Mambu or Apache Fineract: which fits your core banking operation?
Mambu fits if you want a vendor to run the core and your team does not want to operate a banking platform. Mambu is a cloud-native SaaS core banking platform for lending, deposits and payments, and it has been generally available on Amazon Web Services, Google Cloud and Microsoft Azure since October 24, 2022. That suits institutions with a limited in-house platform team, a preference for managed upgrades and a data location their regulator accepts in the vendor's cloud regions. Confirm with Mambu which regions and hosting options your residency and supervisory requirements allow, and get the upgrade cadence and change-control terms in writing before renewal.
Self-hosted Apache Fineract fits if you need to control hosting, upgrade timing and the code, and you already have engineering capacity to run it. Fineract is Apache 2.0 licensed, ships Docker images and documents Kubernetes deployment, and its current release is 1.15.0. It is headless: it exposes REST APIs with no user interface, so you need your own front end or a distribution such as Mifos X. Its README warns that production deployment can be complex, costly and time-consuming, and that the project does not provide a comprehensive production guide. Your team would own PostgreSQL, multi-tenant configuration, read and write instance separation, Liquibase migrations, backups, security testing and on-call operations, with external partners as an option rather than a given.
The decision turns on four questions: who will operate the platform day to day, where the ledger and customer data must physically sit, whether Fineract's loan and savings product coverage matches your portfolio without heavy customization, and whether you can staff the engineering, security and compliance work that a self-hosted core demands. Write those answers down before comparing subscription terms with infrastructure and staffing costs, because the cost comparison only holds once the operating model is settled.
Which option fits which scenario
This table maps common buyer situations to the better fit between Mambu's managed SaaS core and self-hosted Apache Fineract, with the reason and the condition that would reverse the answer. Read each row as a starting point for your own requirements review, not as a verdict on either product. The main takeaway is that Fineract fits when you can staff the platform, while Mambu fits when you want the vendor to run it.
| Scenario | Better fit | Why and when the answer flips |
|---|---|---|
| Lender wants to outsource platform operations | Mambu | Mambu runs the hosted service, so your team does not carry hosting, patching and database operations. The answer flips if your contract terms or regional availability do not meet your operating model, or if you want the platform inside your own accounts. |
| Bank has a data residency mandate for the ledger | Self-hosted Fineract, if no Mambu region meets the mandate | Fineract can run in a data center or local cloud you choose. Confirm with Mambu which regions and hosting arrangements it offers for your jurisdiction before assuming a gap. |
| Team needs to control upgrade timing | Self-hosted Fineract | Fineract publishes quarterly official releases, so you decide when to test and deploy each one. The answer flips if your team cannot sustain regular upgrade testing, because a delayed upgrade can leave you on an end-of-life release. |
| Microfinance institution needs a ready front end | Mambu, or Mifos X for a self-hosted route | Fineract is headless and ships no user interface, so staff would use a front end built on the REST APIs or the Mifos X web application. Mambu includes its own user interface. The answer flips if you have budget and skills to build or customize a front end and want the Mifos X route. |
| Institution has no in-house core banking engineers | Mambu | Self-hosting Fineract requires people who can run Java services, PostgreSQL, messaging and Kubernetes, and handle Liquibase migrations. The answer flips if you engage a partner for deployment and ongoing operations under a written scope, which still leaves you accountable for the outcome. |
| Organization needs to modify core product logic in source code | Self-hosted Fineract | Apache 2.0 licensing lets you read, change and run the code yourself. The answer flips if configurable products and business rules cover your needs, since customization adds maintenance on every upgrade. |
| Bank requires a vendor-run environment with a defined service model | Mambu | Vendor-run SaaS places service levels and platform operations with the provider under its contract. The answer flips if your own internal operations team can meet the same obligations with documented controls. |
| Institution must demonstrate exit planning for its core | Depends on your exit design | A self-hosted core keeps the code and data under your control, but you then own the migration path and continuity. Confirm your regulator's expectations for the core before choosing the route. |
How loan, deposit and payments coverage compares
Apache Fineract documents loan portfolio management, including configurable products and business rules that shape how loans are originated, scheduled and serviced. Mambu describes its scope as covering lending, deposits and payments on a composable SaaS engine. Fit depends on the specific rules your lending products use, so start with a product-by-product list and read the Fineract documentation against it.
