Governance Tools](https://www.g2.com/categories/data-governance-tools) but may also be in [Analytics Platforms](https://www.g2.com/categories/analytics-platforms) or [Account Data Management Software](https://www.g2.com/categories/account-data-management).


## Best Paid & Free Alternatives to DataHub
  - [SAS Viya](https://www.g2.com/products/sas-sas-viya/reviews)
  - [Demandbase One](https://www.g2.com/products/demandbase-one/reviews)
  - [Databricks](https://www.g2.com/products/databricks/reviews)
  - [Egnyte](https://www.g2.com/products/egnyte/reviews)
  - [Domo](https://www.g2.com/products/domo/reviews)
  - [Planhat](https://www.g2.com/products/planhat/reviews)
  - [Snowflake](https://www.g2.com/products/snowflake/reviews)
  - [HubSpot Data Hub](https://www.g2.com/products/hubspot-data-hub/reviews)
  - [Twilio Segment](https://www.g2.com/products/twilio-segment/reviews)
  - [Monte Carlo](https://www.g2.com/products/monte-carlo/reviews)

## Top 10 Alternatives to DataHub Recently Reviewed By G2 Community
Browse options below. Based on reviewer data, you can see how DataHub stacks up to the competition, check reviews from current & previous users in industries like Information Technology and Services, Computer & Network Security, and Computer Software, and find the best product for your business.


  ### 1. [SAS Viya](https://www.g2.com/products/sas-sas-viya/reviews)
By SAS Institute Inc.
**Average Rating:** 4.3/5
**Total Reviews:** 800
As a cloud-native AI, analytics and data management platform, SAS Viya enables you to scale cost-effectively, increase productivity and innovate faster, backed by trust and transparency. SAS Viya makes it possible to integrate teams and technology enabling all users to work together successfully to turn critical questions into accurate decisions.


Categories in common with DataHub: [Data Governance](https://www.g2.com/categories/data-governance-tools), [Data Quality](https://www.g2.com/categories/data-quality)

**Compare:** [DataHub vs SAS Viya](https://www.g2.com/compare/datahub-vs-sas-sas-viya)
**Compare SAS Viya with other alternatives:**
- [SAS Viya vs Demandbase One](https://www.g2.com/compare/demandbase-one-vs-sas-sas-viya)
- [SAS Viya vs Databricks](https://www.g2.com/compare/databricks-vs-sas-sas-viya)
- [SAS Viya vs Egnyte](https://www.g2.com/compare/egnyte-vs-sas-sas-viya)
- [SAS Viya vs Domo](https://www.g2.com/compare/domo-vs-sas-sas-viya)
- [SAS Viya vs Planhat](https://www.g2.com/compare/planhat-vs-sas-sas-viya)
- [SAS Viya vs Snowflake](https://www.g2.com/compare/sas-sas-viya-vs-snowflake)
- [SAS Viya vs HubSpot Data Hub](https://www.g2.com/compare/hubspot-data-hub-vs-sas-sas-viya)
- [SAS Viya vs Twilio Segment](https://www.g2.com/compare/sas-sas-viya-vs-twilio-segment)
- [SAS Viya vs Monte Carlo](https://www.g2.com/compare/monte-carlo-vs-sas-sas-viya)

  ### 2. [Demandbase One](https://www.g2.com/products/demandbase-one/reviews)
By Demandbase
**Average Rating:** 4.4/5
**Total Reviews:** 1,991
The biggest and fastest growing companies in the world rely on Demandbase to drive their ABM and ABX strategies and to maximize their go-to-market performance. With the Demandbase ABX Cloud, fueled by our Account Intelligence, you have one platform to connect your 1st and 3rd party data for one view of the account, making it easy for revenue teams to stay coordinated across the entire buying journey, from prospect to customer.


