Everything you need to build, operate, and scale real-time data pipelines — in one place.
Ingest from any source — Kafka, Kinesis, HTTP, WebSocket, or custom protocols. Our ingestion layer automatically handles schema detection, validation, and backpressure.
At the core: a distributed stream processing engine that executes SQL-like queries on live data. Windowing, joins, aggregations — all in real time.
Deploy models directly on streaming data. Our inference runtime supports ONNX, TensorFlow, and PyTorch — no batching, no cold starts.
Live dashboards, alerts, and reports. Build custom views or use our 40+ pre-built widgets. Export to Grafana, Datadog, or any BI tool.
Define anomaly thresholds, set up escalation policies, and integrate with PagerDuty, Slack, Opsgenie. Never miss a critical event.
Data lineage tracking, schema registry, access controls, and audit logs. SOC 2 Type II certified, GDPR and HIPAA compliant.
A unified architecture from ingestion to insight. Deploy on-prem, in your cloud, or use our managed infrastructure.
End-to-end latency: <1ms · Throughput: 10M+ events/s per node