APIs · head to head
Akoya vs Mambu
Akoya
APIs
Bank-owned, token-based open finance network that replaces screen scraping for US financial data
- From
- On request
- Rated
- -
Mambu
APIs
Composable cloud core banking platform used by banks, lenders and fintechs in 65-plus countries
- From
- On request
- Rated
- -
The short version
- 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needing the long tail of small credit unions will run a second data provider alongside it.; Mambu pricing is entirely unpublished, and as subscription and usage-based fees scale with a bank's book of business, total cost at scale is hard to forecast before a detailed vendor conversation.
- They diverge on capability: Akoya covers FDX standard APIs, Mambu covers Composable engine architecture.
- Prices and features above were last checked on 1 September 2026.
Where they differ
Only the attributes on which Akoya and Mambu actually diverge.
Identical on both: starting price (On request), pricing model (quote), free tier (No), 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 Mambu
- Composable engine architecture
- Deposits and lending core
- Cloud-native SaaS delivery
- Marketplace of connectors
- Multi-country regulatory support
- API-first orchestration
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 Mambu
- A tax preparation product retrieving tax forms and cost basis directly from the institution rather than asking users to upload PDFsnot Mambu
- A lender that needs a permissioning trail defensible under CFPB section 1033 rather than a credential-sharing arrangementnot Mambu
- A bank that wants to meet data sharing obligations through one network connection instead of building and policing its own developer interfacenot Mambu
Mambu
- A digital-first challenger bank wanting a cloud-native core without building banking infrastructure from scratchnot Akoya
- A lender needing configurable loan product engines to launch new credit products fasternot Akoya
- An established bank doing incremental core modernisation rather than a full monolithic core replacementnot Akoya
- A fintech in an emerging or regulated market needing pre-built compliance configuration across many jurisdictionsnot 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.
Mambu
- Pricing is entirely unpublished, and as subscription and usage-based fees scale with a bank's book of business, total cost at scale is hard to forecast before a detailed vendor conversation.
- A core banking implementation is a multi-year, high-switching-cost commitment regardless of vendor, and Mambu is no exception; a wrong initial configuration choice is expensive to unwind.
- Composability is a genuine strength but also means more integration and configuration decisions fall to the bank's own team or system integrator, versus a more opinionated, less flexible fixed-core alternative.
- As cloud-hosted core banking infrastructure, a bank is trusting Mambu's own uptime and security posture for its most business-critical system, concentrating operational risk in one vendor relationship.
- Newer entrants such as Thought Machine and 10x Banking compete directly on similar composable positioning, so Mambu's tenure advantage is real but narrowing as competitors mature.
Pricing, plan by plan
Akoya
On request- Akoya Data Access$undefined/year
- Usage-based pricing quoted by data product and call volume
- Separate commercial terms for data recipients and for financial institutions joining the network
- No published rate card
Mambu
On request- Mambu$undefined/year
- Subscription pricing, structured by modules and usage
- Exact rates not published, custom quote required
Which should you pick?
Choose Mambu if
- You need composable engine architecture.
- You work on Web, API.
- You also want deposits and lending core.
Questions people ask
- Is Akoya or Mambu better?
- Neither clearly leads. Akoya starts at On request and Mambu at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Akoya or Mambu?
- Akoya starts at On request and Mambu at On request.
- Does Akoya or Mambu run on more platforms?
- Akoya runs on Web. Mambu runs on Web, API.
- 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 Mambu is typically brought in for.
- What can Akoya do that Mambu cannot?
- Akoya covers FDX standard APIs, Token-based access, Investment data, Accounts, balances and transactions. Mambu covers Composable engine architecture, Deposits and lending core, Cloud-native SaaS delivery, Marketplace of connectors.
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.
Mambu: Is Mambu on-premise or cloud?
Cloud-native SaaS delivery, not an on-premise installation.
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.
Mambu: Does it publish pricing?
No, pricing is subscription-based, structured by modules and usage, but not published publicly.
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.
Mambu: How many countries does it operate in?
It is used by banks, lenders and fintechs across more than 65 countries.
Akoya: Does it help with CFPB section 1033?
It is designed around it, providing tokenised permissioned access and consumer revocation rather than credential sharing.
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 Tuum
- Akoya vs Vodeno
- Akoya vs Fintech Farm
- Akoya vs Backbase
- Akoya vs Temenos Transact
- Akoya vs 10x Banking
- Akoya vs Treasury Prime
- Akoya vs i2c
- Akoya vs Griffin
- Akoya vs Swan
- Akoya vs Skaleet
- Akoya vs Synctera
- Akoya vs Apidog
- Akoya vs Astra
- Mambu vs Yodlee
- Mambu vs MX Technologies
- Mambu vs Ozone API
- Mambu vs Aiia
- Mambu vs Tink
- Mambu vs Salt Edge
- Mambu vs Trustly
- Mambu vs Lithic
- Mambu vs Token.io
- Mambu vs Bud Financial
- Mambu vs Tribe Payments
- Mambu vs Method Financial
- Mambu vs Asyncapi
- Mambu vs AWS API Gateway
- Mambu vs Microsoft Azure API Management
- Mambu vs Basis Theory
- Mambu vs Boomi API Management
- Mambu vs Codat
- Mambu vs Tuum
- Mambu vs Vodeno
- Mambu vs Fintech Farm
- Mambu vs Backbase
- Mambu vs Temenos Transact
- Mambu vs 10x Banking
- Mambu vs Treasury Prime
- Mambu vs i2c
- Mambu vs Griffin
- Mambu vs Swan
- Mambu vs Skaleet
- Mambu vs Synctera
- Mambu vs Apidog
- Mambu vs Astra