- Loan lifecycle: Confirm that origination, disbursement, repayment and restructuring steps can be set up through configuration rather than custom code.
- Schedule and fee rules: Map your amortization, grace periods, fees and penalties to Fineract's product settings and business rules.
- Credit decisions: Scoring, collateral workflows and approval routing often sit in external tools. Confirm where each step runs in both designs.
- Mambu's composable model: Ask Mambu which of your products are standard configuration and which would need custom development.
Test each live loan product with the same sample accounts on both platforms and record every rule that needs changes.
Apache Fineract documents savings portfolio management, which covers the deposit side of a core banking system. Deposit products differ from loans in interest accrual, product tiers, dormancy and withdrawal rules, so each rule needs its own check. Mambu's published scope includes deposits, and the detail of which deposit types are standard should be confirmed directly with the vendor.
- Savings products: Confirm that interest methods, balance tiers, minimum balances and fee schedules can be configured in Fineract.
- Withdrawals and holds: Check how limits, holds and any overdraft-style behavior are represented in each platform.
- Account states: Confirm the lifecycle states your regulator and policy expect, such as active, dormant and closed, and what triggers each change.
- Deposit product scope in Mambu: Ask which deposit types Mambu supports as standard and which depend on configuration or services.
Export your deposit product matrix and mark each rule as configured, customized or unsupported before any build scope is agreed.
Apache Fineract documents real-time integrated accounting, so financial events are recorded in the ledger within the same platform as the portfolio. This keeps posting logic in one place, but your chart of accounts, period close and reporting still need to be mapped explicitly. Mambu's accounting and reporting coverage should be checked against the same list so the comparison is like for like.
- Chart of accounts: Confirm that your accounts, posting rules and product-to-ledger mappings can be expressed in Fineract's accounting setup.
- Period close: Check how end-of-day processing and period-end runs fit your close calendar and sign-off steps.
- General ledger export: Confirm the file formats and interfaces your finance system needs.
- Regulatory reporting: Confirm which returns are covered by standard reports and which would need custom reports, in both designs.
Ask both vendors for a sample month of journal entries and reconcile the output to your current general ledger before deciding.
Apache Fineract documents client data and KYC documents as part of its scope. Storing a KYC document is not the same as running a complete KYC process, so the comparison should separate record keeping from identity verification, sanctions screening and risk scoring. Identity and screening services are usually integrated from outside the core, and the integration points should be confirmed for each platform.
- Client records: Confirm the fields you need, including identifiers, addresses, related parties and beneficial ownership data.
- Document handling: Confirm upload, retention, access control and audit logging for KYC documents meet your policy.
- Verification and screening: Identify which third-party services perform checks and how their results are written back to the client record.
- Data location: With a self-hosted Fineract deployment, client documents and backups stay where you configure them. For Mambu, confirm the regions and backup locations offered under your contract.
Write the KYC workflow as a numbered sequence of steps, then mark which system performs each step.
Mambu's published scope includes payments alongside lending and deposits. Apache Fineract's documented capabilities cover the core ledger and portfolio records, not payment orchestration or processor connectivity, so payments need a separate design. For card and processor routing, Hyperswitch is a separate Apache 2.0 project that connects to over 100 payment processors and includes a card vault service. Pairing the two is possible, but it needs its own integration design and a PCI DSS scope review.
- Payment rails: Confirm which rails you need, such as transfers, cards or instant payments, and which platform originates each one.
- Processor support: Confirm that the processors you use are supported by Hyperswitch and by Mambu's payment features.
