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Cody vs LanceDB

Cody logo

Cody

Developer Tools

AI coding assistant powered by code search

From
Free
Free plan
Yes
Visit CodyFull 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

  • LanceDB is a library, not a server.
  • Cody is free; LanceDB prices on request.
  • Where Cody falls short: sourcegraph now publishes a single Enterprise plan starting at $16K, with no free or individual Pro tier listed on the pricing page.
  • Prices and features on this page were last checked on 13 November 2026.

Where they differ

Only the attributes on which Cody and LanceDB actually diverge.

Attributes where Cody and LanceDB differ
AttributeCodyLanceDB
Starting priceFreeOn request
Pricing modelFreemiumQuote
Free tierYesNo
CategoryDeveloper ToolsDatabases

Identical on both: platforms (Web).

Not yet recorded: founded for LanceDB.

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 Cody

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.

Cody

  • Code completion and intelligent autocomplete in IDEsnot LanceDB
  • Developer chat with codebase context awarenessnot LanceDB
  • Automated debugging and error identificationnot LanceDB
  • Customizable prompts for workflow automationnot 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 Cody
  • A training and retrieval pipeline that must read the same rows for both purposes without maintaining two copies and a sync jobnot Cody
  • Prototyping search locally with the same code path that later runs against S3, with no local server to installnot Cody
  • Keeping a large, mostly cold vector corpus on object storage rather than paying to hold it in memory in a conventional vector databasenot Cody

Where each one falls short

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

Cody

  • Sourcegraph now publishes a single Enterprise plan starting at $16K, with no free or individual Pro tier listed on the pricing page
  • sourcegraph.com/cody redirects to the documentation rather than a Cody product or pricing page
  • AI features are metered as credits included per user, and exceeding the allocation requires buying a higher volume bucket
  • Volume credit buckets are sold as an add-on rather than included
  • A customer success manager and premium support are optional paid extras on top of the Enterprise plan
  • Standard support is 24x5 rather than 24x7, with round-the-clock coverage sold as an upgrade
  • The published $16K figure is a starting price that scales with team size, so the actual cost is quoted rather than listed

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

Cody

Free

No published plan breakdown. See the Cody review.

LanceDB

On request

No published plan breakdown. See the LanceDB review.

Which should you pick?

Choose Cody if

  • You want to start without paying.
Cody review

Choose LanceDB if

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

Questions people ask

Is Cody or LanceDB better?
Neither clearly leads. Cody 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, Cody or LanceDB?
Cody has a free tier; the other does not. Paid plans start at Free for Cody and On request for LanceDB.
Does Cody or LanceDB run on more platforms?
Both run on Web, so platform support will not decide this one for you.
Can I use Cody for free?
Yes. Cody has a free tier, so you can try it without paying. LanceDB starts at On request.
What is Cody best used for?
Cody is most often used for code completion and intelligent autocomplete in ides, developer chat with codebase context awareness, automated debugging and error identification, customizable prompts for workflow automation. Of those, code completion and intelligent autocomplete in ides and developer chat with codebase context awareness are not what LanceDB is typically brought in for.
What can Cody do that LanceDB cannot?
LanceDB covers Embedded operation, Lance columnar format, Object storage native, Multimodal storage.

Answered from the vendors’ own pages

Cody: Is Cody free?

Cody offers a free tier for individual developers via VS Code, JetBrains, Visual Studio, and the web app. Unlimited free usage is available for solo developers.

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.

Cody: What does Cody Enterprise cost?

Cody Enterprise pricing is custom and requires contacting Sourcegraph sales. It is available for Sourcegraph Enterprise customers and must be quoted based on your deployment and usage needs.

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.

Cody: What LLMs does Cody use?

Cody uses the latest large language models for code completions, chat, and debugging. It leverages Sourcegraph's advanced Search API to pull codebase context from local and remote repositories.

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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