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new cb25cf289e3 Add IceGate to the "Powered By" section (#806)
cb25cf289e3 is described below
commit cb25cf289e303e734b6920b32bad07647cdcc26f
Author: Evgeniy Mineev <[email protected]>
AuthorDate: Thu Aug 13 10:12:08 2026 +0400
Add IceGate to the "Powered By" section (#806)
---
powered_by.md | 10 ++++++++++
1 file changed, 10 insertions(+)
diff --git a/powered_by.md b/powered_by.md
index a6769c95740..a909376e3f6 100644
--- a/powered_by.md
+++ b/powered_by.md
@@ -151,6 +151,15 @@ short description of your use case.
directly on top of Amazon S3. Our approach is simple: ingest the
OpenTelemetry data in an S3 bucket as
Parquet files in Iceberg table format and query them using DuckDB with
milliseond retrieval and zero egress cost.
Parquet is converted to Arrow format in-memory enhancing both speed and
efficiency.
+* **[IceGate][63]:** IceGate is an open source observability data lake engine
+ written in Rust. It receives OpenTelemetry logs, traces, metrics, and events,
+ stores them as Apache Iceberg tables on object storage, and serves them
through
+ Apache Arrow Flight SQL and HTTP APIs compatible with existing open source
+ observability clients. IceGate uses Apache Arrow as its in-memory format on
both
+ the ingest and query paths, Apache Parquet for its write-ahead log and
Iceberg
+ data files, Apache Arrow Flight SQL for BI and ad-hoc SQL clients over gRPC,
+ Apache OpenDAL for S3-compatible access, and Apache DataFusion for query
+ execution.
* **[InAccel][29]:** A machine learning acceleration framework which leverages
FPGAs-as-a-service. InAccel supports dataframes backed by Apache Arrow to
serve as input for our implemented ML algorithms. Those dataframes can be
@@ -314,3 +323,4 @@ short description of your use case.
[60]: https://iomete.com
[61]: https://github.com/Eventual-Inc/Daft
[62]: https://github.com/lakehq/sail
+[63]: https://icegate.tech
