Alternatives
Products that do what Quickwit – OSS Alternative to Datadog, Elasticsearch does
Hi HN, Quickwit cofounder here! Quickwit is a cloud-native search engine for observability, and we have just released a significant upgrade with performance improvements, extended Elasticsearch API compatibility, and better integration with OpenTelemetry tools, Grafana, and Jaeger. This release is also a significant milestone as we have been witnessing users of the nightly version of Quickwit deploy clusters with hundreds of nodes, ingest hundreds of terabytes of data daily, and enjoy additional cost savings. We are very excited to put it in the hands of all of our users. One report…
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Hi everyone, During the last 3 months, I worked on the Quickwit search engine to adapt it for AWS Lambda runtime. I wrote a blog post to announce the beta release [0] and two tutorials to quickstart: - Indexing and searching 20 million logs entries dataset [1]. - Implementing an E2E use case where an application generates data, uploads it in batches to S3. Users can then search through an HTTP API authenticated with an API Key [2]. On the performance side, I observed on a 20 million log dataset that search is sub-second, and analytics queries take from 1 to 4 second. On the cost side,…
2024 · github.com
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2016 · github.com
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2016 · appbaseio.github.io
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2016 · qbox.io
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2016 · searchkit.co
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Hi! According to my benchmark tests I've just built the fastest free-text search engine in the world [0]. However, providing proof of that as well as making people care has proven to be a near impossible task. I could use some help from fellow programmers to both work on the formal proof but also to test this code against the Big5's offerings of full-text search. Would you care to go fetch an amount of common crawl data to test the abilities of ResinDB? If not, then do you perhaps have another strategy to convince people when you have invented something big? Is writing papers and formally…
2017
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2017 · github.com
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Preface: we love Hacker News. It's been one of the constant good things in all of our lives, and is by far our favorite place to talk with people about what we're doing. I figured it was worth doing a special post for something we've been cooking up, rather than just linking to what everyone else gets. So here it is. We just turned on a product we're calling "Elastic Deployments". These are MongoDB clusters that scale vertically with no intervention. As a database grows, it has access to more RAM, IOPs and CPU. More here:…
2014
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2023 · github.com
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Hi HN, For the last 18 months, I've been working solo on building a completely independent search engine from scratch. Today, I'm opening it up for beta testing and would love to get your feedback. The project powers two public sites from the same 2-billion-page index: Searcha.Page: A session-aware search engine that uses a persistent browser key (not a cookie) for better context. Seek.Ninja: A 100% stateless, privacy-first version with no identifiers at all. The entire stack is self-hosted on a single ~$4k bare-metal EPYC server in my laundry room (no cloud, no VC funding). The search…
2025
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In the sprit of releasing to the public early, I would like to share a search engine/portal I have been building in my spare time: https://www.runnaroo.com Why: I started to not be able to easily tell the different between ads and organic search results in other search engines (even on DuckDuckGo), and I have been disappointed with recent UI changes in a lot of the major search engines. My main guiding rule when adding features has been to ask, "is it better for the user?" Important to know: I still believe Google currently returns the most relevant web results, so like…
2020
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Hey everyone! I am excited to share updates on four of my & my teams' open-source projects that take large-scale search systems to the next level: USearch, UForm, UCall, and StringZilla. These projects are designed to work seamlessly together, end-to-end—covering everything from indexing and AI to storage and networking. And yeah, they're optimized for x86 AVX2/512 and Arm NEON/SVE hardware. USearch [1]: Think of it as Meta FAISS on steroids. It's now quicker, supports clustering of any granularity, and offers multi-index lookups. Plus, it's got more native bindings than probably…
2023 · usearch-images.com
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