APIs · head to head
Akoya vs APITable
Akoya
APIs
Bank-owned, token-based open finance network that replaces screen scraping for US financial data
- From
- On request
- Rated
- -
APITable
Spreadsheets
Open source spreadsheet database with an API first design and an embeddable widget system
- From
- Free
- Rated
- -
The short version
- Only APITable has a free tier, so it costs nothing to try first.
- Each has a real cost: Akoya coverage reaches several thousand institutions but does not match aggregators that can still scrape, so applications needing the long tail of small credit unions will run a second data provider alongside it.; 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.
- They diverge on capability: Akoya covers FDX standard APIs, APITable covers API first design.
- Prices and features above were last checked on 31 August 2026.
Where they differ
Only the attributes on which Akoya and APITable actually diverge.
Identical on both: 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 Akoya
- FDX standard APIs
- Token-based access
- Investment data
- Accounts, balances and transactions
- Statements and tax forms
- Customer identity
- Consumer permission management
- Single integration
Only in APITable
- API first design
- Widget SDK
- Embeddable views
- Multiple view types
- Linked records and formulas
- Self hosting
- Real time collaboration
What people use each for
The jobs each tool is most often brought in to do.
Akoya
- A wealth management platform that needs Fidelity brokerage holdings and tax lots, which cannot be scraped since Fidelity closed that route in October 2023not APITable
- A tax preparation product retrieving tax forms and cost basis directly from the institution rather than asking users to upload PDFsnot APITable
- A lender that needs a permissioning trail defensible under CFPB section 1033 rather than a credential-sharing arrangementnot APITable
- A bank that wants to meet data sharing obligations through one network connection instead of building and policing its own developer interfacenot APITable
APITable
- Embedding an editable table view inside a product you are building, rather than sending users to another toolnot Akoya
- An internal platform where tables are read and written mostly by code through the API and only occasionally by peoplenot Akoya
- A self hosted replacement for a per seat spreadsheet database where seat count is the cost drivernot Akoya
- Building a custom dashboard widget that sits beside the data instead of in a separate reporting toolnot Akoya
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Akoya
- Coverage reaches several thousand institutions but does not match aggregators that can still scrape, so applications needing the long tail of small credit unions will run a second data provider alongside it.
- The network is owned by large banks, so roadmap and coverage priorities reflect owner interests rather than those of the fintechs consuming the data, and a recipient has no leverage over which institutions are added next.
- Data availability is decided institution by institution, meaning a bank may expose balances but not transactions or investments, and recipients must verify field-level coverage per institution rather than assume the FDX model is fully populated.
- Pricing is unpublished and usage based, which makes it difficult to compare against aggregator pricing during a build-versus-buy decision and forces a sales cycle before you can model cost.
- The token model requires the institution to have implemented its side, so newly onboarded institutions arrive on the institution timetable, not yours, and a launch dependent on a specific bank can slip badly.
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.
Pricing, plan by plan
Akoya
On request- Akoya Data Access$undefined/year
- Usage-based pricing quoted by data product and call volume
- Separate commercial terms for data recipients and for financial institutions joining the network
- No published rate card
APITable
Free- Self hosted open sourceFree
- No licence fee
- No product record cap on self hosted deployments
- Docker and Kubernetes deployment
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.
Questions people ask
- Is Akoya or APITable better?
- Neither clearly leads. Akoya starts at On request and APITable at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Akoya or APITable?
- APITable has a free tier; the other does not. Paid plans start at On request for Akoya and Free for APITable.
- Does Akoya or APITable run on more platforms?
- Akoya runs on Web. APITable runs on Web, Linux.
- Can I use APITable for free?
- Yes. APITable has a free tier, so you can try it without paying. Akoya starts at On request.
- What is Akoya best used for?
- Akoya is most often used for a wealth management platform that needs fidelity brokerage holdings and tax lots, which cannot be scraped since fidelity closed that route in october 2023, a tax preparation product retrieving tax forms and cost basis directly from the institution rather than asking users to upload pdfs, a lender that needs a permissioning trail defensible under cfpb section 1033 rather than a credential-sharing arrangement, a bank that wants to meet data sharing obligations through one network connection instead of building and policing its own developer interface. Of those, a wealth management platform that needs fidelity brokerage holdings and tax lots, which cannot be scraped since fidelity closed that route in october 2023 and a tax preparation product retrieving tax forms and cost basis directly from the institution rather than asking users to upload pdfs are not what APITable is typically brought in for.
- What can Akoya do that APITable cannot?
- Akoya covers FDX standard APIs, Token-based access, Investment data, Accounts, balances and transactions. APITable covers API first design, Widget SDK, Embeddable views, Multiple view types.
Answered from the vendors’ own pages
Akoya: Who owns Akoya?
A group of large US banks. It was spun out of Fidelity, which is why Fidelity data access runs through it.
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.
Akoya: Is Akoya screen scraping?
No. It uses FDX standard APIs with OpenID Connect tokens, so credentials are never shared with or stored by the data recipient.
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.
Akoya: Can we use Akoya alone instead of an aggregator?
Usually not. Its investment and large-institution coverage is excellent, but the long tail of smaller institutions is thinner, so most teams run both.
APITable: Is the hosted version representative?
No. Its free tier caps records per space, which is a commercial limit rather than a technical one.
Akoya: Does it help with CFPB section 1033?
It is designed around it, providing tokenised permissioned access and consumer revocation rather than credential sharing.
APITable: How hard is self hosting?
Harder than a single container. Plan for several services and someone to keep them running.
APITable: Does it do automations?
Lightly. Expect to pair it with an external automation tool for anything multi step.
Related pages
Other head to heads
- Akoya vs Yodlee
- Akoya vs MX Technologies
- Akoya vs Ozone API
- Akoya vs Aiia
- Akoya vs Tink
- Akoya vs Salt Edge
- Akoya vs Trustly
- Akoya vs Lithic
- Akoya vs Token.io
- Akoya vs Bud Financial
- Akoya vs Tribe Payments
- Akoya vs Method Financial
- Akoya vs Asyncapi
- Akoya vs AWS API Gateway
- Akoya vs Microsoft Azure API Management
- Akoya vs Basis Theory
- Akoya vs Boomi API Management
- Akoya vs Codat
- Akoya vs Baserow
- Akoya vs NocoDB
- Akoya vs Teable
- Akoya vs SeaTable
- Akoya vs Mathesar
- Akoya vs Rowy
- Akoya vs Cube Software
- Akoya vs Sigma Computing
- Akoya vs Numbers
- Akoya vs Tableau
- Akoya vs Metabase
- Akoya vs Looker
- Akoya vs Equals
- Akoya vs Coefficient
- APITable vs Yodlee
- APITable vs MX Technologies
- APITable vs Ozone API
- APITable vs Aiia
- APITable vs Tink
- APITable vs Salt Edge
- APITable vs Trustly
- APITable vs Lithic
- APITable vs Token.io
- APITable vs Bud Financial
- APITable vs Tribe Payments
- APITable vs Method Financial
- APITable vs Asyncapi
- APITable vs AWS API Gateway
- APITable vs Microsoft Azure API Management
- APITable vs Basis Theory
- APITable vs Boomi API Management
- APITable vs Codat
- APITable vs Baserow
- APITable vs NocoDB
- APITable vs Teable
- APITable vs SeaTable
- APITable vs Mathesar
- APITable vs Rowy
- APITable vs Cube Software
- APITable vs Sigma Computing
- APITable vs Numbers
- APITable vs Tableau
- APITable vs Metabase
- APITable vs Looker
- APITable vs Equals
- APITable vs Coefficient