Spreadsheets · head to head
APITable vs Presto

APITable
Spreadsheets
Open source spreadsheet database with an API first design and an embeddable widget system
- From
- Free
- Rated
- -

Presto
Databases
The Meta-lineage distributed SQL query engine, distinct from the Trino fork
- From
- Free
- Rated
- -
The short version
- Each has a real cost: APITable records are held in the product own schema rather than as native database tables, so the practical row ceiling is a product limit and large tables should be load tested before commitment.; Presto the original creators and most of the active contributor base left for Trino in 2020, so Presto has the smaller community, fewer connectors and slower feature delivery of the two branches.
- They diverge on capability: APITable covers API first design, Presto covers Federated querying.
- Prices and features above were last checked on 31 August 2026.
Where they differ
Only the attributes on which APITable and Presto actually diverge.
Identical on both: starting price (Free), pricing model (Open source, no licence fee), free tier (Yes), user rating (Not yet rated).
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 APITable
- API first design
- Widget SDK
- Embeddable views
- Multiple view types
- Linked records and formulas
- Self hosting
- Real time collaboration
Only in Presto
- Federated querying
- In-memory execution
- Open table format support
- Presto C++ workers
- ANSI SQL
- Pluggable connectors
What people use each for
The jobs each tool is most often brought in to do.
APITable
- Embedding an editable table view inside a product you are building, rather than sending users to another toolnot Presto
- An internal platform where tables are read and written mostly by code through the API and only occasionally by peoplenot Presto
- A self hosted replacement for a per seat spreadsheet database where seat count is the cost drivernot Presto
- Building a custom dashboard widget that sits beside the data instead of in a separate reporting toolnot Presto
Presto
- An existing PrestoDB estate that needs continued upgrades rather than a migration to Trinonot APITable
- A team buying IBM watsonx.data, where Presto is the underlying query enginenot APITable
- Joining a Hive or Iceberg lake to an operational PostgreSQL database in one query without an ETL stepnot APITable
- Very large scale interactive SQL where the Meta-tested branch is a specific requirementnot APITable
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
APITable
- Records are held in the product own schema rather than as native database tables, so the practical row ceiling is a product limit and large tables should be load tested before commitment.
- The hosted free tier caps records per space, so evaluating on the cloud version gives a misleading picture of what the software can do when self hosted.
- Automation is thin compared with the commercial alternatives, and most real workflows end up in an external automation tool.
- The self hosted deployment is heavier than a single container, so running it properly means managing several services rather than one.
- Documentation and community activity are uneven in English, and finding an answer to an operational problem can take longer than the problem itself deserves.
Presto
- The original creators and most of the active contributor base left for Trino in 2020, so Presto has the smaller community, fewer connectors and slower feature delivery of the two branches.
- Documentation, tutorials and Stack Overflow answers for the two projects are frequently mixed up, and a solution written for Trino often does not apply, which costs real debugging time.
- It is a query engine with no storage of its own, so query performance is dictated by your file layout, partitioning and statistics, and a badly organised lake makes Presto look slow.
- Memory-bound execution means a single large join can fail the whole query rather than spilling gracefully, and tuning cluster memory settings is a persistent operational chore.
- Commercial support has consolidated into IBM since the Ahana acquisition, so the independent vendor market that once existed around Presto is largely gone.
Pricing, plan by plan
APITable
Free- Self hosted open sourceFree
- No licence fee
- No product record cap on self hosted deployments
- Docker and Kubernetes deployment
Presto
Free- PrestoFree
- Apache 2.0 licence
- Presto Foundation governance under the Linux Foundation
- No node or query limits
Which should you pick?
Choose APITable if
- You need api first design.
- You want to start without paying.
- You work on Web, Linux.
- You also want widget sdk.
Choose Presto if
- You need federated querying.
- You want to start without paying.
- You work on Linux, Docker, Kubernetes.
- You also want in-memory execution.
Questions people ask
- Is APITable or Presto better?
- Neither clearly leads. APITable starts at Free and Presto at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, APITable or Presto?
- APITable starts at Free and Presto at Free.
- Does APITable or Presto run on more platforms?
- APITable runs on Web, Linux. Presto runs on Linux, Docker, Kubernetes.
- Can I use APITable for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is APITable best used for?
- APITable is most often used for embedding an editable table view inside a product you are building, rather than sending users to another tool, an internal platform where tables are read and written mostly by code through the api and only occasionally by people, a self hosted replacement for a per seat spreadsheet database where seat count is the cost driver, building a custom dashboard widget that sits beside the data instead of in a separate reporting tool. Of those, embedding an editable table view inside a product you are building, rather than sending users to another tool and an internal platform where tables are read and written mostly by code through the api and only occasionally by people are not what Presto is typically brought in for.
- What can APITable do that Presto cannot?
- APITable covers API first design, Widget SDK, Embeddable views, Multiple view types. Presto covers Federated querying, In-memory execution, Open table format support, Presto C++ workers.
Answered from the vendors’ own pages
APITable: What is the record limit?
The self hosted edition has no product cap, but performance is bounded by the internal schema rather than by your database. Test at your expected size.
Presto: Is this Presto or Trino?
This is PrestoDB, the branch that stayed at Facebook and moved to the Linux Foundation. Trino is the 2020 fork by the original creators.
APITable: Can I embed it in my own product?
Yes, and that is the main reason to choose it. Views embed and the widget SDK extends them.
Presto: Which should I choose for a new project?
Trino, in most cases. It has the larger community, more connectors and more commercial options.
APITable: Is the hosted version representative?
No. Its free tier caps records per space, which is a commercial limit rather than a technical one.
Presto: Who maintains Presto now?
Principally Meta, Uber and IBM, which acquired the Presto vendor Ahana in 2023.
APITable: How hard is self hosting?
Harder than a single container. Plan for several services and someone to keep them running.
Presto: Is it still actively released?
Yes, releases continue on a regular cadence under the Presto Foundation.
APITable: Does it do automations?
Lightly. Expect to pair it with an external automation tool for anything multi step.
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- Presto vs Meilisearch
- Presto vs Memcached
- Presto vs Typesense
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