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Databases · head to head

Privacera vs Sourcegraph

Privacera logo

Privacera

Databases

Centralised data access governance from the creators of Apache Ranger, now rebranding as Trust3 AI

From
On request
Free plan
No
Visit PrivaceraFull review
Sourcegraph logo

Sourcegraph

Developer Tools

Code search and intelligence platform for large codebases with Cody AI assistant

From
$16000/year
Free plan
No
Visit SourcegraphFull review

The short version

  • Sourcegraph is an enterprise code intelligence platform.
  • Sourcegraph starts at $16000/yr; Privacera prices on request.
  • Where Sourcegraph falls short: enterprise pricing starting at $16k annually creates significant barrier for small teams.
  • Prices and features on this page were last checked on 13 November 2026.

Where they differ

Only the attributes on which Privacera and Sourcegraph actually diverge.

Attributes where Privacera and Sourcegraph differ
AttributePrivaceraSourcegraph
Starting priceOn request$16000/year
Pricing modelQuoteSubscription
PlatformsWeb, LinuxWeb, Self-hosted
CategoryDatabasesDeveloper Tools

Identical on both: free tier (No).

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 Privacera

  • Centralised policy authoring
  • Native enforcement
  • Attribute-based access control
  • Dynamic masking and row filtering
  • Sensitive data discovery
  • Encryption and de-identification
  • Audit reporting
  • AI governance agent

Only in Sourcegraph

Nothing recorded that Privacera does not also cover.

What people use each for

The jobs each tool is most often brought in to do.

Privacera

  • An enterprise running both Databricks and Snowflake that needs one masking policy honoured identically in both rather than two sets of grants to reconcilenot Sourcegraph
  • A bank that must produce a single access audit across its analytics estate for a regulator without stitching together per-engine logsnot Sourcegraph
  • A Hadoop shop with years of Apache Ranger policies migrating to cloud analytics and wanting to carry the policy model across rather than rewrite itnot Sourcegraph
  • A team exposing governed data to LLM applications that needs the same row and column restrictions to apply when an agent queries on a user behalfnot Sourcegraph

Sourcegraph

  • Large-scale code migrations across hundreds of repositoriesnot Privacera
  • Enterprise governance and code ownership trackingnot Privacera
  • AI-assisted bug hunting and security pattern detectionnot Privacera
  • Onboarding engineers into large unfamiliar codebasesnot Privacera
  • Regulatory compliance and code audit trailsnot Privacera

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Privacera

  • The company is mid-rebrand to Trust3 AI as of March 2026, so documentation, contracts and support channels are in transition and buyers should confirm which entity and which product name their agreement actually names
  • Investment is visibly shifting towards agentic AI governance, which raises a fair question about how much engineering continues to go into the classic data access governance modules that most existing customers actually bought
  • Native enforcement depends on each engine supporting the policy constructs you need, so what you can express on Databricks may not be enforceable identically on a less capable source, and coverage must be verified source by source
  • It sits between the data platforms and their own governance features, and as Databricks Unity Catalog and Snowflake native governance mature, single-platform customers find the case for a separate layer weakening
  • Pricing is unpublished and scales with connected sources, so an organisation that keeps adding data platforms discovers the governance layer cost grows alongside the platform costs it was meant to rationalise

Sourcegraph

  • Enterprise pricing starting at $16k annually creates significant barrier for small teams
  • No free tier or standard plan published; all options require custom sales engagement
  • Complex enterprise-only positioning limits adoption compared to GitHub Copilot's pervasiveness
  • Requires indexing entire codebase; not suitable for small or ephemeral projects

Pricing, plan by plan

Privacera

On request
  • Privacera PlatformOn request
    • Quoted by connected data sources, users and deployment model
    • Self-managed and Privacera Cloud SaaS options
    • Free trial available for Privacera Cloud and Trust3 AI

Sourcegraph

$16000/year
  • Enterprise$16,000/yr
    • Scales with team size
    • Credits for AI features per user
    • Deep Search

Which should you pick?

Choose Privacera if

  • You need centralised policy authoring.
  • You work on Web, Linux.
  • You also want native enforcement.
Privacera review

Choose Sourcegraph if

  • You work on Web, Self-hosted.
Sourcegraph review

Questions people ask

Is Privacera or Sourcegraph better?
Neither clearly leads. Privacera starts at On request and Sourcegraph at $16000/year, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Privacera or Sourcegraph?
Privacera starts at On request and Sourcegraph at $16000/year.
Does Privacera or Sourcegraph run on more platforms?
Privacera runs on Web, Linux. Sourcegraph runs on Web, Self-hosted.
What is Privacera best used for?
Privacera is most often used for an enterprise running both databricks and snowflake that needs one masking policy honoured identically in both rather than two sets of grants to reconcile, a bank that must produce a single access audit across its analytics estate for a regulator without stitching together per-engine logs, a hadoop shop with years of apache ranger policies migrating to cloud analytics and wanting to carry the policy model across rather than rewrite it, a team exposing governed data to llm applications that needs the same row and column restrictions to apply when an agent queries on a user behalf. Of those, an enterprise running both databricks and snowflake that needs one masking policy honoured identically in both rather than two sets of grants to reconcile and a bank that must produce a single access audit across its analytics estate for a regulator without stitching together per-engine logs are not what Sourcegraph is typically brought in for.
What can Privacera do that Sourcegraph cannot?
Privacera covers Centralised policy authoring, Native enforcement, Attribute-based access control, Dynamic masking and row filtering.

Answered from the vendors’ own pages

Privacera: Did Privacera merge with Immuta?

No. They remain independent competitors, and Privacera still publishes comparison material against Immuta. What did happen is a rebrand to Trust3 AI announced in March 2026.

Privacera: Is it the same as Apache Ranger?

It is built on Ranger by Ranger creators, but it adds multi-engine enforcement, discovery, a managed cloud option and support. Ranger alone does not cover Snowflake or cloud storage in the same way.

Privacera: Does it slow down queries?

It pushes policy into the underlying engine rather than proxying, so query execution stays native. Policy synchronisation, not query latency, is the usual operational concern.

Privacera: What does it cost?

Not published. Quoted by connected sources, user count and whether you self-manage or use Privacera Cloud. A free trial of the cloud product is available.

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