Siege - Real time data pipeline with a single command
Hi HN, we are so excited to be sharing this on here! Siege is the fastest and the simplest way to spin up a real-time data pipeline, which you can then query, filter, visualize with just clicks of some buttons, no need for any instrumentation or code changes. It works by capturing JSON data from your API transactions, transforming this data, and then storing it in an optimized columnar database for easy and fast querying. I've put together a 3-minute demo on Loom just now, showing you how I made real time dashboards in minutes:…
Siege - Real time data pipeline with a single command launched on June 18, 2024 with 6 votes, #1,458 of 4,672 launches that month and more than 50% of that year's launches.
What it does
In the maker’s words, at launch
Hi HN, we are so excited to be sharing this on here! Siege is the fastest and the simplest way to spin up a real-time data pipeline, which you can then query, filter, visualize with just clicks of some buttons, no need for any instrumentation or code changes. It works by capturing JSON data from your API…
Does a similar job
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Rocky – Rust SQL engine with branches, replay, column lineageApr 2026 · github.com · ▲122Hi HN, I'm Hugo. I've been building Rocky over the past month, shipping fast in the open. The binary is on GitHub Releases, `dagster-rocky` on PyPI, and the VS Code extension on the Marketplace. I held off on a broader announcement until the trust-system surface was coherent enough to talk about as one thing. The governance waveplan — column classification, per-env masking, 8-field audit trail on every run, `rocky compliance` rollup, role-graph reconciliation, retention policies — landed end-to-end last week in engine-v1.16.0 and rounded out in v1.17.4 (tagged 2026-04-26). That's the…

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