Softwr

APIs · head to head

Akoya vs Typesense

Akoya logo

Akoya

APIs

Bank-owned, token-based open finance network that replaces screen scraping for US financial data

From
On request
Rated
-
Full reviewWebsite
Typesense logo

Typesense

Databases

Open-source typo-tolerant search engine as an Algolia alternative

From
Free
Rated
-
Full reviewWebsite

The short version

  • Only Typesense 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.; Typesense holding the index in memory caps dataset size by available RAM, which becomes expensive at scale
  • They diverge on capability: Akoya covers FDX standard APIs, Typesense covers In-memory index.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which Akoya and Typesense actually diverge.

Attributes where Akoya and Typesense differ
AttributeAkoyaTypesense
Starting priceOn requestFree
Pricing modelquoteOpen source, no licence fee; managed cloud billed separately
Free tierNoYes
PlatformsWebLinux, macOS, Docker, Self-hosted
CategoryAPIsDatabases

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 Typesense

  • In-memory index
  • Typo tolerance
  • Faceting and filtering
  • Vector search

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 Typesense
  • A tax preparation product retrieving tax forms and cost basis directly from the institution rather than asking users to upload PDFsnot Typesense
  • A lender that needs a permissioning trail defensible under CFPB section 1033 rather than a credential-sharing arrangementnot Typesense
  • A bank that wants to meet data sharing obligations through one network connection instead of building and policing its own developer interfacenot Typesense

Typesense

  • Replacing Algolia when per-search pricing outgrows the valuenot Akoya
  • Instant search over a product catalogue or documentation sitenot Akoya
  • Hybrid keyword and vector search without running two systemsnot 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.

Typesense

  • Holding the index in memory caps dataset size by available RAM, which becomes expensive at scale
  • Narrower than Elasticsearch by design: no log analytics or complex aggregation pipelines
  • Smaller ecosystem and community than Algolia or Elasticsearch, so fewer integrations exist off the shelf

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

Typesense

Free
  • TypesenseFree
    • Full functionality
    • Self-hosted
    • No usage limits

Which should you pick?

Choose Akoya if

  • You need fdx standard apis.
  • You also want token-based access.
Akoya review

Choose Typesense if

  • You need in-memory index.
  • You want to start without paying.
  • You work on Linux, macOS, Docker, Self-hosted.
  • You also want typo tolerance.
Typesense review

Questions people ask

Is Akoya or Typesense better?
Neither clearly leads. Akoya starts at On request and Typesense at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Akoya or Typesense?
Typesense has a free tier; the other does not. Paid plans start at On request for Akoya and Free for Typesense.
Does Akoya or Typesense run on more platforms?
Akoya runs on Web. Typesense runs on Linux, macOS, Docker, Self-hosted.
Can I use Typesense for free?
Yes. Typesense 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 Typesense is typically brought in for.
What can Akoya do that Typesense cannot?
Akoya covers FDX standard APIs, Token-based access, Investment data, Accounts, balances and transactions. Typesense covers In-memory index, Typo tolerance, Faceting and filtering, Vector search.

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.

Typesense: Is Typesense free?

The engine is open source and free to self-host. Typesense Cloud is a paid managed option.

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.

Typesense: Why choose Typesense over Algolia?

Cost and control. Algolia charges per search and per record; Typesense can be self-hosted with no per-query fee, at the cost of running it yourself.

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.

Typesense: Does Typesense support vector search?

Yes, including hybrid search combining keyword and semantic matching in one query.

Akoya: Does it help with CFPB section 1033?

It is designed around it, providing tokenised permissioned access and consumer revocation rather than credential sharing.

Share

Related pages

More on Akoya

More on Typesense

Keep looking

Other head to heads