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APIs · head to head

Akoya vs Meilisearch

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
Meilisearch logo

Meilisearch

Databases

Fast open-source search engine built for typo tolerance

From
Free
Rated
-
Full reviewWebsite

The short version

  • Only Meilisearch 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.; Meilisearch not built for log analytics or aggregation-heavy workloads, which is where Elasticsearch remains the answer
  • They diverge on capability: Akoya covers FDX standard APIs, Meilisearch covers Typo tolerance.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which Akoya and Meilisearch actually diverge.

Attributes where Akoya and Meilisearch differ
AttributeAkoyaMeilisearch
Starting priceOn requestFree
Pricing modelquoteOpen source, no licence fee; managed cloud billed separately
Free tierNoYes
PlatformsWebLinux, macOS, Windows, 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 Meilisearch

  • Typo tolerance
  • Search as you type
  • Faceted search
  • Simple API

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

Meilisearch

  • Adding product or content search to an application without running Elasticsearchnot Akoya
  • Search-as-you-type interfaces where latency is visible to the usernot Akoya
  • Replacing SQL LIKE queries that cannot handle typos or rankingnot 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.

Meilisearch

  • Not built for log analytics or aggregation-heavy workloads, which is where Elasticsearch remains the answer
  • Scaling across many nodes is less mature than the older engines it competes with
  • Memory use grows with index size, and large datasets need real capacity planning

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

Meilisearch

Free
  • MeilisearchFree
    • 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 Meilisearch if

  • You need typo tolerance.
  • You want to start without paying.
  • You work on Linux, macOS, Windows, Docker, Self-hosted.
  • You also want search as you type.
Meilisearch review

Questions people ask

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

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.

Meilisearch: Is Meilisearch free?

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

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.

Meilisearch: Meilisearch or Elasticsearch?

Meilisearch is far simpler for application search and works well by default. Elasticsearch is the choice when you also need log analytics and heavy aggregations.

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.

Meilisearch: Does it handle typos automatically?

Yes. Typo tolerance is on by default rather than something you configure.

Akoya: Does it help with CFPB section 1033?

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

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