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Databases · head to head

Immuta vs Valkey

Immuta logo

Immuta

Databases

Attribute-based access control and masking applied inside Snowflake, Databricks and BigQuery

From
On request
Rated
-
Full reviewWebsite
Valkey logo

Valkey

Databases

Open-source in-memory data store forked from Redis

From
Free
Rated
-
Full reviewWebsite

The short version

  • Only Valkey 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.; Valkey younger project, so its track record is short even though the codebase is not
  • They diverge on capability: Immuta covers Attribute-based policy, Valkey covers Redis-compatible.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which Immuta and Valkey actually diverge.

Attributes where Immuta and Valkey differ
AttributeImmutaValkey
Starting priceOn requestFree
Pricing modelquoteOpen source, no licence fee; managed cloud billed separately
Free tierNoYes
PlatformsWeb, API, CloudLinux, macOS, Docker, Self-hosted

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 Valkey

  • Redis-compatible
  • BSD licensed
  • Rich data structures
  • Replication and persistence

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 Valkey
  • A healthcare analytics team that must let researchers query patient data with identifiers masked unless a specific purpose is recordednot Valkey
  • A multinational applying different residency and access rules per jurisdiction to the same tables without duplicating datasetsnot Valkey
  • An organisation running both Snowflake and Databricks that wants one policy set rather than two divergent implementationsnot Valkey

Valkey

  • Continuing on a permissively licensed in-memory store after the Redis licence changenot Immuta
  • Caching and session storage where a foundation-governed project is a procurement requirementnot Immuta
  • Migrating from Redis without rewriting application codenot 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.

Valkey

  • Younger project, so its track record is short even though the codebase is not
  • Divergence from Redis grows over time, so compatibility is strongest near the fork point and weakens as both evolve
  • Ecosystem tooling and documentation still frequently assume Redis, leaving translation work

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

Valkey

Free
  • ValkeyFree
    • Full functionality
    • Self-hosted
    • No usage limits

Which should you pick?

Choose Immuta if

  • You need attribute-based policy.
  • You work on Web, API, Cloud.
  • You also want native enforcement.
Immuta review

Choose Valkey if

  • You need redis-compatible.
  • You want to start without paying.
  • You work on Linux, macOS, Docker, Self-hosted.
  • You also want bsd licensed.
Valkey review

Questions people ask

Is Immuta or Valkey better?
Neither clearly leads. Immuta starts at On request and Valkey at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Immuta or Valkey?
Valkey has a free tier; the other does not. Paid plans start at On request for Immuta and Free for Valkey.
Does Immuta or Valkey run on more platforms?
Immuta runs on Web, API, Cloud. Valkey runs on Linux, macOS, Docker, Self-hosted.
Can I use Valkey for free?
Yes. Valkey 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 Valkey is typically brought in for.
What can Immuta do that Valkey cannot?
Immuta covers Attribute-based policy, Native enforcement, Dynamic masking, Row-level filtering. Valkey covers Redis-compatible, BSD licensed, Rich data structures, Replication and persistence.

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.

Valkey: Is Valkey free?

Yes, BSD-licensed open source under the Linux Foundation.

Immuta: 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.

Valkey: Why does Valkey exist?

Redis changed its licence away from BSD in 2024. Valkey is the community fork continuing under permissive terms, backed by AWS, Google Cloud and Oracle among others.

Immuta: Is Immuta still independent?

Yes. It remains independently owned, unlike several competitors in data access governance that have been acquired.

Valkey: Can I switch from Redis to Valkey?

At the fork point it is drop-in compatible with existing clients and data. The further both projects move from that point, the more you should verify the specific features you use.

Immuta: 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.

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