Databases · head to head
Immuta vs Pinecone

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

Pinecone
Machine Learning
Vector database for machine learning
- From
- Free
- Free plan
- Yes
The short version
- Pinecone is a fully managed vector database.
- Pinecone starts at $20/mo; Immuta prices on request.
- Only Immuta lists attribute-based policy; only Pinecone lists vector similarity search.
- Where Pinecone falls short: unit prices vary by region, so the same workload costs different amounts in different places.
- Prices and features on this page were last checked on 13 November 2026.
Where they differ
Only the attributes on which Immuta and Pinecone actually diverge.
Not yet recorded: founded for Immuta.
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 Pinecone
- Vector similarity search
- Metadata filtering
- Namespace partitioning
- Real-time updates
- Hybrid search
- OpenAI
- Cohere
- LangChain
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 Pinecone
- A healthcare analytics team that must let researchers query patient data with identifiers masked unless a specific purpose is recordednot Pinecone
- A multinational applying different residency and access rules per jurisdiction to the same tables without duplicating datasetsnot Pinecone
- An organisation running both Snowflake and Databricks that wants one policy set rather than two divergent implementationsnot Pinecone
Pinecone
- Vector database for AI/ML applicationsnot Immuta
- Semantic search implementationnot Immuta
- Recommendation systemsnot Immuta
- RAG (Retrieval-Augmented Generation) architecturesnot 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
Pinecone
- Reads and writes are billed on separate meters, and reads are far more expensive, at $16 to $18 per million against $4 to $4.50 for writes on Standard
- Unit prices vary by region, so the same workload costs different amounts in different places
- The Standard plan carries a $50 monthly minimum and Enterprise $500, charged whether or not the usage reaches it
- Enterprise pays more per unit as well as more in minimum, at $24 to $27 per million reads against Standard's $16 to $18
- Indexes and namespaces are capped by plan, at 5 indexes on the free tier and 20 on Standard
- RBAC and SSO require the Standard plan
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
Pinecone
Free- StarterFree
- 2GB storage
- 2M write units/month
- 1M read units/month
- Builder$20/mo
- 10GB storage
- 5M write units
- 2M read units
- Standard$50/mo
- Unlimited storage ($0.33/GB/month)
- 20 indexes per project
- 100K namespaces
- Enterprise$500/mo
- 99.95% uptime SLA
- BYOC (Bring Your Own Cloud) option
- Private endpoints
Which should you pick?
Choose Immuta if
- You need attribute-based policy.
- You work on Web, API.
- You also want native enforcement.
Choose Pinecone if
- You need vector similarity search.
- You want to start without paying.
- You also want metadata filtering.
Questions people ask
- Is Immuta or Pinecone better?
- Neither clearly leads. Immuta starts at On request and Pinecone at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Immuta or Pinecone?
- Pinecone has a free tier; the other does not. Paid plans start at On request for Immuta and Free for Pinecone.
- Does Immuta or Pinecone run on more platforms?
- Immuta runs on Web, API. Pinecone runs on Web.
- Can I use Pinecone for free?
- Yes. Pinecone 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 Pinecone is typically brought in for.
- What can Immuta do that Pinecone cannot?
- Immuta covers Attribute-based policy, Native enforcement, Dynamic masking, Row-level filtering. Pinecone covers Vector similarity search, Metadata filtering, Namespace partitioning, Real-time updates.
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.
Pinecone: Does Pinecone offer a free plan?
Yes, Pinecone's Starter tier is free and includes 2GB storage, 2M write units/month, 1M read units/month, and supports up to 2 users and 1 project.
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.
Pinecone: What are Pinecone's storage costs on the Standard plan?
On the Standard plan, storage costs $0.33/GB per month. Read units cost $16-18 per million units; write units cost $4-4.50 per million units.
SourceImmuta: Is Immuta still independent?
Yes. It remains independently owned, unlike several competitors in data access governance that have been acquired.
Pinecone: What support options does Pinecone provide?
Starter tier includes community Discord support. Builder tier includes free support. Standard tier support costs $29/month for Developer or $250/month for Pro. Enterprise tier includes Pro support.
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.
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