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Databases · head to head

Knack vs LanceDB

Knack logo

Knack

Databases

Hosted no-code database and web app builder priced by stored records and storage, with unlimited user accounts on every plan.

From
$59/month
Rated
-
Full reviewWebsite
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
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Knack plans are capped by stored records, so an application that logs events or keeps history rather than current state climbs tiers on data volume alone, and archiving old records becomes a permanent maintenance chore rather than a one-off.; 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.
  • They diverge on capability: Knack covers Visual database builder, LanceDB covers Embedded operation.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Knack and LanceDB actually diverge.

Attributes where Knack and LanceDB differ
AttributeKnackLanceDB
Starting price$59/monthOn request
Pricing modelsubscriptionquote

Identical on both: free tier (No), platforms (Web), 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 Knack

  • Visual database builder
  • User logins and roles
  • Page builder
  • Unlimited users
  • E-commerce
  • Automation flows
  • Scheduled tasks
  • REST API and webhooks

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.

Knack

  • A member or client portal where thousands of external people need their own login and see only their own recordsnot LanceDB
  • Replacing a shared spreadsheet used by a team that has outgrown it but cannot justify a developer to build a bespoke internal toolnot LanceDB
  • Inventory, asset or case tracking for a small operations team that needs roles, forms and a record of who changed whatnot LanceDB
  • A registration or booking application for an association, school or non-profit where the user count is large and the record count stays modestnot 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 Knack
  • A training and retrieval pipeline that must read the same rows for both purposes without maintaining two copies and a sync jobnot Knack
  • Prototyping search locally with the same code path that later runs against S3, with no local server to installnot Knack
  • Keeping a large, mostly cold vector corpus on object storage rather than paying to hold it in memory in a conventional vector databasenot Knack

Where each one falls short

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

Knack

  • Plans are capped by stored records, so an application that logs events or keeps history rather than current state climbs tiers on data volume alone, and archiving old records becomes a permanent maintenance chore rather than a one-off.
  • API access is capped per day, at 1,000 calls on the entry plan and 10,000 at the Corporate tier, so a scheduled sync or a busy automation can exhaust the day's quota before the working day ends and integrations then fail silently.
  • The application itself cannot be exported or self-hosted; records can be downloaded but the pages, roles, flows and business logic exist only inside Knack, so outgrowing the platform means rebuilding the app rather than moving it.
  • Customisation beyond the builder is limited to injected CSS and JavaScript that Knack's support does not cover, so any non-standard interface behaviour becomes yours to maintain against a DOM the vendor can change without warning.
  • Compliance capabilities that regulated buyers assume are baseline, HIPAA and GovCloud options, advanced SSO, IP restrictions and private environments, are gated to the Corporate and Enterprise tiers, so a small regulated pilot cannot legitimately start on an entry plan.

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

Knack

$59/month
  • Starter$59/month
    • 20,000 database records
    • Unlimited users, tables, fields
    • 25 AI credits
  • Pro$130/month
    • 50,000 database records
    • Remove Knack branding
    • E-commerce payments
  • Corporate$300/month
    • 125,000-2.5M database records
    • App restore functionality
    • Advanced SSO
  • Enterprise$null/month
    • Dedicated account manager
    • HIPAA/GovCloud-based options
    • Custom pricing

LanceDB

On request

No published plan breakdown. See the LanceDB review.

Which should you pick?

Choose Knack if

  • You need visual database builder.
  • You also want user logins and roles.
Knack review

Choose LanceDB if

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

Questions people ask

Is Knack or LanceDB better?
Neither clearly leads. Knack starts at $59/month and LanceDB at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Knack or LanceDB?
Knack starts at $59/month and LanceDB at On request.
Does Knack or LanceDB run on more platforms?
Both run on Web, so platform support will not decide this one for you.
What is Knack best used for?
Knack is most often used for a member or client portal where thousands of external people need their own login and see only their own records, replacing a shared spreadsheet used by a team that has outgrown it but cannot justify a developer to build a bespoke internal tool, inventory, asset or case tracking for a small operations team that needs roles, forms and a record of who changed what, a registration or booking application for an association, school or non-profit where the user count is large and the record count stays modest. Of those, a member or client portal where thousands of external people need their own login and see only their own records and replacing a shared spreadsheet used by a team that has outgrown it but cannot justify a developer to build a bespoke internal tool are not what LanceDB is typically brought in for.
What can Knack do that LanceDB cannot?
Knack covers Visual database builder, User logins and roles, Page builder, Unlimited users. LanceDB covers Embedded operation, Lance columnar format, Object storage native, Multimodal storage.

Answered from the vendors’ own pages

Knack: Is Knack charged per user?

No. User accounts are unlimited on all plans. Plans are bounded by stored record count, file storage, API calls per day and automation transactions.

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.

Knack: What happens when I exceed the record limit?

You move to a higher tier or reduce stored records. Because the limit is on data rather than people, apps that accumulate history hit it while apps that track a fixed set of entities generally do not.

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.

Knack: Can I export my application or self-host it?

You can export record data. The application itself, its pages, roles, permissions and flows, is not exportable and cannot be self-hosted, so leaving means rebuilding elsewhere.

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.

Knack: Is it suitable for public-facing portals?

That is its strongest case, because logins are unlimited and role-based permissions are built in. The constraint is record volume and API throughput, not audience size.

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.

Knack: Can I use it for regulated data?

HIPAA-aligned and government cloud options exist but only on the Enterprise tier, along with private server environments. Lower tiers should not be used for regulated workloads.

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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