Elastic Moving to SSPL

This page summarizes the projects mentioned and recommended in the original post on news.ycombinator.com

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  • sonic

    🦔 Fast, lightweight & schema-less search backend. An alternative to Elasticsearch that runs on a few MBs of RAM.

  • > https://github.com/valeriansaliou/sonic

    This is actually very interesting project. Do we have some benchmark that sonic works on huge scale with lot of data?

  • Typesense

    Open Source alternative to Algolia + Pinecone and an Easier-to-Use alternative to ElasticSearch ⚡ 🔍 ✨ Fast, typo tolerant, in-memory fuzzy Search Engine for building delightful search experiences

  • Adding Typesense to the list as an easier-to-use alternative to ElasticSearch: https://github.com/typesense/typesense

    One thing to point out though is that Typesense, MeiliSearch (and Algolia) are designed for Instant Search experiences, and so hold the entire index in memory. So for petabyte scale data (like logs) it might be wasteful (and expensive) to store that size of data in memory. This is where ElasticSearch shines and of course comes with it the overhead of managing it.

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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  • VictoriaMetrics

    VictoriaMetrics: fast, cost-effective monitoring solution and time series database

  • > at grafana labs we are closely following these developments, and are constantly wrestling with decisions around what is best for our own licensing strategy.

    It would be great to see a list of pros and cons for approaches taken by ElasticSearch, MongoDB, TimescaleDB regarding licensing.

    BTW, we at VictoriaMetrics do not plan to change license for published source code. All the VictoriaMetrics source code is published under Apache 2.0 license [1].

    [1] https://github.com/VictoriaMetrics/VictoriaMetrics/blob/mast...

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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