Reviewers say compared to DataHub, Demandbase One is:
- Better at support
Categories in common with DataHub: [Data Quality](https://www.g2.com/categories/data-quality)

**Compare:** [DataHub vs Demandbase One](https://www.g2.com/compare/datahub-vs-demandbase-one)
**Compare Demandbase One with other alternatives:**
- [Demandbase One vs SAS Viya](https://www.g2.com/compare/demandbase-one-vs-sas-sas-viya)
- [Demandbase One vs Databricks](https://www.g2.com/compare/databricks-vs-demandbase-one)
- [Demandbase One vs Egnyte](https://www.g2.com/compare/demandbase-one-vs-egnyte)
- [Demandbase One vs Domo](https://www.g2.com/compare/demandbase-one-vs-domo)
- [Demandbase One vs Planhat](https://www.g2.com/compare/demandbase-one-vs-planhat)
- [Demandbase One vs Snowflake](https://www.g2.com/compare/demandbase-one-vs-snowflake)
- [Demandbase One vs HubSpot Data Hub](https://www.g2.com/compare/demandbase-one-vs-hubspot-data-hub)
- [Demandbase One vs Twilio Segment](https://www.g2.com/compare/demandbase-one-vs-twilio-segment)
- [Demandbase One vs Monte Carlo](https://www.g2.com/compare/demandbase-one-vs-monte-carlo)

  ### 3. [Databricks](https://www.g2.com/products/databricks/reviews)
By Databricks Inc.
**Average Rating:** 4.6/5
**Total Reviews:** 1,335
Making big data simple


Reviewers say compared to DataHub, Databricks is:
- Better at support
- More usable
- Easier to set up
Categories in common with DataHub: [Data Governance](https://www.g2.com/categories/data-governance-tools)

**Compare:** [DataHub vs Databricks](https://www.g2.com/compare/datahub-vs-databricks)
**Compare Databricks with other alternatives:**
- [Databricks vs SAS Viya](https://www.g2.com/compare/databricks-vs-sas-sas-viya)
- [Databricks vs Demandbase One](https://www.g2.com/compare/databricks-vs-demandbase-one)
- [Databricks vs Egnyte](https://www.g2.com/compare/databricks-vs-egnyte)
- [Databricks vs Domo](https://www.g2.com/compare/databricks-vs-domo)
- [Databricks vs Planhat](https://www.g2.com/compare/databricks-vs-planhat)
- [Databricks vs Snowflake](https://www.g2.com/compare/databricks-vs-snowflake)
- [Databricks vs HubSpot Data Hub](https://www.g2.com/compare/databricks-vs-hubspot-data-hub)
- [Databricks vs Twilio Segment](https://www.g2.com/compare/databricks-vs-twilio-segment)
- [Databricks vs Monte Carlo](https://www.g2.com/compare/databricks-vs-monte-carlo)

  ### 4. [Egnyte](https://www.g2.com/products/egnyte/reviews)
By Egnyte
**Average Rating:** 4.4/5
**Total Reviews:** 1,160
Egnyte delivers the only modern content platform that is purpose-built for businesses. Egnyte gives IT centralized control and protection over their files, and users fast access to their content, no matter how or where work happens.


Reviewers say compared to DataHub, Egnyte is:
- More usable
- Easier to set up
- Better at support
Categories in common with DataHub: [Data Governance](https://www.g2.com/categories/data-governance-tools)

**Compare:** [DataHub vs Egnyte](https://www.g2.com/compare/datahub-vs-egnyte)
**Compare Egnyte with other alternatives:**
- [Egnyte vs SAS Viya](https://www.g2.com/compare/egnyte-vs-sas-sas-viya)
- [Egnyte vs Demandbase One](https://www.g2.com/compare/demandbase-one-vs-egnyte)
- [Egnyte vs Databricks](https://www.g2.com/compare/databricks-vs-egnyte)
- [Egnyte vs Domo](https://www.g2.com/compare/domo-vs-egnyte)
- [Egnyte vs Planhat](https://www.g2.com/compare/egnyte-vs-planhat)
- [Egnyte vs Snowflake](https://www.g2.com/compare/egnyte-vs-snowflake)
- [Egnyte vs HubSpot Data Hub](https://www.g2.com/compare/egnyte-vs-hubspot-data-hub)
- [Egnyte vs Twilio Segment](https://www.g2.com/compare/egnyte-vs-twilio-segment)
- [Egnyte vs Monte Carlo](https://www.g2.com/compare/egnyte-vs-monte-carlo)

