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Zenith is an open-source columnar database in Rust, purpose-built for AI agent traces — long, sparse, high-cardinality JSON spans with rich text, late annotations, and bursty ingest. It runs on S3 + Postgres, exposes HTTP / gRPC / OTLP, speaks SQL and ZenithQL, and bakes full-text + vector + JSON-path search directly into segments (no sidecar indexes). Apache 2.0.
Hey Product Hunt Alex here from Polarity. We open-sourced ZenithDB, a Rust columnar engine for AI agent traces.
We were always frustrated by the cost and latency of running agent observability on Postgres, ClickHouse, and Langfuse, so we ran investigations that led to an
observation: agent traces are not the workload these backends were designed for. Spans within a trace are tightly correlated, spans across traces are not, and the
hot query is "give me this whole trace, decoded," not "scan a billion rows and aggregate." Trace-locality is the right primitive for this, and globally-sorted
tables are wasted at this scale.
Thats why we built ZenithDB, world's fastest database for storing AI Agent Traces!
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About ZenithDB on Product Hunt
“Fastest Database for Agent Traces”
ZenithDB was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #26 on the daily leaderboard. Zenith is an open-source columnar database in Rust, purpose-built for AI agent traces — long, sparse, high-cardinality JSON spans with rich text, late annotations, and bursty ingest. It runs on S3 + Postgres, exposes HTTP / gRPC / OTLP, speaks SQL and ZenithQL, and bakes full-text + vector + JSON-path search directly into segments (no sidecar indexes). Apache 2.0.
ZenithDB was featured in Open Source (68.4k followers), GitHub (41.2k followers) and Database (2.1k followers) on Product Hunt. Together, these topics include over 33.7k products, making this a competitive space to launch in.
Who hunted ZenithDB?
ZenithDB was hunted by Polarity Labs. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
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Polarity Labs