Databases · head to head
Immuta vs YugabyteDB

Immuta
Databases
Attribute-based access control and masking applied inside Snowflake, Databricks and BigQuery
- From
- On request
- Rated
- -

YugabyteDB
Databases
Open source distributed SQL database for cloud native apps
- From
- Free
- Rated
- -
The short version
- Only YugabyteDB has a free tier, so it costs nothing to try first.
- Each has a real cost: Immuta contracts commonly start around one hundred to two hundred thousand US dollars a year for mid-market deployments and exceed five hundred thousand at enterprise scale, which excludes most data teams without a regulatory mandate.; YugabyteDB missing PostgreSQL functions and extensions despite claiming compatibility
- They diverge on capability: Immuta covers Attribute-based policy, YugabyteDB covers PostgreSQL Compatible.
- Prices and features above were last checked on 31 August 2026.
Where they differ
Only the attributes on which Immuta and YugabyteDB actually diverge.
| Attribute | Immuta | YugabyteDB |
|---|---|---|
| Starting price | On request | Free |
| Pricing model | quote | Unknown |
| Free tier | No | Yes |
| Platforms | Web, API, Cloud | Cloud, On-premises, Kubernetes |
| Founded | Unknown | 2016 |
Identical on both: user rating (Not yet rated), category (Databases).
What each one covers
Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.
Only in Immuta
- Attribute-based policy
- Native enforcement
- Dynamic masking
- Row-level filtering
- Purpose-based access
- Sensitive data tagging
- Audit logging
- Multi-platform
Only in YugabyteDB
- PostgreSQL Compatible
- Distributed SQL
- Geo-distribution
- Linear Scalability
- High Availability
- ACID Transactions
- CDC Support
- PostgreSQL
What people use each for
The jobs each tool is most often brought in to do.
Immuta
- A bank whose Snowflake estate has grown to tens of thousands of roles that no one can review before an auditnot YugabyteDB
- A healthcare analytics team that must let researchers query patient data with identifiers masked unless a specific purpose is recordednot YugabyteDB
- A multinational applying different residency and access rules per jurisdiction to the same tables without duplicating datasetsnot YugabyteDB
- An organisation running both Snowflake and Databricks that wants one policy set rather than two divergent implementationsnot YugabyteDB
YugabyteDB
- Transaction processingnot Immuta
- Data storagenot Immuta
- Application backendnot Immuta
- Reportingnot Immuta
- Data analyticsnot Immuta
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Immuta
- Contracts commonly start around one hundred to two hundred thousand US dollars a year for mid-market deployments and exceed five hundred thousand at enterprise scale, which excludes most data teams without a regulatory mandate.
- Policy is only as good as the data classification underneath it, so an organisation with poorly tagged columns will spend months on classification before Immuta enforces anything useful.
- Native enforcement means capability varies by platform, and a feature available on Snowflake may be absent or behave differently on BigQuery, which undermines the promise of one policy set everywhere.
- Adding an access governance layer creates a new dependency in the path to data: a misconfigured policy silently returns fewer rows rather than erroring, and analysts can act on incomplete results without noticing.
- It governs cloud data platforms, so personal data in operational databases, files and SaaS applications sits outside its scope and needs separate controls, meaning Immuta is rarely the whole answer.
YugabyteDB
- Missing PostgreSQL functions and extensions despite claiming compatibility
- Not a true PostgreSQL replacement requiring schema and query compatibility testing before migration
- Requires careful isolation level management or risk data corruption in production
- Lacks built-in OLAP capabilities, requiring external systems for analytics
- Coupled compute and storage scaling reduces optimization flexibility
Pricing, plan by plan
Immuta
On request- Immuta Platform$undefined/year
- Attribute-based policy authoring
- Native enforcement in supported data platforms
- Dynamic masking and row-level security
YugabyteDB
FreeNo published plan breakdown. See the YugabyteDB review.
Which should you pick?
Choose Immuta if
- You need attribute-based policy.
- You work on Web, API, Cloud.
- You also want native enforcement.
Choose YugabyteDB if
- You need postgresql compatible.
- You want to start without paying.
- You work on Cloud, On-premises, Kubernetes.
- You also want distributed sql.
Questions people ask
- Is Immuta or YugabyteDB better?
- Neither clearly leads. Immuta starts at On request and YugabyteDB at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Immuta or YugabyteDB?
- YugabyteDB has a free tier; the other does not. Paid plans start at On request for Immuta and Free for YugabyteDB.
- Does Immuta or YugabyteDB run on more platforms?
- Immuta runs on Web, API, Cloud. YugabyteDB runs on Cloud, On-premises, Kubernetes.
- Can I use YugabyteDB for free?
- Yes. YugabyteDB has a free tier, so you can try it without paying. Immuta starts at On request.
- What is Immuta best used for?
- Immuta is most often used for a bank whose snowflake estate has grown to tens of thousands of roles that no one can review before an audit, a healthcare analytics team that must let researchers query patient data with identifiers masked unless a specific purpose is recorded, a multinational applying different residency and access rules per jurisdiction to the same tables without duplicating datasets, an organisation running both snowflake and databricks that wants one policy set rather than two divergent implementations. Of those, a bank whose snowflake estate has grown to tens of thousands of roles that no one can review before an audit and a healthcare analytics team that must let researchers query patient data with identifiers masked unless a specific purpose is recorded are not what YugabyteDB is typically brought in for.
- What can Immuta do that YugabyteDB cannot?
- Immuta covers Attribute-based policy, Native enforcement, Dynamic masking, Row-level filtering. YugabyteDB covers PostgreSQL Compatible, Distributed SQL, Geo-distribution, Linear Scalability.
Answered from the vendors’ own pages
Immuta: Does Immuta sit in the query path?
No. It compiles policies into the data platform's own native controls, so queries run at normal speed through your existing tools.
YugabyteDB: Is YugabyteDB a true drop-in replacement for PostgreSQL?
No, YugabyteDB is PostgreSQL-compatible but not a zero-change drop-in replacement. It requires compatibility testing with queries, stored procedures, and ORM configurations before migration.
SourceImmuta: What does it cost?
Not published. Market data suggests roughly 100,000 to 200,000 US dollars a year for mid-market deployments and considerably more at enterprise scale.
YugabyteDB: What isolation levels does YugabyteDB support?
YugabyteDB allows per-query selection between serializable isolation for critical operations and read-committed for analytics. However, this flexibility requires careful management to avoid accidental data corruption.
SourceImmuta: Is Immuta still independent?
Yes. It remains independently owned, unlike several competitors in data access governance that have been acquired.
YugabyteDB: Does YugabyteDB support both SQL and NoSQL workloads?
Yes, YugabyteDB offers YSQL for PostgreSQL-compatible SQL and YCQL for Cassandra-like NoSQL workloads, using the same DocDB storage engine to support both simultaneously.
SourceImmuta: Does it work across more than one warehouse?
Yes, one policy set can target Snowflake, Databricks, BigQuery and Starburst, though enforcement capability varies by platform.
YugabyteDB: Can YugabyteDB scale compute and storage independently?
No, YugabyteDB couples compute and storage scaling, unlike TiDB which separates them. This means scaling decisions are less flexible and optimization is more complex.
SourceRelated pages
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