- Card data handling: Hyperswitch includes a card vault. Its effect on your PCI DSS scope should be confirmed with your assessor before you choose a design.
- Ledger posting and reconciliation: Confirm how payment events post into Fineract accounts and which process reconciles them.
Draw the payment flow end to end, including every system that touches card or account data, before deciding which platform owns each step.
Mambu and Apache Fineract side by side
This table compares how Mambu and Apache Fineract differ in licence, deployment, interface, APIs, tenancy, data layer, events, release cadence and production readiness. Read the Fineract column as what you would own and operate yourself, and confirm the items marked for verification against current vendor and project documentation before you decide.
| Area | Mambu | Apache Fineract |
|---|---|---|
| Licence | Commercial subscription from Mambu, with terms set in your contract | Apache License 2.0 (Apache-2.0), with no licence fee for the software itself |
| Deployment model | Cloud-native SaaS operated by Mambu | Self-hosted in your own cloud accounts, data centers or on-premises, operated by your team or a partner |
| Cloud availability | Generally available on AWS, Google Cloud and Microsoft Azure since October 24, 2022, per Mambu's announcement | Runs wherever you deploy it, including Docker images and documented Kubernetes deployment; confirm the target cloud and region with your own architects |
| User interface | Included in the SaaS product | Headless, with REST APIs only; the README points to Mifos X as a front end used in its Kubernetes example, so you must build or source one |
| APIs | Vendor-documented APIs; confirm endpoint coverage and rate limits against Mambu's current developer documentation | REST APIs documented in the Fineract platform documentation; confirm version-specific behavior for 1.15.0 |
| Multi-tenancy | Confirm with Mambu how tenants and environments are separated in its SaaS model | Requests carry a Fineract-Platform-TenantId header and tenant connections come from a tenants database; quick start creates separate tenant databases |
| Database | Managed by Mambu; you do not select the database engine | PostgreSQL is recommended; MariaDB and MySQL are deprecated under FSIP-9 and the official Docker image ships only the PostgreSQL JDBC driver |
| Events and integration | Confirm the event streaming options and their delivery guarantees in Mambu's current documentation | Supports ActiveMQ and Apache Kafka for events; you configure, scale and monitor the broker |
| Release cadence | Vendor-managed release timing under your contract; confirm upgrade windows and notice periods | Official releases are created quarterly at the end of each quarter, with 1.15.0 listed as the current release; you schedule upgrades |
| Production readiness | Production operation is handled by the vendor under the SaaS contract | Project states its Docker images are not production-ready and the README warns that a production deployment can be complex, costly and time-consuming; plan hardening, backup and HA yourself |
Where the ledger lives and who holds the keys
With Mambu, the core runs in a vendor-operated SaaS environment on a cloud provider the vendor has chosen with you. With Apache Fineract, you decide where the ledger lives, who administers it and when it changes. The cards below cover the decisions that follow from that difference and the checks to run before you commit.
Data location and residency
Mambu runs on Amazon Web Services, Google Cloud and Microsoft Azure, and its general availability announcement on those three clouds was dated October 24, 2022. Confirm which regions host your tenant, where backups and support access originate, and whether any sub-processors receive banking records. With Fineract, the database, backups and replicas sit wherever you deploy them, so residency becomes a design choice you document and test.
Hosting model and operating boundary
Mambu is a cloud-native SaaS platform, so the vendor operates the application tier, scaling and infrastructure under its service terms. Fineract is a headless application you deploy on your own Kubernetes or virtual machines, with Docker images that the project itself says are not production-ready. Your team, or a partner you contract, then owns the database, load balancing, patching and disaster recovery that the vendor previously handled.
Upgrade timing and change control
With Mambu, the vendor schedules platform releases, so you negotiate notice periods, sandbox access and regression support in the contract. With Fineract, the project creates official releases quarterly, and you choose when to adopt each one. Expect to own the test cycle, the Liquibase database migrations (which run only on write instances) and the rollback plan. Ask Mambu for its release calendar and Fineract teams for their own upgrade runbook.