  ### 5. [Domo](https://www.g2.com/products/domo/reviews)
By Domo
**Average Rating:** 4.3/5
**Total Reviews:** 1,011
Domo is a cloud-native data experience platform that empowers organizations to connect, visualize, and analyze data from diverse sources in real-time. Designed for both technical and non-technical users, Domo facilitates data-driven decision-making across all levels of an organization by providing intuitive dashboards, AI-powered insights, and customizable visualizations. Its scalable architecture ensures seamless integration with existing cloud and on-premise systems, enabling businesses to optimize processes and drive actionable outcomes efficiently. Key Features and Functionality: - Data Integration: Connects with over 1,000 pre-built connectors, allowing seamless access to various data systems, including CRM, ERP, and cloud databases. - Business Intelligence & Analytics: Offers intuitive tools for creating dynamic dashboards, reports, and visualizations, making complex analytics accessible to all teams. - AI and Predictive Insights: Leverages machine learning capabilities to provide predictive analytics and actionable recommendations based on real-time data. - App Creation: Enables the development of custom, low-code, and pro-code business applications that automate processes and streamline decision-making. - Security & Governance: Provides robust data governance tools, including personalized data permissions, custom user roles, and compliance with standards like GDPR and HIPAA. Primary Value and Solutions: Domo addresses the challenge of fragmented data by unifying information from multiple sources into a single platform, enabling organizations to gain comprehensive insights and make informed decisions swiftly. Its user-friendly interface democratizes data access, allowing teams to collaborate effectively using real-time information. By integrating AI-powered analytics and customizable applications, Domo helps businesses optimize operations, identify trends, and drive growth, all while maintaining stringent security and governance standards.


Categories in common with DataHub: [Data Governance](https://www.g2.com/categories/data-governance-tools)

**Compare:** [DataHub vs Domo](https://www.g2.com/compare/datahub-vs-domo)
**Compare Domo with other alternatives:**
- [Domo vs SAS Viya](https://www.g2.com/compare/domo-vs-sas-sas-viya)
- [Domo vs Demandbase One](https://www.g2.com/compare/demandbase-one-vs-domo)
- [Domo vs Databricks](https://www.g2.com/compare/databricks-vs-domo)
- [Domo vs Egnyte](https://www.g2.com/compare/domo-vs-egnyte)
- [Domo vs Planhat](https://www.g2.com/compare/domo-vs-planhat)
- [Domo vs Snowflake](https://www.g2.com/compare/domo-vs-snowflake)
- [Domo vs HubSpot Data Hub](https://www.g2.com/compare/domo-vs-hubspot-data-hub)
- [Domo vs Twilio Segment](https://www.g2.com/compare/domo-vs-twilio-segment)
- [Domo vs Monte Carlo](https://www.g2.com/compare/domo-vs-monte-carlo)

  ### 6. [Planhat](https://www.g2.com/products/planhat/reviews)
By Planhat
**Average Rating:** 4.5/5
**Total Reviews:** 931
Connect customer data, get actionable insights and drive customer actions. Planhat is a beautiful and intuitive Customer Success Software for SaaS.


Reviewers say compared to DataHub, Planhat is:
- Better at support
Categories in common with DataHub: [Data Quality](https://www.g2.com/categories/data-quality)

**Compare:** [DataHub vs Planhat](https://www.g2.com/compare/datahub-vs-planhat)
**Compare Planhat with other alternatives:**
- [Planhat vs SAS Viya](https://www.g2.com/compare/planhat-vs-sas-sas-viya)
- [Planhat vs Demandbase One](https://www.g2.com/compare/demandbase-one-vs-planhat)
- [Planhat vs Databricks](https://www.g2.com/compare/databricks-vs-planhat)
- [Planhat vs Egnyte](https://www.g2.com/compare/egnyte-vs-planhat)
- [Planhat vs Domo](https://www.g2.com/compare/domo-vs-planhat)
- [Planhat vs Snowflake](https://www.g2.com/compare/planhat-vs-snowflake)
- [Planhat vs HubSpot Data Hub](https://www.g2.com/compare/hubspot-data-hub-vs-planhat)
- [Planhat vs Twilio Segment](https://www.g2.com/compare/planhat-vs-twilio-segment)
- [Planhat vs Monte Carlo](https://www.g2.com/compare/monte-carlo-vs-planhat)

