Developer Tools · head to head
Helm vs LanceDB

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
The short version
- Helm is a Kubernetes package manager, licensed Apache 2; LanceDB is a library, not a server.
- Helm is free; LanceDB prices on request.
- Prices and features on this page were last checked on 13 November 2026.
Where they differ
Only the attributes on which Helm and LanceDB actually diverge.
Identical on both: platforms (Web).
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 Helm
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.
Helm
- Kubernetes package manager and deployment toolnot 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 Helm
- A training and retrieval pipeline that must read the same rows for both purposes without maintaining two copies and a sync jobnot Helm
- Prototyping search locally with the same code path that later runs against S3, with no local server to installnot Helm
- Keeping a large, mostly cold vector corpus on object storage rather than paying to hold it in memory in a conventional vector databasenot Helm
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Helm
- Contributors must sign commits under the Developer Certificate of Origin to have them accepted, per helm.sh, a process requirement not all Kubernetes tools impose
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
Helm
FreeNo published plan breakdown. See the Helm review.
LanceDB
On requestNo published plan breakdown. See the LanceDB review.
Which should you pick?
Questions people ask
- Is Helm or LanceDB better?
- Neither clearly leads. Helm 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, Helm or LanceDB?
- Helm has a free tier; the other does not. Paid plans start at Free for Helm and On request for LanceDB.
- Does Helm or LanceDB run on more platforms?
- Both run on Web, so platform support will not decide this one for you.
- Can I use Helm for free?
- Yes. Helm has a free tier, so you can try it without paying. LanceDB starts at On request.
- What is Helm best used for?
- Helm is most often used for kubernetes package manager and deployment tool. Of those, kubernetes package manager and deployment tool is not what LanceDB is typically brought in for.
- What can Helm do that LanceDB cannot?
- LanceDB covers Embedded operation, Lance columnar format, Object storage native, Multimodal storage.
Answered from the vendors’ own pages
Helm: How much does Helm cost?
Helm is free and open-source. It is a graduated project in the Cloud Native Computing Foundation (CNCF) with no commercial pricing model.
SourceLanceDB: 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.
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.
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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- LanceDB vs Argo CD
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- LanceDB vs pnpm
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- LanceDB vs Okteto
- LanceDB vs Docker
- LanceDB vs LaunchDarkly
- LanceDB vs Moonrepo
- LanceDB vs Nx Cloud
- LanceDB vs Pants Build
- LanceDB vs Buildkite
- LanceDB vs ESLint
- LanceDB vs GitHub
- LanceDB vs Harness
- LanceDB vs IAR Embedded Workbench
- LanceDB vs Keil MDK
- LanceDB vs Swagger UI
- LanceDB vs DuckDB
- LanceDB vs BigQuery
- LanceDB vs DynamoDB
- LanceDB vs Trino
- LanceDB vs Chroma
- LanceDB vs Convex
- LanceDB vs Dremio
- LanceDB vs Teradata
- LanceDB vs turbopuffer
- LanceDB vs Zilliz
- LanceDB vs Apache Druid
- LanceDB vs Elasticsearch
- LanceDB vs PlanetScale
- LanceDB vs Redis
- LanceDB vs Supabase
- LanceDB vs Meilisearch
- LanceDB vs Apache Pulsar
- LanceDB vs Apache Airflow
