The Ultimate Data Streaming Platform
Built to unify stream processing, connectors, and lakehouse gateways at massive scale
Kafka API compatible
Native support for Redis, NATS, and MQTT
Unified Data Plane
Handles app-app, app-storage, and storage-app natively: no external connectors.
Compute–Storage Separation
Scale CPU and I/O independently with policy-driven tiering on NVMe and object storage.
Partitionless Architecture
No hot partitions or rebalancing storms. Elasticity via per-stream gateways.
Unified Streaming + Analytics
Kafka-compatible delivery with inline transforms and enrichment in one engine.
Hardware-Efficient Runtime
Kernel-bypass, zero-copy, NUMA-aware networking for extreme throughput.
Native Multicast Fan-Out
One write serves thousands of consumers, no duplicate network or CPU work.
Pub/Sub Ultra-Low Latency
Secure by default
Secure Data Management: protects data with ACLs and TLS encryption.
Scales from one server to hundreds.
Multi-Tenant: one deployment can serve an entire enterprise.
Speed meets Reliability
The speed of Message-Oriented Middleware with the reliability of streaming, delivering real-time performance backed by a durable append-only log
Real-time Visualization
See the real-time data streaming and processing in action
Foundational layer for enterprise data movement
Ingest at scale. Normalize inline. Deliver everywhere.
Ingest at Scale
Ingest logs, metrics, traces, files, and binary streams from thousands of servers, VMs, apps, switches, and databases
Normalize Inline
Normalize and enrich data inline for a consistent structure
Distribute Everywhere
Distribute data in real time to Snowflake, ClickHouse, Databricks, and more
S3-Compatible Storage
Store all data in S3-compatible storage as Parquet or Iceberg
Zero Data Loss
Guarantee durability, replication, and zero data loss
Power Any Workload
Power any workload including analytics, AI, monitoring, and data pipelines