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Keycloak vs LanceDB

Keycloak logo

Keycloak

Developer Tools

Open-source identity and access management server.

From
Free
Free plan
Yes
Visit KeycloakFull review
LanceDB logo

LanceDB

Databases

Embedded retrieval library over the Apache 2.0 Lance columnar format, with proprietary Cloud and Enterprise tiers for serving at scale.

From
On request
Free plan
No
Visit LanceDBFull review

The short version

  • Keycloak is an open-source IAM platform supporting OpenID Connect, OAuth 2; LanceDB is a library, not a server.
  • Keycloak is free; LanceDB prices on request.
  • Where Keycloak falls short: requires self-hosted deployment and operational expertise to install, configure and maintain.
  • Prices and features on this page were last checked on 13 November 2026.

Where they differ

Only the attributes on which Keycloak and LanceDB actually diverge.

Attributes where Keycloak and LanceDB differ
AttributeKeycloakLanceDB
Starting priceFreeOn request
Pricing modelOpen-sourceQuote
Free tierYesNo
PlatformsSelf-hosted, Linux, Windows, APIWeb
CategoryDeveloper ToolsDatabases

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 Keycloak

Nothing recorded that LanceDB does not also cover.

Only in LanceDB

  • Embedded operation
  • Lance columnar format
  • Object storage native
  • Multimodal storage
  • Vector indexes
  • Full-text and hybrid search
  • Scalar filtering
  • Dataset versioning

What people use each for

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

Keycloak

  • Organisations requiring self-hosted identity infrastructure for compliance or data residencynot LanceDB
  • Companies with existing LDAP/Active Directory systems needing federated authenticationnot LanceDB
  • Open-source projects and communities requiring free IAM without licensing costsnot LanceDB
  • Enterprises building custom identity workflows requiring fine-grained authorisationnot LanceDB
  • Teams with sufficient operational expertise to manage infrastructurenot LanceDB

LanceDB

  • Retrieval over a dataset that includes images, audio or video, where keeping the embeddings and the source media in one format avoids a second storage systemnot Keycloak
  • A training and retrieval pipeline that must read the same rows for both purposes without maintaining two copies and a sync jobnot Keycloak
  • Prototyping search locally with the same code path that later runs against S3, with no local server to installnot Keycloak
  • Keeping a large, mostly cold vector corpus on object storage rather than paying to hold it in memory in a conventional vector databasenot Keycloak

Where each one falls short

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

Keycloak

  • Requires self-hosted deployment and operational expertise to install, configure and maintain
  • No managed cloud option provided by Red Hat; organisations must operate infrastructure themselves or use third-party distributions
  • Clustering and high-availability configurations require additional operational knowledge
  • Community support only; commercial support requires third-party vendors or distributions

LanceDB

  • The open source build is a library with no network endpoint, authentication or tenancy model, so exposing it to more than one application means writing your own service in front of it and handing every consumer credentials to the bucket
  • Queries that miss the cache pay object storage round trips, so interactive latency depends on local SSD caching or the Enterprise serving tier rather than on the library itself
  • Concurrent writers to the same dataset coordinate through commits on the object store, so multi-writer setups can conflict and the safe pattern is a single writer per table, which is an architectural constraint on your ingest design
  • Newly written rows are not in the index until the index is rebuilt or updated, and until then they are searched by brute force, so recall and latency drift between reindexing jobs that you have to schedule and pay for
  • The capabilities that make it operable at scale, distributed index building, managed caching and hosted serving, live in the proprietary Cloud and Enterprise tiers, so the open licence protects the data but not the production deployment

Pricing, plan by plan

Keycloak

Free
  • Open-sourceFree
    • Full platform functionality
    • Self-hosted deployment
    • Community support

LanceDB

On request

No published plan breakdown. See the LanceDB review.

Which should you pick?

Choose Keycloak if

  • You want to start without paying.
  • You work on Self-hosted, Linux, Windows, API.
Keycloak review

Choose LanceDB if

  • You need embedded operation.
  • You also want lance columnar format.
LanceDB review

Questions people ask

Is Keycloak or LanceDB better?
Neither clearly leads. Keycloak starts at Free and LanceDB at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Keycloak or LanceDB?
Keycloak has a free tier; the other does not. Paid plans start at Free for Keycloak and On request for LanceDB.
Does Keycloak or LanceDB run on more platforms?
Keycloak runs on Self-hosted, Linux, Windows, API. LanceDB runs on Web.
Can I use Keycloak for free?
Yes. Keycloak has a free tier, so you can try it without paying. LanceDB starts at On request.
What is Keycloak best used for?
Keycloak is most often used for organisations requiring self-hosted identity infrastructure for compliance or data residency, companies with existing ldap/active directory systems needing federated authentication, open-source projects and communities requiring free iam without licensing costs, enterprises building custom identity workflows requiring fine-grained authorisation. Of those, organisations requiring self-hosted identity infrastructure for compliance or data residency and companies with existing ldap/active directory systems needing federated authentication are not what LanceDB is typically brought in for.
What can Keycloak do that LanceDB cannot?
LanceDB covers Embedded operation, Lance columnar format, Object storage native, Multimodal storage.

Answered from the vendors’ own pages

Keycloak: What protocols does Keycloak support?

Keycloak supports OpenID Connect, OAuth 2.0 and SAML 2.0 protocols for authentication and authorisation.

Source
LanceDB: Is LanceDB open source?

The LanceDB library and the underlying Lance format are Apache 2.0. LanceDB Cloud and LanceDB Enterprise are proprietary managed products built on top of them.

Keycloak: Can Keycloak integrate with existing user directories?

Yes. Keycloak supports user federation with LDAP and Active Directory systems, allowing organisations to leverage existing user directories.

Source
LanceDB: Do I need the managed service?

Not for development or for embedded use in a single application. You typically need it when many clients must query concurrently with predictable latency, or when index builds outgrow one machine.

Keycloak: Is Keycloak free?

Yes. Keycloak is fully open-source and free to deploy and use. No licensing fees are required.

Source
LanceDB: Can other tools read my data?

Yes. Lance datasets are readable from DuckDB, Polars, Pandas, PyArrow and PyTorch, which is the main practical difference from a vector database that owns its own storage.

LanceDB: How does it compare to pgvector?

pgvector keeps vectors next to relational data in a database you already run. LanceDB keeps them in object storage in a format built for random access and multimodal payloads, and scales storage independently of any server.

LanceDB: What happens to updates and deletes?

Writes append new fragments and mark old rows deleted, with compaction reclaiming space later, so a workload with heavy in-place updates accumulates overhead until compaction runs.

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