Centralized access control has secured sensitive data and supports compliant self-service analytics
What is our primary use case?
My main use case for Immuta is data governance. In my project, which is a data governance project, I use Immuta as a centralized data access management tool.
A specific example of how I use Immuta for data governance in my project is that we have used Immuta to control and secure data access. Immuta helped us apply row-level and column-level security, mask sensitive data, and enforce role-based access controls based on the user's role, department, and policies. It also allowed us to ensure compliance and protect our sensitive information by giving users access only to the data they are authorized to see.
In our day-to-day work, we use dynamic data access control policy and fine-grained access policy to manage who can see what data automatically. We define policies in Immuta based on attributes such as user role, department, location, and purpose of use. For example, a finance user can see full financial data, while a non-financial user sees the same table but with sensitive columns masked or with restricted rows. These policies are dynamic, and when a user's role changes, their data access updates automatically with no manual intervention needed. As a result, analysts can query data very freely, but Immuta ensures they only see the data they are authorized to see, helping maintain security and compliance without slowing down daily work.
What is most valuable?
Immuta's best features include dynamic data access control, fine-grained access, fine-grained policies, data masking and tokenization, automated policy enforcement, audit and compliance reporting, integration with different cloud platforms, and self-service data access.
Immuta has had a very positive impact on our organization. It helped us strengthen data security by ensuring sensitive data is only accessible to the right users. It simplified compliance by providing clear audit trails and consistent policy enforcement. It also reduced manual access management, saving time for data and security teams. Most importantly, it enables safe self-service analytics so our team can access data faster while still meeting governance and regulatory requirements.
What needs improvement?
Immuta is very helpful, but it can be improved in a few areas. The initial setup and policy design can be complex and require a learning curve. The user interface could be more interactive, especially for non-technical users. Policy troubleshooting and debugging could be easier with better visibility into why access was allowed or denied. Performance optimization and deeper integration with more tools could make it even better.
Additional improvements would strengthen Immuta further. The documentation and real-world examples would help teams onboard faster. More out-of-the-box policy templates could reduce setup time. Improved policy simulation and testing would help teams understand the impact of changes before applying them. Stronger alerting and monitoring features would help quickly identify access issues. Finally, more end-user training and simplified workflows would make it easier for business users to adopt.
For how long have I used the solution?
I have been using Immuta for six months.
What do I think about the scalability of the solution?
Immuta's scalability handles large volumes and many users without slowing down policy enforcement because it integrates with many cloud platforms such as Azure, Snowflake, and Databricks. It scales naturally as our data and analytics workload grow, allowing us to add more datasets, users, and policies without major performance issues, making it suitable for enterprise-level governance.
How are customer service and support?
Immuta's customer support is very good. Their team is responsive and helpful when I have questions about setups, policies, or troubleshooting. They provide good guidance during onboarding and help resolve issues within a reasonable time frame.
How would you rate customer service and support?
Which solution did I use previously and why did I switch?
Before Immuta, we used manual access control and homegrown scripts to manage data access. We switched because the old solution was time-consuming, error-prone, and hard to scale. Managing row-level or column-level security manually was very difficult, and audits were a full task. Immuta offered automated fine-grained access control, policy enforcement, and better compliance reporting, which made data governance much easier and more reliable.
What was our ROI?
We have seen a return on investment with Immuta. It reduced the time spent on manual access requests that used to take days and now happens automatically, saving many hours for data engineers and the security team. We also have fewer compliance incidents, faster time to trusted data, and lower operational overhead, all managed effortlessly. It is a best investment, and we are getting a correct return on investment with Immuta.
What's my experience with pricing, setup cost, and licensing?
My experience with the pricing, setup cost, and licensing is that Immuta's pricing and licensing are based on the scale of data, number of users, and feature tier. The cost can be high compared to basic solutions, but we found it worth the investment because it provides strong governance, automated access control, and compliance capability. The initial setup and licensing discussion required careful planning with Immuta to align the features we need with the budget. While pricing and setup cost are significant, the value it brings in security and governance made it justifiable.
Which other solutions did I evaluate?
Before choosing Immuta, we evaluated several other data governance solutions. We looked at Collibra and Alation as alternatives. While these tools offered metadata management and data cataloging, Immuta stood out because of its dynamic data access control, fine-grained access policy, and automated enforcement, which matched our security and compliance needs better than the others.
What other advice do I have?
My advice for others considering Immuta would be to plan your policies carefully. Think through roles, data sensitivity, and use cases before setup. Invest in training to ensure both technical and business users understand how to work with Immuta. Start small and scale by piloting with a few datasets and policies before rolling out enterprise-wide. Leverage support and documentation while focusing on governance goals to keep compliance, security, and self-service analytics in balance to maximize value.
Immuta is a powerful and flexible tool for data governance that really helps secure sensitive data and enforce compliance. The automation of access control and fine-grained policies saves a lot of time and reduces errors. There is a learning curve, and the initial setup takes planning, but once in place, it makes managing enterprise data much easier. I would rate this product an 8 out of 10. Overall, it is worth considering for any organization looking to balance data accessibility and strong governance.
Helps organizations unlock value from their data by providing an integrated platform for sensitive data discovery, security and access control, and data use monitoring
What is our primary use case?
Our use cases are for data access control and data access control provisioning. We also use it for roles and policies.
How has it helped my organization?
Immuta was pivotal for us in making sure that only people who should be accessing specific datasets, get access to the datasets, and to make sure that those that should not be seeing private data, get that data mask.
