A data and analytics governance platform is a set of integrated business and technology capabilities that help business leaders and users develop and manage a diverse set of governance policies and enforce those policies across business and data management systems. These platforms are unique from data management in that data management focuses on policy execution, whereas D&A platforms are used primarily by business roles — not only or even specifically IT roles — for policy management.
Data and analytics (D&A) leaders who are investing in operationalizing and automating the work of D&A governance should evaluate this market. The work of D&A governance primarily includes policy setting and policy enforcement, and collaborates with data management (policy execution). Use cases are employed across numerous governance policy categories and multiple business scenarios and asset types (data, KPIs, analytics models). The intersection of use-case/business scenarios, policy categories and assets to be governed is then used to identify the technology capability. These capabilities may share similar names across policy categories, but may not mean the same thing, or may be used differently by various governance personas. For example, data classification in a data security implementation would be quite different from a data classification effort for creating trust models, which would be based on lineage and curation.

Data and Analytics Governance Platforms

Gartner defines augmented data quality (ADQ) solutions as a set of capabilities for enhanced data quality experience aimed at improving insight discovery, next-best-action suggestions and process automation by leveraging AI/machine learning (ML) features, graph analysis and metadata analytics. Each of these technologies can work independently, or cooperatively, to create network effects that can be used to increase automation and effectiveness across a broad range of data quality use cases. These purpose-built solutions include a range of functions such as profiling and monitoring; data transformation; rule discovery and creation; matching, linking and merging; active metadata support; data remediation and role-based usability.

Augmented Data Quality Solutions

Data security platforms (DSPs) combine data discovery, policy definition and policy enforcement across data silos. Policy enforcement capabilities include format-preserving encryption, tokenization and dynamic data masking. These capabilities can be delivered through connectors, agents, proxies and APIs.
Business requirements to leverage data and share data, for example for AI/ML use cases, require data security controls and highly-granular data access which is provisioned fast and humanly understandable. Tight-fitting data access and security controls allow you to reveal and share (leverage) more of your data. However, organizations face sufficient complexity when it comes to provisioning and rightsizing entitlements and data security controls. This extends to data privacy as well as analytics governance and ethics.
The DSP delivers most of the required components critical to enabling good data governance and optimized data security controls while preventing the exponential increase of data access and policy rules.

Data Security Platforms

Microsoft Purview Data Governance Reviews, Ratings & Features 2026 | Gartner Peer Insights

Evaluation and contract negotiation

Evaluation & Contracting

Integration and deployment

Integration & Deployment

Service and support

Service & Support

Product capabilities

Product Capabilities

Scalability

Integration

Customization

Ease of deployment, administration, and maintenance

Ab Initio

Alation Data Intelligence Platform

Alation

Atlan

Collibra Platform

Collibra

DataGalaxy

Informatica Cloud Data Governance and Catalog

Informatica

Google BigQuery

Google

Microsoft Purview Data Governance

Microsoft

Informatica Intelligent Data Management Cloud

Dataedo

50M - 250M USD

500M - 1B USD

250M - 500M USD

1B - 3B USD

<50M USD

3B - 10B USD

10B - 30B USD

30B + USD

Group Product Manager

++ Positive:
- The application is quick and easy to set-up
- "Managed" infrastructure types such as managed integration runtimes and managed private endpoints are available, making management of infrastructure components a breeze
- It is a very cost efficient data cataloging tool, with almost no upfront costs and no extra costs for additional users.
- Purview integrates really well with the Azure landscape
- Purview works great if the current design suits your governance structure. Friction starts if your existing Governance does not align with the current line of thinking of Purview and if some customizability is required.


-- Improvement points:
- In general, Purview feels like a promising application in development that currently has many small shortcomings that should be addressed.

# UI
- The UI is not very intuitive. The landing page is a 'getting started' page which is not useful for general users and also not useful for admins after initial set-up. It takes multiple clicks for a user to start a real search for data (in any other catalog this is zero). The UI does not allow for any customization, so it is not possible to link to any company specific resources on the homepage.
- Purview has two search bars, one persistent search bar in the lint that only results in searching for Microsoft documentation, and a search bar hidden behind a 'discovery' tab that actually results in searching for data products. Users use the persistent search bar in the lint often, resulting in them getting lost without actually finding data.
- The UI is not context aware. Normal users can see menu's to which they have no access, leading to confusing. Also, data stewards sometimes end-up in the wrong menu where they cannot edit data products.