Identity and access administration
Mambu administrators and integrations authenticate through the vendor's identity model, and your access reviews depend on what its admin console exports. Fineract is headless and has no user interface of its own, so access control runs through its REST APIs, the tenant header that separates tenants, and whatever front end you add. Define which roles can change products, approve loans and read client data, and confirm that every privileged action appears in an exportable audit trail.
Tenant separation and logical isolation
Fineract is multi-tenant: requests carry a Fineract-Platform-TenantId header and each tenant's database connection is set from a tenants database. Mambu also isolates customers, but you rely on its architecture and its published controls rather than on configuration you own. Verify tenant isolation with negative tests that try to read one tenant's clients from another, and record the results for your architecture file.
Compliance evidence and assessor scope
DeployOpen prepares controls, configuration baselines and evidence for your compliance assessments. It does not issue audit reports, attestations or certifications, and neither Mambu nor Apache Fineract should be described as certified on the strength of this page. Ask Mambu for its current third-party assurance reports and their scope. For a self-hosted core, your independent auditor will test the controls you operate, so plan that evidence collection before go-live.
What running Fineract assumes about your team
Running Fineract means operating a stateful, multi-instance Java service, not just deploying a container. Fineract's documentation describes read, write and batch instance types set through environment variables. The recommended shape for high load is one write instance, one batch instance and several read instances pointed at database read replicas. Your team must decide how many of each to run, how they scale, and how traffic is routed so that writes and batch jobs never compete with customer-facing reads. Confirm these settings against the version you plan to run, since the Fineract documentation is the reference for them.
Schema changes add a second constraint. Liquibase database migrations run only on write instances, or can run separately with the liquibase-only Spring profile on Kubernetes. Your release process needs a defined step for migrations before any application pods roll forward, plus a rollback plan for the database. Note also that Fineract's own README warns that a production deployment can be complex, costly and time-consuming, and that the project does not provide a comprehensive production deployment guide. The official Docker images are not production-ready. Expect to design the hardening, backup, monitoring and upgrade runbooks yourself, or to pay a vendor or implementation partner to do it, and ask any such partner which of those artifacts they will hand over.
Plan for the people as well as the platform. A realistic staffing question is who on your side can read Liquibase changelogs, tune PostgreSQL replicas, operate a message broker such as Kafka or ActiveMQ, and own the multi-tenant configuration built around the Fineract-Platform-TenantId header. Vendor support for deployment and maintenance is available in the market, so the build-or-buy decision is a real one. Ask any provider for a named list of who will operate each component after go-live, which upgrade path they support for each quarterly release, and how they test migrations against a copy of production data before cutover.
What each option costs over its lifetime
Mambu's cost is a contract that recurs every term, while Fineract's licence is free but its run cost is paid in infrastructure, people and services. Compare the two by component, mark which costs are one-time and which recur, and ask each vendor and partner for line items you can test against your own volumes.
Mambu subscription
Recurring, set by contract. Mambu charges under a commercial agreement, so the amount, its scope and any tiers depend on what you negotiate, including product lines, volumes and cloud regions. Ask for the fee basis in writing, the renewal and price-escalation terms, what counts as a billable unit, and which support, environments and data exports are included. Confirm exit terms, including how data is returned if you leave.
Fineract licence
One-time evaluation, no licence fee. Apache Fineract is licensed under Apache 2.0, so there is no per-user or per-volume licence to pay. The cost sits in everything around the code. Check your own compliance review of the license and any third-party components you add, such as the Mifos X front end, which carries its own licence. Budget for the release cadence you plan to follow, since quarterly releases mean regular upgrade work.
