Databases · head to head
Immuta vs Jitsu

Immuta
Databases
Attribute-based access control and masking applied inside Snowflake, Databricks and BigQuery
- From
- On request
- Free plan
- No

Jitsu
Developer Tools
Open source event pipeline that streams behavioural data to your own warehouse
- From
- Free
- Free plan
- Yes
The short version
- Jitsu is an MIT-licensed alternative to Segment.
- Jitsu starts at $99/mo; Immuta prices on request.
- Only Immuta lists attribute-based policy; only Jitsu lists event collection.
- Prices and features on this page were last checked on 31 August 2026.
Where they differ
Only the attributes on which Immuta and Jitsu actually diverge.
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 Jitsu
- Event collection
- Warehouse destinations
- Connector syncs
- Transformations
- Bundled ClickHouse
- Event debugger
- Self-hosting
- Custom domains
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 Jitsu
- A healthcare analytics team that must let researchers query patient data with identifiers masked unless a specific purpose is recordednot Jitsu
- A multinational applying different residency and access rules per jurisdiction to the same tables without duplicating datasetsnot Jitsu
- An organisation running both Snowflake and Databricks that wants one policy set rather than two divergent implementationsnot Jitsu
Jitsu
- A team paying five figures a year to a customer data platform when all it actually does is send events to Snowflakenot Immuta
- An engineering group that needs event collection running inside its own VPC for data residency or security review reasonsnot Immuta
- A product analytics setup that wants raw events in the warehouse as the source of truth rather than trapped in a vendor toolnot Immuta
- A startup that needs first-party event collection on its own domain to reduce loss from tracker blocking without paying CDP pricesnot 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
Jitsu
- Jitsu is a pipeline, not a customer data platform, so identity resolution, audience building and reverse ETL are absent and a marketing team expecting Segment parity will be disappointed
- Connector sync frequency is deliberately tiered, with the free plan limited to manual runs and one daily sync, so anything approaching operational freshness requires the paid plan or self-hosting
- Self-hosting means you own the reliability of a system that drops data silently when misconfigured, and event loss is uniquely hard to notice because nothing errors, the numbers are just quietly lower
- The connector catalogue is far smaller than Fivetran or Airbyte, so if your requirement is pulling from many SaaS sources rather than pushing events, Jitsu is the wrong half of the problem
- It is a small company with a small commercial team, so enterprise procurement processes around security review, contractual SLAs and support escalation take longer than with an incumbent vendor
Pricing, plan by plan
Immuta
On request- Immuta PlatformOn request
- Attribute-based policy authoring
- Native enforcement in supported data platforms
- Dynamic masking and row-level security
Jitsu
Free- Open SourceFree
- MIT licence
- Self-host on any cloud
- No usage limits
- Cloud FreeFree
- Unlimited captured events
- 200,000 active events per month
- Manual connector runs only
- Business$99/mo
- 2,000,000 active events per month
- $40 per additional million events
- Hourly connector sync frequency
- EnterpriseOn request
- Custom event volume
- One minute sync frequency
- Unlimited active syncs
Which should you pick?
Choose Immuta if
- You need attribute-based policy.
- You work on Web, API.
- You also want native enforcement.
Choose Jitsu if
- You need event collection.
- You want to start without paying.
- You work on Web, Linux, Self-hosted, iOS, Android.
- You also want warehouse destinations.
Questions people ask
- Is Immuta or Jitsu better?
- Neither clearly leads. Immuta starts at On request and Jitsu at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Immuta or Jitsu?
- Jitsu has a free tier; the other does not. Paid plans start at On request for Immuta and Free for Jitsu.
- Does Immuta or Jitsu run on more platforms?
- Immuta runs on Web, API. Jitsu runs on Web, Linux, Self-hosted, iOS, Android.
- Can I use Jitsu for free?
- Yes. Jitsu 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 Jitsu is typically brought in for.
- What can Immuta do that Jitsu cannot?
- Immuta covers Attribute-based policy, Native enforcement, Dynamic masking, Row-level filtering. Jitsu covers Event collection, Warehouse destinations, Connector syncs, Transformations.
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.
Jitsu: Is Jitsu the same as Jitsi?
No. Jitsu is an open source event data pipeline. Jitsi is an unrelated video conferencing project.
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.
Jitsu: Can I self-host for free?
Yes. The project is MIT licensed with no usage limits when self-hosted.
Immuta: Is Immuta still independent?
Yes. It remains independently owned, unlike several competitors in data access governance that have been acquired.
Jitsu: How does the cost compare with Segment?
The Business plan is 99 US dollars a month for two million active events, where a per-tracked-user CDP typically costs orders of magnitude more at comparable volume.
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.
Jitsu: Does Jitsu do identity resolution?
No. It transports and transforms events; identity stitching and audiences are not part of the product.
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