# Data Products
- Once a data product is created in a Governance Domain, it is not possible to move the data product to another governance domain.
- Currently, the 'contacts' field under a data product is tightly coupled with the 'data product owner' field, allowing only a one-to-one relationship. This design limits flexibility and does not reflect common governance models where a data product has one owner but multiple relevant contacts (e.g. data stewards, subject matter experts). Allowing separate management of contacts would improve usability and better support real-world organizational structures. Moreover, customers need to be able to use this expert field to route tasks in access request workflows in the future.
- In Purview, a data product consists of one or more "data assets" (e.g. containers, schema's, reports). These assets are presented in a flat list in the data product. For large data products containing many assets, this is not so useful. The ability to show hierarchy and/or relationships between assets would be helpful.
- It is not possible for users to rate data products or to provide feedback on data products. This feature is possible for data assets though.
- While data products have to be "unpublished" in order to be edited, after which they have to be "published" again, it is not possible to see an audit trail in the UI, or to roll backt to older versions.

# Search Behavior
- The current default search behavior does not support partial term matching for data products, resulting in zero results even when a relevant item exists. This limits discoverability and undermines the core purpose of a data catalog: making data accessible and searchable. While a natural language search option exists, it is hidden behind a toggle which is not intuitive for new users. Making natural language search a default behavior or improving the visibility and usability of natural language search would significantly enhance user experience and adoption.
- Data asset search contains many legacy components. Searching for a container name can result in thousands of matches, as any path of any file in a container contains the name of the container. No prioritization in search results seem to happen. And why are ADLS2 containers called File Systems in Purview?

# Custom metadata
- While it is possible to create custom metadata attributes, the functionality is weak. No people-select type of field exists and it is not possible to create dynamic lists. Furthermore, filtering on these custom attributes is not available everywhere and otherwise hidden, further limiting it's usability. An example is that a "date" field exists, while the filter only allows the user to select items "last 24 hours" until "1 year ago", while the filter should logically be a datepicker.

# Scanning
- Scanning Fabric and Databricks is only cumulative: items that are deleted in the source, are not deleted in Purview. Furthermore, deleted items are not tagged in any way.
- Automated data classification is a great functionality, but not available for all source types, such as Fabric
- Scoped scans are not available for all source types. 

# Glossary
- An old and a new business glossary exist with different functionality. The old glossary could be linked to columns of assets, the new glossary still can't. One coherent solution is required.

# Access requests
- The request access form and workflow are currently not customizable. This feature is on the roadmap though.
- Real integration with access management systems, or actual access provisioning, is currently not possible.

# Infrastructure
- Purview only allows for one Purview resource per tenant. Thus, you are always working in production. 

# Adoption reporting
- Adoption reporting is focused on the "data asset" experience, but not on the new "data products". It is not possible to see what users are searching for (and not finding) on data product level.

IT Associate

Although Microsoft has a good community, there is a huge difference between community participation for Fabric and Purview.  I consider Purview still as a niche product. In regards to developing the product we can see that more effort is put in Data Security and Compliance features than in data governance solutions.

Oracle

Other...

Ataccama

Precisely

OneTrust

Alteryx

Adaptive

Hitachi Vantara

AvePoint

data.world

Modak

BigID

CastorDoc

Dawiso

DTA Healthcare Solutions

Pros:
1. Distinction between Data Catalog and Data Map helps separate business and technical objects
2. Discovery and catalog management features clearly separate search and management functionality
3. Although relatively new, the addition of DQ functionality adds value
4. Automatic scanning of metadata from source applications with scheduled scans (only for sources supported by purview)
5. Support management of Data Domains and data products