Infrastructure and hosting
Recurring, driven by your sizing. You pay for compute, PostgreSQL, storage, backups, networking and the separate read, write and batch instances the Fineract documentation recommends for higher load. Costs rise with transaction volume, number of tenants, disaster recovery targets and the number of environments. Ask your cloud or data center team to price a production, a disaster recovery and two non-production environments, and ask for the Docker and Kubernetes images you will rebuild and patch yourselves.
Implementation and product configuration
One-time, largest in year one. Mapping loan, savings and deposit products, fees, accounting rules and reporting into Fineract's configurable products is project work. Costs rise with the number of products, the complexity of repayment and interest rules, and how much data migration you need. Ask any implementation partner for a fixed-scope statement that lists products, interfaces, data conversion, testing cycles and acceptance criteria, rather than a single day rate.
Integration, security testing and support
One-time build, then recurring testing and support. Payment rails, general ledger, credit bureaus, KYC providers and channels need interfaces, and each needs test cycles. Penetration testing, security reviews and vulnerability scanning should repeat after each upgrade. Ask for the cost of each interface, how many test rounds are included, and whether support is a retainer covering patches, upgrades and incident response.
In-house team to run the core
Recurring, usually the largest line. Running Fineract means staff who understand Java, Spring, PostgreSQL, Liquibase migrations, Kubernetes and the banking product model, plus on-call coverage for a core ledger. Mambu's team runs the SaaS service for you, so this cost replaces vendor operations rather than adding to it. Compare headcount, skills gaps and hiring time against your current vendor management effort, and ask any partner what operating model it proposes for on-call and upgrades.
What a move from Mambu to Fineract involves
The sequence turns a SaaS-hosted Mambu portfolio into a Fineract core that DeployOpen's client runs in its own infrastructure, with each phase closed by a written check. Reconciliation evidence and a tested rollback path are what the institution signs off before cutover.
Scope the portfolio and map products
Start by inventorying the loan, savings and deposit products, fees, interest rules, accounting entries and integrations that run on Mambu. Map each Mambu product configuration to a Fineract product definition, and record every gap where Fineract needs a different approach or custom code. Product owners, finance, risk and the core team sign the mapping and the in-scope account types. This step is done when the written scope lists each product, its target configuration and the open decisions, and every decision has a named owner. The scope also sets the timeline, which depends on portfolio size and product complexity, so it should be agreed in writing before work starts.
Build and harden the Fineract environment
Provision the Fineract environments in the client's own cloud account, data center or private network, using the Docker images or the documented Kubernetes deployment. Fineract's own documentation warns that its images are not production-ready, so the team builds the production images, configuration, secrets handling, database layout with PostgreSQL, read and write instance separation, backups and monitoring as a hardened baseline. Confirm the current release and support window against the project's release notes before you pin a version. This step is done when the environments pass the agreed security baseline and a restore from backup has been tested.
Extract clients, accounts and schedules
Pull client records, KYC references, loan and savings accounts, repayment schedules and transaction history from Mambu through its APIs or the export routes described in the data export guide. Extracts are versioned and hashed, and each one is loaded into a staging area, not into Fineract directly. Data owners confirm field-level meanings, such as date conventions, rounding and status codes, before loading. This step is done when staging counts and control totals match the source extract for each product and the mapping exceptions are logged.
Load and validate in Fineract
Load the staged data into Fineract with scripted, repeatable jobs that create clients, accounts and schedules and post opening balances through the REST API. Each load is run on a fresh environment so results can be compared across attempts. Engineers check that schedules recalculate to the same installments, interest and fees as Mambu for a sample of accounts, and that accounting postings match the agreed chart of accounts. This step is done when a full load completes without unexplained exceptions and the sample comparison is signed off by finance and credit operations.
Run parallel operation and reconcile
Run Mambu and Fineract side by side for an agreed period, with new transactions captured in both systems or replayed from Mambu into Fineract. Daily reconciliation compares balances, schedules, accruals and general ledger totals between the two cores, and every difference is classified and resolved with a recorded cause. Operations staff work from the same runbook they will use after cutover. This step is done when reconciliation differences are at zero or accepted in writing, and the operations team has run a complete business cycle on the new core.
