Viewing profile — ignaciovdk

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Very cool!

We (Basekick Labs) we are the new maintainers of Liftbridge. It went dormant in 2022, and we're reviving it. Liftbridge adds Kafka-style durability to NATS: commit log, partitions,…

Arc is OSS under AGPL-3.0: https://github.com/Basekick-Labs/arc

Hey HN, I’ve posted here before about Arc, and wanted to share a quick update. We’ve been heads down the last few weeks, and things are moving fast, performance is up, features are…

Two weeks ago, we open-sourced Arc Core: https://github.com/Basekick-Labs/arc Today, the results are in, Arc is now the fastest time-series database on ClickBench, outperforming Qu…

Hey everyone, just wanted to say thank you for all the feedback, questions, and curiosity over the past week. https://news.ycombinator.com/item?id=45505407 This community pushed Ar…

That’s fair, the number alone doesn’t mean much without context. The benchmark measures fully written time-series records, not bytes. Each record typically includes 1–4 fields, tag…

Thanks! Let’s go by parts, as Jason would say Schema inference: yes, Arc infers the schema automatically from incoming data (both for MessagePack and Line Protocol). Each measureme…

Hey, thanks for asking. I’d say both roles are possible, though the original intent of Arc was indeed to act as an offload / long-term store for systems like TimescaleDB, InfluxDB,…

Great questions, thanks! Partitioning: yes, Arc partitions by measurement > year > month > day > hour. This structure makes time-range queries very fast and simplifies retention po…

Hey there, great questions. The benchmarks weren’t run on the same machine as MinIO, but on the same network, connected over a 1 Gbps switch, so there’s a bit of real network laten…

Awesome, would love to hear what you think once you try it out! If it’s not too much trouble, feel free to share feedback at ignacio [at] basekick [dot] net.