Today we're launching the first open-source release of IceGate - a Rust-native engine that stores logs (metrics and traces coming soon) in Apache Iceberg tables on your own object storage. Observability costs are out of control. Teams pay per GB ingested, get locked into proprietary formats, and can't use their own data outside the vendor's UI. We built the first observability data lake engine to fix this.
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Why it matters:
ā 3x faster than nearest competitors. Rust + Apache DataFusion + Arrow do the heavy lifting.
ā Exactly-once delivery with WAL. No data loss, no duplicates - guaranteed.
ā Your data stays in open formats you control. No vendor lock-in. Ever.
ā Query logs through Loki-compatible API - works with your existing Grafana setup.
ā Ingest via standard OpenTelemetry (gRPC/HTTP). No proprietary agents.
ā Your data is in Iceberg tables - query it with Trino, Spark, Flink, DuckDB, or any tool in the Iceberg ecosystem.
ā Your observability data becomes a first-class asset of your data lake alongside business analytics.
ā Scale ingest, query, and storage independently. Full compute-storage separation provides stateless deployment.