IceGate – Observability data lake engine

Name: IceGate – Observability data lake engine
Availability: InStock
Author: mineev

by mineev·Apr 13, 2026·15 points·5 comments

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AI Analysis

●●SolidBig BrainBold Bet

Apache Iceberg for observability data cuts costs versus Datadog and Honeycomb pricing.

Strengths

•Compute-storage separation enables independent scaling of processing and storage resources
•Open standards like Iceberg, Arrow, and Parquet prevent vendor lock-in
•WAL-based exactly-once delivery guarantees with real-time query access

Weaknesses

•Prototype status with 35 open issues indicates early development stage
•Metrics and traces support announced but logs-only functionality currently available

Post Description

Today we're (@sprosvirnin and I) 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.

This is our first release under Apache 2.0. We're building in the open and looking for contributors and early adopters who want observability without the markup.

Star us on GitHub: https://github.com/icegatetech/icegate

More info on https://icegate.tech

Documentation: https://docs.icegate.tech