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APIs · head to head

Akoya vs Apollo GraphQL

Akoya logo

Akoya

APIs

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

From
On request
Rated
-
Apollo GraphQL logo

Apollo GraphQL

APIs

GraphQL platform and API orchestration layer for building unified graphs

From
Free
Rated
-

The short version

  • Only Apollo GraphQL 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.; Apollo GraphQL pricing beyond the Developer tier requires contacting sales, making cost comparison harder for mid-size teams.
  • They diverge on capability: Akoya covers FDX standard APIs, Apollo GraphQL covers Apollo Connectors.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which Akoya and Apollo GraphQL actually diverge.

Attributes where Akoya and Apollo GraphQL differ
AttributeAkoyaApollo GraphQL
Starting priceOn requestFree
Pricing modelquotefreemium
Free tierNoYes
PlatformsWebweb, api

Identical on both: user rating (Not yet rated), category (APIs).

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 Apollo GraphQL

  • Apollo Connectors
  • GraphOS Router
  • Schema registry
  • Schema checks
  • Response caching
  • Audit logging

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

Apollo GraphQL

  • Federating multiple backend services into one GraphQL APInot Akoya
  • Wrapping legacy REST APIs for frontend consumptionnot Akoya
  • Enterprise API governance with schema checks and audit logsnot Akoya
  • Reducing frontend over-fetching and under-fetching of datanot 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.

Apollo GraphQL

  • Pricing beyond the Developer tier requires contacting sales, making cost comparison harder for mid-size teams.
  • Adopting GraphOS effectively requires buy-in to the GraphQL paradigm, which is a larger architectural shift than adding a REST gateway.
  • The free plan's 1-day data retention and 60 req/min self-hosted router limit make it unsuitable for production use.
  • Volume-based per-request pricing can become expensive at very high request volumes compared to flat-rate API gateways.

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

Apollo GraphQL

Free
  • FreeFree
    • Up to 3 developers
    • 1-day data retention
    • Community support
  • Developer$5/month
    • $5 per million requests with volume discounts
    • $50 usage credit for new signups
    • Up to 10 developers
  • Standard$undefined/month
    • Up to 30 developers
    • 90-day data retention
    • Standard support with SLA
  • Enterprise$undefined/month
    • Unlimited developers
    • 18-month data retention
    • 24x7x365 support with SLA

Which should you pick?

Choose Akoya if

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

Choose Apollo GraphQL if

  • You need apollo connectors.
  • You want to start without paying.
  • You work on web, api.
  • You also want graphos router.

Questions people ask

Is Akoya or Apollo GraphQL better?
Neither clearly leads. Akoya starts at On request and Apollo GraphQL at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Akoya or Apollo GraphQL?
Apollo GraphQL has a free tier; the other does not. Paid plans start at On request for Akoya and Free for Apollo GraphQL.
Does Akoya or Apollo GraphQL run on more platforms?
Akoya runs on Web. Apollo GraphQL runs on web, api.
Can I use Apollo GraphQL for free?
Yes. Apollo GraphQL 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 Apollo GraphQL is typically brought in for.
What can Akoya do that Apollo GraphQL cannot?
Akoya covers FDX standard APIs, Token-based access, Investment data, Accounts, balances and transactions. Apollo GraphQL covers Apollo Connectors, GraphOS Router, Schema registry, Schema checks.

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.

Apollo GraphQL: What does Apollo GraphQL cost?

The Free plan supports up to 3 developers at no cost. Developer plan starts at $5 per million requests with a $50 signup credit, while Standard and Enterprise require contacting sales for custom pricing.

Source
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.

Apollo GraphQL: Is there a free plan and what are its limits?

Yes, the Free 'Forever Free' plan supports up to 3 developers, 1-day data retention for checks and insights, and a self-hosted router capped at 60 requests per minute.

Source
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.

Apollo GraphQL: How is usage metered on paid plans?

Standard requests are billed per million operations with tiered volume discounts, starting at $5.00/million for the first 250M and dropping to $3.00/million beyond 5B, with similar tiered pricing for subscription update events.

Source
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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