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Spreadsheets · head to head

Baserow vs BentoML

Baserow logo

Baserow

Spreadsheets

Open-source no-code database platform

From
Free
Rated
-
Full reviewWebsite
BentoML logo

BentoML

Machine Learning

Open source Python framework that packages models into deployable inference services

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Baserow the free tier is capped at 3,000 rows and 2GB of storage per workspace; BentoML the service interface was reworked between major versions, with the Runner abstraction of the 1.0 and 1.1 line replaced by the service decorator style in 1.2, so older internal services and the majority of tutorials found through search do not run unmodified against a current install.
  • They diverge on capability: Baserow covers Database tables, BentoML covers Bento packaging format.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Baserow and BentoML actually diverge.

Attributes where Baserow and BentoML differ
AttributeBaserowBentoML
PlatformsWeb, Api, Self-hostedLinux, Mac, Windows
CategorySpreadsheetsMachine Learning

Identical on both: starting price (Free), pricing model (freemium), free tier (Yes), user rating (Not yet rated), founded (2019).

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 Baserow

  • Database tables
  • Multiple views
  • Forms
  • API access
  • Real-time collaboration
  • Templates
  • Plugins
  • Self-hosting

Only in BentoML

  • Bento packaging format
  • Container image build
  • Adaptive batching
  • HTTP and gRPC serving
  • Multi-model composition
  • Model store
  • Framework support
  • Managed platform option

What people use each for

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

Baserow

  • Self-hosting an open source alternative to a spreadsheet databasenot BentoML
  • Structured team data with Kanban, calendar and grid viewsnot BentoML
  • Building internal tools on top of a database with an APInot BentoML
  • Sharing data with external app users without giving them full seatsnot BentoML

BentoML

  • Standardising how a team ships models, so every service has the same structure, the same health checks and the same build processnot Baserow
  • Serving a model on a GPU where request batching is the difference between one accelerator and severalnot Baserow
  • Composing preprocessing, one or more models and postprocessing into a single deployable unit rather than a chain of servicesnot Baserow
  • Handing a model from a data science group to a platform team as a container image without either side learning the other's toolingnot Baserow

Where each one falls short

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

Baserow

  • The free tier is capped at 3,000 rows and 2GB of storage per workspace
  • Kanban, calendar and survey views need Premium at $10 per user per month billed yearly
  • Role-based permissions, audit logs and SSO require Premium or higher
  • Row limits are per workspace rather than per table, so splitting data across bases does not raise the ceiling
  • Automation runs are metered as credits, 2,000 a month on free

BentoML

  • The service interface was reworked between major versions, with the Runner abstraction of the 1.0 and 1.1 line replaced by the service decorator style in 1.2, so older internal services and the majority of tutorials found through search do not run unmodified against a current install.
  • It is Python only, so a model that has to be served from Go, Java or C++, or embedded directly inside an existing application process, falls outside what the framework does.
  • The framework is free but inference is not, and an accelerator held by a service receiving one request a minute costs the same as one running flat out, so utilisation is a problem the packaging layer does not solve for you.
  • Self-hosting at scale means Kubernetes, an autoscaler, a container registry and someone who maintains them, so a small team either takes on that operational load or moves to the vendor's managed platform, where the commercial relationship begins.
  • Batch size, worker count and concurrency limits are tuning parameters with real throughput consequences, and getting them wrong appears as tail latency under load rather than as an error, so it needs someone who will actually run a load test before launch.

Pricing, plan by plan

Baserow

Free
  • FreeFree
    • 3000 rows per workspace
    • 2 GB storage per workspace
    • 2000 automation credits monthly
  • Premium$10/month
    • 50000 rows per workspace
    • 20 GB storage per workspace
    • 100000 automation credits monthly
  • Advanced$18/month
    • 250000 rows per workspace
    • 100 GB storage per workspace
    • 500000 automation credits monthly
  • Enterprise$null/month
    • 1000000 rows per workspace
    • 1000 GB storage per workspace
    • 2000000 automation credits monthly

BentoML

Free
  • Open SourceFree
    • Model packaging
    • API creation
    • Local serving
  • BentoCloudFree
    • Managed deployment
    • Auto-scaling
    • Monitoring

Which should you pick?

Choose Baserow if

  • You need database tables.
  • You want to start without paying.
  • You work on Web, Api, Self-hosted.
  • You also want multiple views.
Baserow review

Choose BentoML if

  • You need bento packaging format.
  • You want to start without paying.
  • You work on Linux, Mac, Windows.
  • You also want container image build.
BentoML review

Questions people ask

Is Baserow or BentoML better?
Neither clearly leads. Baserow starts at Free and BentoML at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Baserow or BentoML?
Baserow starts at Free and BentoML at Free.
Does Baserow or BentoML run on more platforms?
Baserow runs on Web, Api, Self-hosted. BentoML runs on Linux, Mac, Windows.
Can I use Baserow for free?
Both have a free tier, so you can try either at no cost before committing.
What is Baserow best used for?
Baserow is most often used for self-hosting an open source alternative to a spreadsheet database, structured team data with kanban, calendar and grid views, building internal tools on top of a database with an api, sharing data with external app users without giving them full seats. Of those, self-hosting an open source alternative to a spreadsheet database and structured team data with kanban, calendar and grid views are not what BentoML is typically brought in for.
What can Baserow do that BentoML cannot?
Baserow covers Database tables, Multiple views, Forms, API access. BentoML covers Bento packaging format, Container image build, Adaptive batching, HTTP and gRPC serving.

Answered from the vendors’ own pages

Baserow: Does Baserow have a free plan?

Baserow's Free plan includes 3000 rows per workspace, 2 GB storage, 2000 automation credits monthly, and access to Grid, Form, and Gallery views. It supports up to 500 external app users and includes 65+ templates with no credit card required.

Source
BentoML: Is BentoML free?

The framework is, under Apache 2.0, and you can run it entirely on your own infrastructure. BentoCloud, the managed platform run by the company, is a paid service billed on the compute it runs for you.

Baserow: What row and storage limits does Baserow provide by plan?

Free plan: 3000 rows and 2 GB storage; Premium plan: 50000 rows and 20 GB; Advanced plan: 250000 rows and 100 GB; Enterprise plan: 1000000 rows and 1 TB. All limits are per workspace.

Source
BentoML: Do I need Kubernetes?

Not for a single service, which is just a container. You need it once you want autoscaling, multiple models and rolling deployments on your own infrastructure, which is the point at which the managed option starts to look attractive.

Baserow: How much does Baserow Premium cost?

Baserow Premium costs $10 per user per month when billed annually, or $12 per month when billing monthly. Yearly billing provides better rates than monthly. Advanced plan costs $18/user/month annually or $22/month monthly.

Source
BentoML: How is this different from just writing a FastAPI app?

For one model it is not very different and FastAPI is simpler. The difference is at four or ten models, where you would otherwise be maintaining ten sets of the same Dockerfile, batching logic, dependency pinning and health check code.

Baserow: What are automation credit limits in Baserow?

Free plan provides 2000 monthly automation credits, Premium provides 100000 monthly credits, Advanced provides 500000 monthly credits, and Enterprise provides 2000000 monthly credits for workflow automation.

Source
BentoML: Can it serve large language models?

Yes, and the project publishes tooling aimed at that specifically, but the constraints are the usual ones: accelerator memory, batching strategy and the cost of holding a GPU that is idle between requests.

BentoML: What actually is a Bento?

A directory, versioned and archivable, containing your service code, the model files it needs, the exact Python dependencies and instructions for running it. It is the unit you build into an image and deploy.

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