  ### 7. [Snowflake](https://www.g2.com/products/snowflake/reviews)
By Snowflake, Inc.
**Average Rating:** 4.5/5
**Total Reviews:** 756
Snowflake’s platform eliminates data silos and simplifies architectures, so organizations can get more value from their data. The platform is designed as a single, unified product with automations that reduce complexity and help ensure everything “just works”. To support a wide range of workloads, it’s optimized for performance at scale no matter whether someone’s working with SQL, Python, or other languages. And it’s globally connected so organizations can securely access the most relevant content across clouds and regions, with one consistent experience.


Reviewers say compared to DataHub, Snowflake is:
- Easier to set up
- More usable
- Better at meeting requirements
Categories in common with DataHub: [Data Governance](https://www.g2.com/categories/data-governance-tools)

**Compare:** [DataHub vs Snowflake](https://www.g2.com/compare/datahub-vs-snowflake)
**Compare Snowflake with other alternatives:**
- [Snowflake vs SAS Viya](https://www.g2.com/compare/sas-sas-viya-vs-snowflake)
- [Snowflake vs Demandbase One](https://www.g2.com/compare/demandbase-one-vs-snowflake)
- [Snowflake vs Databricks](https://www.g2.com/compare/databricks-vs-snowflake)
- [Snowflake vs Egnyte](https://www.g2.com/compare/egnyte-vs-snowflake)
- [Snowflake vs Domo](https://www.g2.com/compare/domo-vs-snowflake)
- [Snowflake vs Planhat](https://www.g2.com/compare/planhat-vs-snowflake)
- [Snowflake vs HubSpot Data Hub](https://www.g2.com/compare/hubspot-data-hub-vs-snowflake)
- [Snowflake vs Twilio Segment](https://www.g2.com/compare/snowflake-vs-twilio-segment)
- [Snowflake vs Monte Carlo](https://www.g2.com/compare/monte-carlo-vs-snowflake)

  ### 8. [HubSpot Data Hub](https://www.g2.com/products/hubspot-data-hub/reviews)
By HubSpot
**Average Rating:** 4.5/5
**Total Reviews:** 576
HubSpot Operations Hub allows you to keep all your contacts in 2-Way, Real Time Sync no matter if you use (Gmail/Outlook, Salesforce, Pipedrive, Constant Contact, Prosperworks, HubSpot, MailChimp or ActiveCampaign to name a few).


Reviewers say compared to DataHub, HubSpot Data Hub is:
- Easier to set up
- Better at support
- More usable
Categories in common with DataHub: [Data Quality](https://www.g2.com/categories/data-quality)

**Compare:** [DataHub vs HubSpot Data Hub](https://www.g2.com/compare/datahub-vs-hubspot-data-hub)
**Compare HubSpot Data Hub with other alternatives:**
- [HubSpot Data Hub vs SAS Viya](https://www.g2.com/compare/hubspot-data-hub-vs-sas-sas-viya)
- [HubSpot Data Hub vs Demandbase One](https://www.g2.com/compare/demandbase-one-vs-hubspot-data-hub)
- [HubSpot Data Hub vs Databricks](https://www.g2.com/compare/databricks-vs-hubspot-data-hub)
- [HubSpot Data Hub vs Egnyte](https://www.g2.com/compare/egnyte-vs-hubspot-data-hub)
- [HubSpot Data Hub vs Domo](https://www.g2.com/compare/domo-vs-hubspot-data-hub)
- [HubSpot Data Hub vs Planhat](https://www.g2.com/compare/hubspot-data-hub-vs-planhat)
- [HubSpot Data Hub vs Snowflake](https://www.g2.com/compare/hubspot-data-hub-vs-snowflake)
- [HubSpot Data Hub vs Twilio Segment](https://www.g2.com/compare/hubspot-data-hub-vs-twilio-segment)
- [HubSpot Data Hub vs Monte Carlo](https://www.g2.com/compare/hubspot-data-hub-vs-monte-carlo)

  ### 9. [Twilio Segment](https://www.g2.com/products/twilio-segment/reviews)
By Twilio
**Average Rating:** 4.5/5
**Total Reviews:** 566
Segment is a customer data platform that helps every team access clean and reliable customer data to make real-time decisions, accelerate growth, and personalize experiences. Today, over 20,000 companies across 70+ countries use Segment, from fast-growing businesses like Instacart, Peloton, and Bonobos to some of the world’s largest organizations like Levi’s, Intuit, and FOX. With Segment, companies can connect and activate reliable first-party data across 300+ marketing, analytics, and data warehousing tools.


