Developers · Integration

Fifteen-plus connectors. One task-flow surface.

Apinizer's API Integrator turns enterprise connectors into drag-and-drop steps. Database, Kafka, RabbitMQ, FTP, IBM MQ, file systems, HTTP, SOAP, gRPC — all governed by the same gateway.

Connector library (15+) — For developers use case overview from Apinizer.
For developers · Connector library (15+)

The problem

Most teams treat 'integration' as a tax they pay forever.

Every new system needs a connector, an adapter, and a maintenance owner. Teams either buy a heavy iPaaS (and inherit a parallel ops stack) or hand-roll point-to-point integrations (and inherit a maintenance backlog). Apinizer's connector library makes integration a feature of the gateway: 15+ connectors, drag-and-drop task flows, one runtime, one audit.

Capabilities

What Apinizer does here

Database connectors

PostgreSQL, MySQL, MSSQL, Oracle, Db2, Mongo — read, write, stored procedures, with pooled connections and audit.

Messaging connectors

Kafka, RabbitMQ, IBM MQ, Solace — produce, consume, transform in the same task flow. Backpressure handled.

File and protocol

FTP / SFTP, file system, HTTP, SOAP, gRPC, email — every legacy and modern surface a connector.

Drag-and-drop task flow

Compose steps visually — read, transform, branch, fan-out, fan-in, write. Same designer engineers and analysts both use.

Governed at the gateway

Connector credentials in the encrypted vault. Each step audits. Rate limits and retries apply.

As-code-ready

Task flows ship as APIops manifests. Review in Git, apply through pipelines.

Use cases

In production, this looks like…

  • Banking

    Istanbul bank wires core banking to Kafka and partner SFTP

    Task flow: pull from core, transform, fan-out to Kafka topic and partner SFTP. One designer, two destinations, one audit.

  • Manufacturing

    Stuttgart OEM streams MES events into 4 systems

    Task flow consumes from Kafka, branches by event type, writes to ERP, data lake, partner API, and alerting. No separate integration product.

  • Public sector

    Stockholm agency lifts FTP file drops into a REST API

    Connector watches an SFTP folder; task flow parses and exposes each record as a governed REST endpoint. Legacy partners keep dropping files; new partners get an API.

  • Retail

    Madrid retailer integrates POS and ERP through one task flow

    POS pushes via HTTP; flow transforms; ERP receives via IBM MQ. Visual designer means store-ops engineers contribute changes.

  • Insurance

    Amsterdam insurer feeds claim events into a data lake + ML pipeline

    Task flow consumes from RabbitMQ, decorates with policy data from PostgreSQL, writes to S3 and triggers a model retrain.

  • Telecom

    Milan carrier bridges legacy SOAP to modern partners via task flow

    Inbound REST hits the gateway, flow transforms to SOAP, calls the legacy host, returns clean JSON. Modern partners never see SOAP.

  • Energy

    Prague utility ingests SCADA data into the analytics lake

    Kafka connector consumes SCADA events; task flow enriches with topology data; writes to data lake and alarming surface in one pass.

  • Government

    Baku ministry routes citizen requests across 9 backend systems

    One task flow per request type. Visual designer accepted by both engineers and policy analysts; changes ship in days, not quarters.

Integration as a gateway feature

Plug into anything. Govern at the gateway.

A 30-minute walkthrough — connectors, task flows, governance — on a Kubernetes of your choice.