Test security, integrations and failure modes
Run application and API security testing against Fineract and its integration points, including payment rails, the general ledger, reporting and identity. Test performance under expected load, failover of the database and instance types, and recovery from backups. Verify the access controls for tenants and roles, and record evidence for the control owners. DeployOpen prepares this evidence for the client's compliance assessments, but independent auditors issue any assurance report. This step is done when all high-severity findings are fixed or formally accepted, and the test evidence is filed with the change record.
Cut over with a documented rollback
Agree a cutover runbook with a freeze window, a final extract and load, a final reconciliation, and the go or no-go criteria owned by named executives. Keep Mambu available in read-only or active mode for the agreed rollback period, and define the trigger, steps and data reconciliation required to return to Mambu if a criterion fails. Customer communications, regulatory notifications and support routing are prepared in advance. This step is done when the go decision is recorded, the post-cutover checks pass, and the rollback plan has been rehearsed.
Questions buyers ask before switching from Mambu
What does moving from Mambu to Apache Fineract cost, and who gets paid for what?
The Fineract software itself carries no licence fee, since it is Apache License 2.0 (SPDX: Apache-2.0). The spend shifts to the components you now pay for directly: infrastructure in your own cloud or data center, a team to run it, product configuration, integration with payments and general ledger systems, data migration, security testing, and support. Some of this goes to an implementation partner under a fixed-scope written agreement, some to your staff, and some to infrastructure providers. The Fineract README warns that production deployment can be complex, costly and time-consuming, and that organizations may pay a vendor for deployment and maintenance. Ask any quote to split one-time work (migration, configuration, hardening) from recurring work (hosting, upgrades, on-call, testing).
How long does a migration from Mambu to Fineract take?
The duration depends on what you move and how much you change. The main drivers are the number of loan and savings products that must be mapped to Fineract's configurable products and business rules, the volume and history of accounts and repayment schedules to extract through Mambu's APIs, how many downstream systems depend on the core, and whether you run a parallel period with reconciliation before cutover. Regulated institutions also add time for governance approvals and independent review of controls. No timeline is fixed in advance. DeployOpen agrees a timeline in writing as part of a fixed-scope engagement, after the product mapping and data assessment establish the real size of the work.
Can an in-house team run Fineract without outside help?
It can, but the team must cover more than application code. Fineract is headless, so it has REST APIs and no user interface of its own. You will need a front end, PostgreSQL operations (the README names PostgreSQL as the recommended database), container and Kubernetes operations, and the read, write and batch instance layout the documentation describes. Operators must also handle Liquibase database migrations, which run only on write instances, and plan how they run them separately on Kubernetes. The Docker images are not production-ready according to the repository, so you will harden and test them yourself. Assess whether you have these skills today, and whether you can keep them staffed through turnover.
What does the bank need to provide for a Fineract project?
The bank supplies decisions and people that no implementer can replace. Name a product owner who signs off on how each Mambu product maps to Fineract configuration, and data owners for clients, accounts, schedules and general ledger balances who can resolve discrepancies. Governance needs a steering group with authority over cutover and rollback. Testing requires your own test cases, reconciliation sign-off and user acceptance testing by operations staff. Security and risk teams must approve access models, key management, logging and the hosting design. Ask any proposed partner to list these inputs in the written scope so you know the commitment before work starts.
Does Fineract cover the same loan and deposit products as Mambu?
Fineract covers core areas, including client data and KYC documents, loan and savings portfolio management, real-time integrated accounting, reporting, and configurable products and business rules. Whether it matches a specific Mambu setup depends on your product catalogue, custom logic and payment connectors. Build a product-by-product gap register that lists each feature, how Mambu implements it, how Fineract implements it through configuration or custom code, and who will build any gap. Some features may need extension work. Confirm each item against the current Fineract documentation and your own test results rather than assuming parity.