What is most valuable?
All features available are good.
What needs improvement?
We have had some challenges with their support when we were migrating to the cloud version. We we had some issues, and it took us several attempts to get a proper responses as part of that migration.
For how long have I used the solution?
I have been using Immuta for one and a half year.
What do I think about the stability of the solution?
The solution is highly stable. I rate the stability a ten out of ten.
What do I think about the scalability of the solution?
It is a scalable solution. Presently, hundred thirty users are using the solution. I rate the scalability an eight out of ten.
What was our ROI?
I have seen ROI as there has been Increased security and compliance.
What other advice do I have?
My advice would be to make sure that the data and security requirements of the organization are complex and sophisticated enough to call for the rollout of the tool.
There is certainly overhead to maintaining it and rolling it out and sort of there needs to be complexity to the data or data access use cases before one gets down the path of that third-party solution versus standard out of the box. I rate the overall solution an eight out of ten.
User-friendly solution that enhances efficiency in data processing while prioritizing data security
What is our primary use case?
I primarily use Immuta for data governance, employing global policies to enhance efficiency in data processing while also prioritizing data security. This method not only boosts data efficiency but also strengthens security measures. Also, I use it for scanning and simple ping functionality to monitor activities.
What is most valuable?
What I appreciate the most is its user-friendliness.
What needs improvement?
There is room for improvement in enhancing the monitoring capabilities.
For how long have I used the solution?
I have been working with it for three years.
What do I think about the stability of the solution?
In terms of stability, I would say it is generally good, and I would rate it seven out of ten. There have been occasional challenges with configuring the emulator for specific data sources and implementing access control policies. Setting up data connectors in the meter and defining data policies has also presented certain complexities. Additionally, integrating with our existing infrastructure has posed its own set of challenges.
What do I think about the scalability of the solution?
Currently, in my organization, we have a significant number of data analysts and data security analysts who rely on Immuta for their work. It is used to manage the data for over a thousand users. It provides excellent scalability capabilities and I would rate it nine out of ten.
How was the initial setup?
The initial setup was straightforward.
What about the implementation team?
The deployment process took approximately fifteen days to complete.
What other advice do I have?
I would certainly recommend this product and I would rate it eight out of ten.
Data Privacy Engineer
What do you like best about the product?
Immuta is easy to use. Also offers good reporting.
What do you dislike about the product?
Trouble shooting can get a bit complicated.
What problems is the product solving and how is that benefiting you?
Helping keep our PII information masked.
Enhancing our Cloud Data Security with Immuta
What do you like best about the product?
User-friendly UI, ease of integrating to Databricks and pushing policy, ease of creating policies to restrict all data in a centralized location
What do you dislike about the product?
Databricks implementation was not as smooth as something like Snowflake. Must use Kubernetes as the platform environment or else there's sizeable performance issues.
What problems is the product solving and how is that benefiting you?
Immuta allows us to implement a robust data access framework in an easy-to-use way. We can manage all data securely and at scale.
Immuta works for ABAC
What do you like best about the product?
Easy to manage ABAC. Policy as code is crusial to our implementation.
What do you dislike about the product?
The config and set up of the helm chart does have some tricky bits and gaps. There are some things that have to be done via the UI which is a shame. The requirement for SCIM is also something we have to work around.
What problems is the product solving and how is that benefiting you?
ABAC in a large enterprise with the strictest of compliance regimes.
Excellent Data securities & Permissions to add or remove user access effectively!
What do you like best about the product?
The column detection feature is a pretty cool functionality that I came across and was the best functionality I have been looking for for so long.
This functionality helped me to create New Data sources, which are value-added!!
What do you dislike about the product?
Under the data dictionary, some default tags are being applied as automatically. The rest of other functionalities are fine. Expecting UI can be improved in the upcoming days. Every time we need to enter the warehouse, DB and server details while creating Data sources often, this can be autosaved, which can reduce manual interventions
What problems is the product solving and how is that benefiting you?
Built-in feature column detection dramatically helps a lot!!
After creating a single policy, governance is automatically applied to thousands of columns with sensitive data. This can be archive by auto tag enable option disabling function.
A data governance tool to access data warehouse with excellence in data bricks
What do you like best about the product?
The most helpful thing about Immuta is it's intuitive UI.it doesn't require much of a manual effort as it is automated. It provides access to warehouse tables in most granular form.
What do you dislike about the product?
It's little complex when we implement the differential privacy feature. Rest everything is awesome and very quick to use.
What problems is the product solving and how is that benefiting you?
Attribute based rules are helping to introduce governance policies very effectively. Sensitive data is easy to share with business users.Quick cataloguing feature is super awesome.
Immuta Review
What do you like best about the product?
The core thing I like about is that it's abilty to streamline the data access flows and approvals in a matter of time.
What do you dislike about the product?
They can focus on pricing part and can be based on the geographical locations.
What problems is the product solving and how is that benefiting you?
Previously it was a tedious task to maintain data and provide adequate controls but with immuta it has become a one stop solution as it offers all features.
Recommendations to others considering the product:
It is a wonderful platform for users who are dealing data with cloud. But has to compromise with cost but considering the features it has a good worthy of features.
Improve data access control & governance in a flash
What do you like best about the product?
Ease of use and intuitive user interface
What do you dislike about the product?
Sensitive data discovery is only possible after ingesting a data source (table). A discover and report option would be great.
What problems is the product solving and how is that benefiting you?
Governance is applied to thousands of columns with sensitive data automatically after the creation of a single policy.