Reviewers say compared to DataHub, Twilio Segment is:
- Easier to set up
- More usable
- Better at support
Categories in common with DataHub: [Data Governance](https://www.g2.com/categories/data-governance-tools)

**Compare:** [DataHub vs Twilio Segment](https://www.g2.com/compare/datahub-vs-twilio-segment)
**Compare Twilio Segment with other alternatives:**
- [Twilio Segment vs SAS Viya](https://www.g2.com/compare/sas-sas-viya-vs-twilio-segment)
- [Twilio Segment vs Demandbase One](https://www.g2.com/compare/demandbase-one-vs-twilio-segment)
- [Twilio Segment vs Databricks](https://www.g2.com/compare/databricks-vs-twilio-segment)
- [Twilio Segment vs Egnyte](https://www.g2.com/compare/egnyte-vs-twilio-segment)
- [Twilio Segment vs Domo](https://www.g2.com/compare/domo-vs-twilio-segment)
- [Twilio Segment vs Planhat](https://www.g2.com/compare/planhat-vs-twilio-segment)
- [Twilio Segment vs Snowflake](https://www.g2.com/compare/snowflake-vs-twilio-segment)
- [Twilio Segment vs HubSpot Data Hub](https://www.g2.com/compare/hubspot-data-hub-vs-twilio-segment)
- [Twilio Segment vs Monte Carlo](https://www.g2.com/compare/monte-carlo-vs-twilio-segment)

  ### 10. [Monte Carlo](https://www.g2.com/products/monte-carlo/reviews)
By Monte Carlo
**Average Rating:** 4.3/5
**Total Reviews:** 524
Monte Carlo is the first end-to-end solution to prevent broken data pipelines. Monte Carlo’s solution delivers the power of data observability, giving data engineering and analytics teams the ability to solve the costly problem of data downtime.


Reviewers say compared to DataHub, Monte Carlo is:
- Better at support
Categories in common with DataHub: [Data Quality](https://www.g2.com/categories/data-quality)

**Compare:** [DataHub vs Monte Carlo](https://www.g2.com/compare/datahub-vs-monte-carlo)
**Compare Monte Carlo with other alternatives:**
- [Monte Carlo vs SAS Viya](https://www.g2.com/compare/monte-carlo-vs-sas-sas-viya)
- [Monte Carlo vs Demandbase One](https://www.g2.com/compare/demandbase-one-vs-monte-carlo)
- [Monte Carlo vs Databricks](https://www.g2.com/compare/databricks-vs-monte-carlo)
- [Monte Carlo vs Egnyte](https://www.g2.com/compare/egnyte-vs-monte-carlo)
- [Monte Carlo vs Domo](https://www.g2.com/compare/domo-vs-monte-carlo)
- [Monte Carlo vs Planhat](https://www.g2.com/compare/monte-carlo-vs-planhat)
- [Monte Carlo vs Snowflake](https://www.g2.com/compare/monte-carlo-vs-snowflake)
- [Monte Carlo vs HubSpot Data Hub](https://www.g2.com/compare/hubspot-data-hub-vs-monte-carlo)
- [Monte Carlo vs Twilio Segment](https://www.g2.com/compare/monte-carlo-vs-twilio-segment)


---
## DataHub Alternatives FAQs

### What features do alternatives offer that DataHub does not?

DataHub lacks native support for data distribution and integration with DBT and data quality test frameworks, which are available in some alternatives.



