Quickwit – OSS Alternative to Elasticsearch, Splunk, Datadog
Hi folks, Quickwit cofounder here. We started Quickwit 3 years ago with a POC, "Searching the web for under $1000/month" (see HN discussions [0]), with the goal of making a robust OSS alternative to Elasticsearch / Splunk / Datadog. We have reached a significant milestone with our latest release (0.7) [1], as we have witnessed users of the nightly version of Quickwit deploy clusters with hundreds of nodes, ingest hundreds of terabytes of data daily, and enjoy considerable cost savings. To give you a concrete example, one company is ingesting hundreds of terabytes of logs daily…
In plain words
Quickwit is an open-source search and log analytics platform designed as an alternative to Elasticsearch, Splunk, and Datadog. It enables organizations to ingest and search large volumes of log data across distributed clusters while significantly reducing infrastructure costs. The platform supports native Kafka integration, provides exactly-once processing semantics, and scales to handle hundreds of terabytes of daily ingestion. It targets DevOps teams and enterprises seeking cost-effective log management solutions.
written from the facts on this page · September 2026
From the sources
In the maker’s words, at launch
Hi folks, Quickwit cofounder here. We started Quickwit 3 years ago with a POC, "Searching the web for under $1000/month" (see HN discussions [0]), with the goal of making a robust OSS alternative to Elasticsearch / Splunk / Datadog. We have reached a significant milestone with our latest release (0.7) [1], as we have witnessed users of the nightly version of Quickwit deploy clusters with hundreds of nodes, ingest hundreds of terabytes of data daily, and enjoy considerable cost savings. To give you a concrete example, one company is ingesting hundreds of terabytes of logs daily and migrating from Elasticsearch to Quickwit. They divided their compute costs by 5x and storage costs by 2x while increasing retention from 3 to 30 days. They also increased their durability, accuracy with exactly-once semantics thanks to the native Kafka support, and elasticity. The 0.7 release also brings better integrations with the Observability ecosystem: improvements of the Elasticsearch-compatible API and better support of OpenTelemetry standards, Grafana, and Jaeger. Of course, we still have a lot of work to be a fully-fledged observability engine, and we would love to get some feedback or suggestions. To give you a glance at our 2024 roadmap, we planned to focus on Kibana/OpenDashboard integration, metrics support, and pipe-based query language. [0] Searching the web for under $1000/month: https://news.ycombinator.com/item?id=27074481 [1] Release blog post: https://quickwit.io/blog/quickwit-0.7 [2] Open Source Repo: https://github.com/quickwit-oss/quickwit [3] Home Page: https://quickwit.io
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