Connector library (15+) — Use case

Database, Kafka, RabbitMQ, FTP, IBM MQ, file systems, and more — drag-and-drop task flows over the connectors that hold your enterprise together.

Developers · Integration · For developers

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.

Five-minute quickstart · Open API Integrator

The problem

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

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.

Real-world examples

Banking

Scenario: Istanbul bank wires core banking to Kafka and partner SFTP

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

Manufacturing

Scenario: Stuttgart OEM streams MES events into 4 systems

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

Public sector

Scenario: Stockholm agency lifts FTP file drops into a REST API

Outcome: 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

Scenario: Madrid retailer integrates POS and ERP through one task flow

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

Insurance

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

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

Telecom

Scenario: Milan carrier bridges legacy SOAP to modern partners via task flow

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

Energy

Scenario: Prague utility ingests SCADA data into the analytics lake

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

Government

Scenario: Baku ministry routes citizen requests across 9 backend systems

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

Recommended modules

API Integrator — Drag-and-drop task flows over the full connector library.
API Gateway — Runtime that fronts every task flow with auth, rate limit, and audit.
API Creator — DB-2-API and Script-2-API integrate the same connectors as task flows.
Analytics Engine — Per-flow, per-step telemetry — see what each integration is doing.

Resources

Integrator overview — Connectors, task flow primitives, governance behavior.
API Integrator product — Drag-and-drop task flows; 15+ connectors.
API Creator hub — DB-2-API, Script-2-API, Mock API.
Legacy modernization — What integration is really for — coexistence over rewrite.
Analytics Engine — Per-flow telemetry and audit join.
Architecture overview — Where Integrator and the connector library fit in the topology.

DB-2-API — For developers
Script-2-API (Groovy / JS) — For developers
Legacy modernization — For executives
OpenAPI-first design — For developers

Next step

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.

Book a Demo · Read the docs