How are Fineract upgrades and quarterly releases handled?
The Fineract README states that official releases are created quarterly, at the end of each quarter, following the ASF release policy, and that end-of-life releases are archived. The website lists 1.15.0 as the current stable release. You control when you adopt a release, which is the main change from a SaaS core where the vendor sets the upgrade schedule. Each upgrade still requires regression testing of your products, database migration review, and a rollback plan. Budget for this as a recurring operating activity. DeployOpen offers upgrades and continuous testing as ongoing retainers, scoped in writing.
Who is responsible for security once Fineract is self-hosted?
Responsibility moves to you. With Mambu, the vendor operates the SaaS platform and its cloud hosting. With Fineract, your team or your partner owns the infrastructure, identity and access, network segmentation, secrets, patching, logging, backups and security testing of the application and APIs. Multi-tenant configuration adds risk, because API requests carry a Fineract-Platform-TenantId header and tenant connections come from a tenants database, so tenant isolation must be tested. Ask Mambu for its documented shared responsibility terms so you can compare them with the controls you would own.
When staying on Mambu is the better decision
Staying on Mambu is the stronger choice when the institution wants a vendor to operate the core, not its own team. Mambu describes itself as a cloud-native SaaS core banking platform and announced general availability on Amazon Web Services, Google Cloud and Microsoft Azure on October 24, 2022, so a bank that needs a multi-cloud footprint or a specific hyperscaler region can get one without building the hosting itself. Fineract, by contrast, is headless and ships no user interface, and its README warns that a production deployment can be complex, costly and time-consuming. If your platform team is small and already stretched by payments, fraud and regulatory reporting, the operating load of a self-hosted core may cost more than the subscription it replaces.
The second case is release cadence and support. Fineract publishes official releases quarterly under the ASF release policy, and the project does not provide a comprehensive production deployment guide, so the operator owns patching, upgrade testing and incident response. Ask Mambu to put in writing its release notes process, its support tiers, its uptime commitments and what it covers during a regional incident, then compare those answers with what your own on-call rota can sustain at 3 a.m. Also confirm whether your product catalogue depends on features that exist only in Mambu's roadmap or on Fineract's configurable products and business rules, because a gap found after cutover is far more expensive than one found in a proof of concept.
How DeployOpen helps you evaluate, implement or migrate
DeployOpen is a Chainscore Labs company that plans, implements, customizes, hardens, documents and supports self-hosted open-source platforms inside your own cloud accounts, data centers or air-gapped networks. For Mambu vs Apache Fineract, we start with a written scope that tests your product fit before any build begins.
How we scope
- Map your current Mambu loan, deposit and payment products against Fineract's product and business rule configuration.
- Inventory Mambu API integrations, reporting feeds, and downstream ledger and accounting consumers that a Fineract core would need to replace.
- Agree deliverables, timelines and acceptance criteria in writing before work starts, since most engagements are fixed-scope.
How we build
- Deploy Fineract with PostgreSQL, tenant databases and read, write and batch instances sized to your transaction profile.
- Configure products, accounting mappings and interfaces, then test them through the REST APIs with your finance and operations teams.
- Run security testing and document controls and evidence so your internal and external reviewers can assess the platform.
How we hand over
- Deliver runbooks for upgrades, quarterly Fineract releases, Liquibase migrations and backup and restore procedures.
- Train your platform, database and banking operations staff so the in-house team can run the core without vendor dependency.
- Document the architecture, configuration decisions and open items so your team owns the platform after handover.
How we support
- Offer ongoing support, upgrades and continuous security testing as a retainer after the initial engagement ends.
- Plan upgrade windows with you so that quarterly Fineract releases are tested in a non-production environment first.
- Confirm with your compliance and risk teams which evidence you need from DeployOpen and from independent auditors, since DeployOpen does not issue audit reports or certifications.
