Healthcare organizations are under growing pressure to connect legacy EHR (Electronic Health Record) and ERP (Enterprise Resource Planning) systems while safeguarding patient privacy and meeting strict compliance standards.
Most of these systems — Epic, Cerner, MEDITECH, Infor, Oracle, SAP, and others — rely on enterprise-grade databases like Oracle, SQL Server, IBM DB2, SAP HANA, InterSystems IRIS, and PostgreSQL. Building and securing custom APIs for each can take months and create compliance risk.
This list focuses on low-code and no-code platforms that:
Why it’s here:
DreamFactory combines no-code REST API generation with low-code extensibility for custom logic, making it one of the fastest and most flexible ways to expose healthcare data securely to front end applications and AI.
In minutes, it can turn Oracle, SQL Server, IBM DB2, SAP HANA, PostgreSQL, or InterSystems IRIS schemas into fully documented REST APIs — with role-based access control, authentication, and audit logging applied automatically.
Governance, Security and Compliance:
Deployment options:
No-code + low-code flexibility:
Why healthcare uses it:
DreamFactory enables hospitals to unlock data from ERPs and EHRs securely while maintaining data residency. It’s a natural fit for organizations balancing compliance, speed, and the need for occasional customization.
Why it’s here:
Denodo creates a virtualized data layer across multiple systems — Oracle, SQL Server, DB2, SAP HANA, and more — then exposes those datasets as REST or GraphQL APIs without replicating data.
Security and compliance:
Deployment: On-premise, private cloud, or hybrid.
Best for: Large health systems seeking to centralize governance without moving data.
Why it’s here:
WSO2 is a fully open-source API platform that can transform SQL databases into REST endpoints via Data Services and manage them through a self-hosted API Gateway.
Security and compliance:
Best for: IT teams wanting full control of their API lifecycle under an open-source license.
Why it’s here:
Boomi offers a low-code platform for building integrations and exposing them as APIs. Its local Atom runtime allows on-premise execution, keeping healthcare data behind the firewall while the control plane operates in Boomi’s managed cloud.
Security and compliance:
Best for: Mid-sized providers seeking a commercial iPaaS with strong connector coverage and hybrid deployment options.
Why it’s here:
MuleSoft supports rapid API creation via database connectors for Oracle, SQL Server, and DB2. It includes DataWeave for data transformation and an API Manager for policy enforcement and monitoring.
Security and compliance:
Best for: Large enterprise health systems with existing MuleSoft governance programs or extensive ERP/EHR integrations.
Platform |
Speed to REST |
DB Coverage |
Security Stack |
Deployment |
Compliance Support |
DreamFactory |
Minutes |
Oracle, SQL Server, DB2, HANA, IRIS, PostgreSQL |
RBAC, OAuth/SAML/LDAP, Audit |
On-prem or self-hosted cloud |
HIPAA, SOC 2, GDPR, ISO 27001 |
Denodo |
Fast (Virtualized) |
Oracle, SQL Server, DB2, HANA |
Row/Column Security, Masking |
On-prem / Hybrid |
HIPAA, HITRUST |
WSO2 |
Config-driven |
JDBC Sources |
OAuth2, JWT, Policy Gateway |
Fully On-prem |
HIPAA-aligned |
Boomi |
Low-code |
Major RDBMS |
OAuth2/SAML, Policy Mgmt |
Hybrid (Local Atom) |
HIPAA BAA, SOC 2 |
MuleSoft |
Low-code |
Any JDBC |
OAuth/JWT, RBAC |
On-prem / Hybrid |
HITRUST, HIPAA BAA |
Most platforms listed — such as DreamFactory, Denodo, Boomi, and MuleSoft — align with HIPAA by offering:
However, compliance depends not just on technology but also on configuration, deployment, and operational controls implemented by the healthcare organization.
Yes, some platforms — notably DreamFactory and WSO2 — support full on-premise or air-gapped deployment, making them ideal for hospitals, government, and classified networks where internet access is restricted or prohibited.
Most modern healthcare API tools blend both approaches to provide speed and flexibility.
Platforms like DreamFactory are “MCP-ready,” allowing AI systems (like OpenAI, Claude, or LangChain) to interact with governed APIs instead of raw databases. This ensures that AI agents only access approved data fields with full auditing and PHI masking in place.