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Databases · head to head

Knack vs TensorBoard

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
Free plan
No
Visit KnackFull review
T

TensorBoard

Machine Learning

Local visualisation for training runs, reading event files written to a directory

From
Free
Free plan
Yes
Visit TensorBoardFull review

The short version

  • TensorBoard is free; Knack starts at $59/mo.
  • Only Knack lists visual database builder; only TensorBoard lists scalar dashboards.
  • Prices and features on this page were last checked on 13 November 2026.

Where they differ

Only the attributes on which Knack and TensorBoard actually diverge.

Attributes where Knack and TensorBoard differ
AttributeKnackTensorBoard
Starting price$59/monthFree
Pricing modelSubscriptionOpen-source
Free tierNoYes
CategoryDatabasesMachine Learning

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 Knack

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

Only in TensorBoard

  • Scalar dashboards
  • Run comparison
  • Graph visualisation
  • Histograms and distributions
  • Embedding projector
  • Image, audio and text panels
  • Hyperparameter view
  • Profiler

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 TensorBoard
  • Replacing a shared spreadsheet used by a team that has outgrown it but cannot justify a developer to build a bespoke internal toolnot TensorBoard
  • Inventory, asset or case tracking for a small operations team that needs roles, forms and a record of who changed whatnot TensorBoard
  • A registration or booking application for an association, school or non-profit where the user count is large and the record count stays modestnot TensorBoard

TensorBoard

  • Watching a training run in progress on a workstation or a remote box, to decide whether to stop it earlynot Knack
  • Diagnosing why a model is not learning, by looking at gradient and weight histograms rather than only the loss curvenot Knack
  • Profiling a slow training loop to find out whether the bottleneck is the data pipeline or the acceleratornot Knack
  • Working in an environment with no outbound network access, where a hosted tracking service is not an optionnot 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

TensorBoard

  • There is no authentication of any kind, so putting it on a shared host exposes every run, every metric and every logged sample image to anyone who can reach the port, and adding access control means building and maintaining a reverse proxy
  • Event files grow without limit and the interface loads runs into memory, so a directory holding hundreds of runs or a script logging scalars every step becomes slow to start and unpleasant to navigate well before the disk fills
  • It shows only what the training loop chose to write, so nothing connects a curve back to the code commit, the data set version or the environment unless the engineer logged those explicitly, which means the reproducibility problem is left entirely to you
  • TensorBoard.dev, the hosted service for sharing a run by link, was shut down at the end of 2023, so results now travel between colleagues as screenshots or through a deployment somebody on the team has to operate
  • Comparing runs is done by ticking boxes in a run list, which is fine for ten runs and useless for a thousand, and that threshold is precisely where teams start paying for MLflow, Weights and Biases or Neptune instead

Pricing, plan by plan

Knack

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

TensorBoard

Free

No published plan breakdown. See the TensorBoard review.

Which should you pick?

Choose Knack if

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

Choose TensorBoard if

  • You need scalar dashboards.
  • You want to start without paying.
  • You also want run comparison.
TensorBoard review

Questions people ask

Is Knack or TensorBoard better?
Neither clearly leads. Knack starts at $59/month and TensorBoard at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Knack or TensorBoard?
TensorBoard has a free tier; the other does not. Paid plans start at $59/month for Knack and Free for TensorBoard.
Does Knack or TensorBoard run on more platforms?
Both run on Web, so platform support will not decide this one for you.
Can I use TensorBoard for free?
Yes. TensorBoard has a free tier, so you can try it without paying. Knack starts at $59/month.
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 TensorBoard is typically brought in for.
What can Knack do that TensorBoard cannot?
Knack covers Visual database builder, User logins and roles, Page builder, Unlimited users. TensorBoard covers Scalar dashboards, Run comparison, Graph visualisation, Histograms and distributions.

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.

TensorBoard: Does it work with PyTorch?

Yes. PyTorch includes a SummaryWriter that emits the same event file format, and Lightning wires it up by default. Nothing about the tool requires TensorFlow at run time.

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.

TensorBoard: Do I have to install TensorFlow to use it?

No. The tensorboard package installs on its own. Some plugins expect TensorFlow to be present, but the scalar, histogram and image dashboards do not.

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.

TensorBoard: Is it an experiment tracker?

No, and treating it as one is the common mistake. It visualises whatever a run wrote to disk. It does not store hyperparameters, code versions, artefacts or results in a way that survives someone deleting the log directory.

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.

TensorBoard: How do I share a dashboard with a colleague?

Host it yourself behind your own authentication, or send screenshots. The hosted sharing service was retired at the end of 2023.

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.

TensorBoard: What does it cost?

Nothing. It is Apache 2.0 licensed and runs on your own machine.

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