Cons:
1. Support from Microsoft on the tool related issues or improvements needed is not up to the mark.
2. Integration with types of soruces is limited, for scanning metadata
3. Data Domains and data products are the core concepts around which the purview revolves, so having a generic metadata management tool is better. For example, sme team maintains data definitions in an excel and they don't immediately want to get into a discussion of whether a data product should be created to attach this excel to and then define. They just need a place to fill in the metadata.
4. As it is a new tool, it is still in development, so features like access control and data lineage are not fully functional (end to end)

SR. IT SUPPORT SPECIALIST

Microsoft Purview offers powerful data governance features and integrates will with other Microsoft products, but the initial setup is complicated and the interface can be overwhelming. Cost is also a concern, and the real-time features are not very real-time. It's a solid tool if you're already working in the Microsoft ecosystem, but expect a learning curve and some frustration with usability and alerting. 

Operations Associate

MS Purview works really well with other MS products like office 365 , Sharepoint , Teams, etc.  The automatic scan feature is really nice as well.

Director of IT

Good in theory but confusing to set up, use and administer as an admin

IT Manager

i) Cost is economical compared to its competitors on DG front
ii) Seamless connectivity with Azure systems
iii) Auto classification during scan

TECHLEAD MICROSOFT 365

PureView is a complete information security platform, it’s scalable to fill the needs of our organisation. The integration between the different workloads is amazing. An easy way to get a birds-eye view of the organization’s status on compliance to insider risk analysis is well worth the cost. 

IT SYSTEM SPECIALIST

We have had a positive experience with Microsoft Purview. It has streamlined our data governance strategy and given us much better visibility and control over our information landscape. While there are still areas for improvement, the platform has proven reliable and effective overall.

SNR. MASTER DATA SPECIALIST

My overall experience is that the implementation architecture and strategy need to be well thought out before starting the configuration. However, the tool has improved over the years and provides the missing link in the Microsoft Azure eco system.

Active

Find the top Data and Analytics Governance Platforms with Gartner. Compare and filter by verified product reviews and choose the software that’s right for your organization.

50M-1B USD

1B-10B USD

10B+ USD

Director of IT Services

Very effective product that helped us to secure and govern our office 365 products.

System Administrator II

Microsoft is a great vendor to work with, given the seamless integration between the various platforms.

IT Analyst

Provides an interactive approach to data governance.  Supports data governance through data mapping and a unified catalog. 

DIRECTOR,INFORMATION SECURITY

Purview provides a single point of administration for data governance, security, and compliance tasks.  It also gives me the ability to monitor my environment and provide real-time data loss prevention.  It allows me to map and classify sensitive data across my network, giving me visibility into data links and movements.

CHIEF INFORMATION OFFICER

Great security product for data protection. Can fullfill most enterprise data security rules and requirements.

FINANCE MANAGER

Microsoft Purview has demonstrated the ability to seamlessly integrate with other Microsoft products.

IT ASSOCIATE

Lots of helpful features hampered by a constantly changing UI

Microsoft Purview Data Governance is a software that assists organizations in managing, cataloging, and governing data across various sources. It provides capabilities for data discovery, classification, and mapping, enabling users to create a comprehensive inventory of data assets. The software facilitates policy management, access controls, and lineage tracking to help ensure data compliance and security. By centralizing metadata and enabling automated data classification, the software aims to support data transparency and help organizations address regulatory and privacy requirements while improving data access and quality for analytics and business operations.

Microsoft enables digital transformation for the era of an intelligent cloud and an intelligent edge. Its mission is to empower every person and every organization on the planet to achieve more. Microsoft is dedicated to advancing human and organizational achievement.

Microsoft Security helps protect people and data against cyberthreats to give peace of mind.


Every company has a mission. What's ours? To empower every person and every organization to achieve more. We believe technology can and should be a force for good and that meaningful innovation contributes to a brighter world in the future and today. Our culture doesn’t just encourage curiosity; it embraces it. Each day we make progress together by showing up as our authentic selves. We show up with a learn-it-all mentality. We show up cheering on others, knowing their success doesn't diminish our own. We show up every day open to learning our own biases, changing our behavior, and inviting in differences. When we show up, we achieve more together. 

Microsoft operates in 190 countries and is made up of more than 220,000 passionate employees worldwide.