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Databases · head to head

Privacera vs Qdrant

Privacera logo

Privacera

Databases

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

From
On request
Rated
-
Full reviewWebsite
Qdrant logo

Qdrant

Databases

High-performance vector database for similarity search and embedding-based retrieval

From
Free
Rated
-
Full reviewWebsite

The short version

  • Only Qdrant has a free tier, so it costs nothing to try first.
  • Each has a real cost: 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.; Qdrant free tier extremely limited (0.5 vCPU, 1GB RAM, 4GB disk); suitable only for experiments
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which Privacera and Qdrant actually diverge.

Attributes where Privacera and Qdrant differ
AttributePrivaceraQdrant
Starting priceOn requestFree
Pricing modelquotefreemium
Free tierNoYes
PlatformsWeb, LinuxCloud (AWS, GCP, Azure), Kubernetes, Self-hosted, Edge (beta), Serverless (coming)

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 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 Qdrant

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 Qdrant
  • A bank that must produce a single access audit across its analytics estate for a regulator without stitching together per-engine logsnot Qdrant
  • 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 Qdrant
  • 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 Qdrant

Qdrant

  • Retrieval-augmented generation (RAG) backends for LLM applicationsnot Privacera
  • Semantic search across large document corporanot Privacera
  • Multimodal retrieval (text, images, video) for recommendation systemsnot Privacera
  • Similarity-based product or content recommendationsnot Privacera
  • Real-time vector indexing for streaming embedding datanot 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.

Qdrant

  • Free tier extremely limited (0.5 vCPU, 1GB RAM, 4GB disk); suitable only for experiments
  • Standard and Premium pricing usage-based; specific costs not published; requires calculator or quote
  • Requires understanding of embeddings and vector search concepts; not suitable for SQL-only teams
  • Early-stage serverless offering (coming soon) suggests maturity gaps in that deployment model

Pricing, plan by plan

Privacera

On request
  • Privacera Platform$undefined/year
    • 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

Qdrant

Free
  • FreeFree
    • Single-node cluster
    • 0.5 vCPU
    • 1GB RAM
  • Standard$undefined/usage-based
    • Dedicated resources
    • Flexible scaling
    • High availability
  • Premium$undefined/minimum spend
    • SSO and SAML
    • Private VPC links
    • 99.9% uptime SLA

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 Qdrant if

  • You want to start without paying.
  • You work on Cloud (AWS, GCP, Azure), Kubernetes, Self-hosted, Edge (beta), Serverless (coming).
Qdrant review

Questions people ask

Is Privacera or Qdrant better?
Neither clearly leads. Privacera starts at On request and Qdrant at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Privacera or Qdrant?
Qdrant has a free tier; the other does not. Paid plans start at On request for Privacera and Free for Qdrant.
Does Privacera or Qdrant run on more platforms?
Privacera runs on Web, Linux. Qdrant runs on Cloud (AWS, GCP, Azure), Kubernetes, Self-hosted, Edge (beta), Serverless (coming).
Can I use Qdrant for free?
Yes. Qdrant has a free tier, so you can try it without paying. Privacera starts at On request.
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 Qdrant is typically brought in for.
What can Privacera do that Qdrant 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.

Qdrant: Can I use Qdrant for free?

Yes, Qdrant offers a free tier that provides a single node cluster with 0.5 vCPU, 1GB RAM, and 4GB disk space. It includes free cloud inference with selected models and is described as free forever for testing and prototypes.

Source
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.

Qdrant: How is Qdrant Cloud billing calculated?

Billing is calculated based on actual resource usage during each billing period. You are charged hourly for compute (vCPU), memory (GB), storage (GB), backups, and any paid inference tokens used.

Source
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.

Qdrant: What happens if I scale beyond the free tier?

The Standard Tier uses the same usage-based billing model as the free tier but adds features like dedicated resources with flexible scaling, highly available setups with backup and disaster recovery, and a 99.5% uptime SLA.

Source
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.

Qdrant: What SLA does Qdrant offer?

The Standard Tier provides 99.5% uptime SLA. The Premium Tier, which requires a minimum spend for enterprises, offers 99.9% uptime SLA along with single sign-on and private VPC links.

Source
Qdrant: Are there dedicated cloud infrastructure options?

Yes, Qdrant offers Hybrid Cloud (runs on your infrastructure) and Private Cloud (complete isolation) options, both with custom pricing that requires contacting the sales team.

Source
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