IceGate
An open-source Observability Data Lake Engine. Fast, cost-effective, and scalable observability data storage built on open standards.
Built for Modern Observability
IceGate leverages cutting-edge technologies to provide a robust observability platform.
Highly Scalable
Independent scaling of compute resources based on workload demands. Scale ingest and query separately.
ACID Transactions
Full transaction support without requiring a dedicated OLTP database. Built on Apache Iceberg and own queue based on WAL on object storage.
Exactly-Once Delivery
Reliable data ingestion with no data loss or duplication. Every event is processed exactly once.
Real-Time Queries
Access live data through WAL while maintaining historical query capabilities. No lag between ingest and query.
Open Standards
Built on Apache Iceberg, Arrow, and Parquet with OpenTelemetry protocol support. No proprietary formats.
Cost-Effective
Object storage-based architecture minimizes infrastructure costs. Pay only for what you use.
Fault-Tolerant
Designed for resilience and high availability. Automatic recovery from failures.
No Vendor Lock-in
Standard formats allow querying with any Iceberg-compatible tool. Your data, your choice.
Why IceGate?
Traditional observability platforms lock you into vendor-specific formats and expensive infrastructure. IceGate solves these problems by providing a cost-effective, scalable, and open observability data lake.
Our Solution
IceGate stores all data—WAL, catalog, and data layer—in object storage using open formats. Query your observability data with any Iceberg-compatible tool. Scale compute independently. Pay object storage prices, not observability platform prices.
Use Cases
IceGate fits seamlessly into modern observability workflows.
Cost-Effective Observability
Reduce observability costs by 10x or more by leveraging object storage instead of expensive block storage or proprietary solutions.
Multi-Tenant Scaling
Scale components independently based on demand. Handle spikes in one tenant without affecting others.
Long-Term Data Retention
Keep observability data for years at object storage prices. Query historical data without rehydration.
Real-Time Monitoring
Live data access through WAL combined with historical queries. Get alerts in real-time while analyzing trends.