### What are the best alternatives to DataHub?

The best alternatives to DataHub include [SAS Viya](https://www.g2.com/products/sas-sas-viya/reviews) (4.3/5 stars, 800 reviews), [Demandbase One](https://www.g2.com/products/demandbase-one/reviews) (4.4/5 stars, 1961 reviews), [Egnyte](https://www.g2.com/products/egnyte/reviews) (4.4/5 stars, 1162 reviews), and [Domo](https://www.g2.com/products/domo/reviews) (4.3/5 stars, 1005 reviews). These platforms offer robust data governance, analytics, and integration capabilities with significantly larger user bases and extensive feature sets.



### Which Data Governance tools do reviewers recommend instead of DataHub?

Reviewers recommend [SAS Viya](https://www.g2.com/products/sas-sas-viya/reviews) for its powerful cloud-native AI, analytics, and data management platform that excels in handling large datasets and offers seamless integration with open-source tools like Python and R. [Demandbase One](https://www.g2.com/products/demandbase-one/reviews) is favored for its unified account intelligence, intent data, and strong sales-marketing alignment capabilities, making it ideal for B2B account-based marketing. [Egnyte](https://www.g2.com/products/egnyte/reviews) is praised for its user-friendly hybrid content platform with strong security and easy file sharing across cloud and on-premises environments. [Domo](https://www.g2.com/products/domo/reviews) is recommended for its comprehensive cloud-native data experience platform that integrates data from over 1,000 sources, offers AI-powered insights, and enables intuitive dashboarding and app creation for both technical and non-technical users.



### How does DataHub compare to SAS Viya?

According to G2 data, [DataHub](https://www.g2.com/products/datahub/reviews) holds a slightly higher average rating of 4.4/5 from 8 reviews compared to [SAS Viya](https://www.g2.com/products/sas-sas-viya/reviews)'s 4.3/5 from 800 reviews. DataHub excels in ease of use, open-source accessibility, and connectivity, with users highlighting its simplicity, free usage, and effective data lineage management. However, it faces challenges with integration issues, performance on large datasets, and limited feature sets. In contrast, SAS Viya is praised for its comprehensive analytics capabilities, advanced AI/ML features, strong data visualization, and scalability, supported by 234 mentions of ease of use and 175 mentions of features. SAS Viya supports multiple programming languages (SAS, Python, R) and offers a unified cloud-native platform with powerful in-memory processing, making it suitable for large-scale enterprise environments. Dimension scores show DataHub leads SAS Viya by 0.5 points in "better at meeting requirements" (9.0 vs 8.5), 0.3 points in "more usable" (8.5 vs 8.2), and 0.3 points in "easier to set up" (8.3 vs 8.0). SAS Viya scores higher in "easier to admin" by 0.4 points (7.6 vs DataHub's unscored) and slightly better in "better at support" (8.4 vs 8.5 for DataHub). SAS Viya offers data distribution features not available in DataHub, while DataHub provides compliance management, governance, policy management, and training features absent in SAS Viya. Overall, DataHub is favored for simplicity and open-source flexibility, whereas SAS Viya is preferred for enterprise-grade analytics, scalability, and advanced AI integration.



### Why do users choose SAS Viya over DataHub?

Users choose [SAS Viya](https://www.g2.com/products/sas-sas-viya/reviews) over DataHub primarily for its extensive analytics and AI capabilities, scalability, and enterprise readiness. SAS Viya supports multiple programming languages including SAS, Python, and R, enabling flexible workflows and collaboration across diverse teams. Its cloud-native architecture and in-memory CAS engine deliver high performance on large datasets, with 83 mentions of scalability and 94 mentions of performance efficiency. The platform integrates advanced machine learning, automated model building, and interactive visualization tools, which are highly valued by 79 mentions of machine learning and 116 mentions of data visualization. SAS Viya's unified environment streamlines the entire analytics lifecycle from data preparation to model deployment, enhancing productivity and governance. Despite a steeper learning curve and higher cost cited in 105 and 78 mentions respectively, users appreciate the robust support system, frequent updates, and comprehensive features that justify the investment. The platform's ability to handle complex, large-scale data workloads efficiently and its seamless integration with open-source tools make it the preferred choice for organizations seeking a powerful, scalable analytics solution. Additionally, SAS Viya's strong customer support and continuous innovation in AI-driven analytics contribute to its selection over DataHub, especially in regulated and enterprise contexts.




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