Building the future of observability data lakes with open standards

We build IceGate — an open-source observability data lake engine that brings the power of Apache Iceberg to logs, traces, metrics, and events.

Make observability data storage cost-effective, scalable, and vendor-neutral by leveraging open standards and object storage.

• Open Protocols — Native OpenTelemetry ingestion, Loki/Prometheus/Tempo-compatible query APIs
• Open Standards — Apache Iceberg tables, Arrow query engine, Parquet storage
• Cost-Effective — Object storage-first architecture with compute-storage separation
• Enterprise-Ready — ACID transactions, exactly once delivery, real-time queries

Traditional observability platforms lock your data in proprietary formats with unpredictable costs. IceGate takes a different approach:

• Your Data, Your Storage — All data lives in your object storage (S3, GCS, Azure Blob)
• No Vendor Lock-in — Standard formats mean you can query with any Iceberg-compatible tool
• Predictable Costs — Pay only for storage and compute you actually use
• Scale Independently — Ingest, query, and maintenance scale separately based on demand

git clone https://github.com/icegatetech/icegate
cd icegate
make dev  # Start full development stack

All projects are licensed under Apache License 2.0.

For support, feedback, or collaboration, please reach out to us at [email protected] or join our community on Slack.

_{Built with Apache Iceberg | Apache Arrow | Apache Parquet | OpenTelemetry}