Streaming & event ingestion
Capture Kafka, queues, CDC streams, and batch files into one engine — no bespoke glue code, no per-event pricing.
Why this belongs on your own infrastructure
Streaming and batch should not be two different teams, two different tools, and two different bills. Bridge unifies them: consume from Kafka, Kinesis, and queues, route CDC into streams, and ingest batch files — all through one engine with backpressure handling and in-flight transformation, deployed inside your own network.
Common challenges
Glue-code sprawl
Every new topic and file format spawns another fragile script nobody owns.
Backpressure & replay
Consumers fall behind under load and there is no clean way to replay from a safe offset.
Exactly-once semantics
Duplicate or lost events corrupt downstream aggregates and ledgers.
Batch + stream split
Running separate batch and streaming stacks doubles operational surface and cost.
Built for exactly these constraints
Capabilities drawn from production deployments — log-based capture, in-perimeter operation, and a spend you can predict.
Kafka & queue connectors
Native consumers for Kafka, Kinesis, and message queues with offset management.
CDC-to-stream
Log-based changes are published as events for downstream stream processing.
File ingestion
Batch files are captured and routed without bespoke loaders.
Backpressure handling
The engine slows gracefully and resumes from checkpoints under load.
In-perimeter operation
Run inside your VPC; no event data is processed by a third party.
Predictable cost
No per-event pricing — throughput is covered by a capped subscription.
What the pipeline looks like
All stages run inside your network. No data egresses unless you choose to.
Ready to put streaming & event ingestion into production?
Book a 30-minute demo scoped to your stack, or start a free evaluation license today.