SyncWave Integrate
One platform to connect everything — enterprise service bus, event-driven microservices, Kafka streaming, gRPC, and the full technology stack your architecture demands.
The Integration Platform for Modern Enterprises
Four core capabilities — from legacy ESB connectivity to cloud-native event streaming — designed to work standalone or together.
Enterprise Service Bus
Centralised message routing, transformation and orchestration — bridging legacy systems, SaaS and cloud services through one unified backbone.
Microservices Mesh
Service discovery, circuit breakers, load balancing and distributed tracing — full observability across your entire microservices topology.
Event Streaming
Kafka-powered high-throughput event pipelines with exactly-once delivery semantics, schema registry and real-time stream processing.
API Gateway
Design-first OpenAPI management, versioning, rate limiting, mTLS enforcement and a self-service developer portal out of the box.
From Monolith to Mesh
Whether you're modernising a legacy monolith or starting cloud-native, SyncWave Integrate provides the integration spine that holds your architecture together — without the vendor lock-in.
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Enterprise Service Bus (ESB)
Centralised routing, message transformation (XML ↔ JSON ↔ Avro), content-based routing and protocol mediation — REST, SOAP, JMS, AMQP and more.
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Microservices Decomposition
Domain-driven service boundaries, contract-first API design and automated dependency mapping to safely decompose monoliths into independently deployable services.
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Service Mesh (Istio / Envoy)
Sidecar-injected mTLS, traffic policies, retries, timeouts and Canary deployments — all managed via declarative configuration, not application code.
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Distributed Tracing & Observability
OpenTelemetry-native tracing across every service call, with automatic correlation IDs propagated through async message chains.
Synchronous & Asynchronous Architectures
SyncWave Integrate supports both communication patterns — choose the right one per use case, or combine them in a single workflow.
Synchronous (Request / Reply) SYNC
Caller waits for an immediate response. Ideal for real-time queries, authentication flows and user-facing transactions where latency matters.
- gRPC — high-performance, strongly-typed binary RPC over HTTP/2; ideal for inter-service calls in polyglot environments
- REST / OpenAPI — HTTP request-reply with full API gateway policies (rate limiting, auth, versioning)
- GraphQL — flexible query layer for aggregating data from multiple microservices in a single round trip
- WebSockets — persistent bidirectional channels for dashboards, notifications and live data feeds
Asynchronous (Event-Driven) ASYNC
Producer fires an event and continues. Consumers react in their own time. Decouples services, absorbs load spikes and enables fan-out at scale.
- Apache Kafka — distributed commit log for high-throughput event streaming with durable retention and consumer-group offsets
- ActiveMQ / Artemis — enterprise messaging broker supporting JMS, AMQP, MQTT and STOMP for reliable queue-based workflows
- Redis Streams / Pub-Sub — ultra-low-latency ephemeral messaging and caching, ideal for session state and real-time leaderboards
- Saga Pattern — choreography or orchestration sagas to manage distributed transactions across microservices without 2PC locking
When to use which pattern
The Technologies Inside SyncWave Integrate
Battle-tested open-source and enterprise technologies assembled into a single, managed integration platform.
Apache Kafka
Distributed event log for high-throughput, fault-tolerant streaming at millions of events/sec
ActiveMQ / Artemis
Enterprise JMS broker with AMQP, MQTT and STOMP support for reliable queue-based messaging
Redis
In-memory data store for sub-millisecond pub/sub, streams, caching and distributed session state
gRPC
Binary RPC over HTTP/2 with Protobuf schemas — strongly typed, streaming-capable, polyglot-ready
Spring Boot
Production-ready Java microservices with auto-configured Kafka, JPA, OAuth2 and actuator metrics
Go-lang
Statically typed, compiled microservices with native concurrency — ideal for high-throughput sidecar proxies and CLI tooling
Apache Camel
300+ component EIP (Enterprise Integration Patterns) library for route-based system integration and data transformation
WSO2 API Manager
Full API lifecycle management — publish, secure, throttle and monetise APIs across your organisation
AsyncAPI / OpenAPI
Schema-first contract definitions for both async event channels and synchronous REST APIs — machine-readable docs and validation
Istio / Envoy
Service mesh with automatic mTLS, traffic shaping, blue-green deployments and granular observability
OpenTelemetry
Vendor-neutral traces, metrics and logs auto-injected across all integrated services with Jaeger and Prometheus backends
Debezium (CDC)
Change Data Capture for streaming database mutations into Kafka topics in real time — no application code changes needed
Integration Patterns Built In
Enterprise Integration Patterns (EIP) implemented as managed, configurable building blocks — not custom code.
Content-Based Router
Route messages to different downstream services based on payload content, headers or metadata — no if-else logic in your application code.
Message Transformer
Bidirectional transformation between JSON, XML, Avro, Protobuf and CSV using declarative mapping rules — no custom serialisation code.
Aggregator & Splitter
Split a single message into parallel streams, process independently, then aggregate results back — fan-out/fan-in at the integration layer.
Dead Letter & Retry
Configurable exponential back-off retry policies with dead-letter queues, alerting and poison-message handling for every integration flow.
Competing Consumers
Multiple consumer instances process from the same queue in parallel, auto-scaling throughput to match inbound message rate dynamically.
Transactional Outbox
Guarantee consistency between your database write and Kafka publish using the transactional outbox pattern with Debezium CDC relay — no dual-write risk.
Event Streaming at Any Scale
SyncWave Integrate ships a fully managed Kafka cluster with schema registry, Kafka Connect for CDC pipelines and KSQL for stream processing — all monitored through a single dashboard.
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Durable Topic Retention
Configurable message retention from hours to forever — replay any event stream from any offset for auditing, debugging or reprocessing.
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Consumer Groups & Offsets
Independent consumer groups each maintain their own commit offset — add new consumers without impacting existing pipelines.
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Schema Registry (Avro / Protobuf)
Enforce backward/forward compatibility on every topic. Producers and consumers negotiate schemas automatically — no coordinated deploys required.
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