opendistro-build
Elasticsearch
opendistro-build | Elasticsearch | |
---|---|---|
2 | 91 | |
347 | 67,632 | |
- | 0.6% | |
2.9 | 10.0 | |
about 2 years ago | 7 days ago | |
Shell | Java | |
Apache License 2.0 | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
opendistro-build
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Amazon: Not OK – why we had to change Elastic licensing
You should consider opening an issue on their github [0]?
AWS, from what I know, takes security seriously, and given they themselves use OpenDistro internally, this should become a top priority for them.
[0] https://github.com/opendistro-for-elasticsearch/opendistro-b...
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Elasticsearch is dead, long live Open Distro for Elasticsearch
By fork they mean: a binary build straight from the unmodified elastic source code using the elastic build file that creates the OSS build bundled with a handful of plugins and components to add alternatives some of the things elastic bundles. They don't even build it themselves and it gets downloaded in binary form straight from Elastic's servers.
If you don't believe me, this is the line in the code where they 'fork' in their build script: https://github.com/opendistro-for-elasticsearch/opendistro-b...
It will be interesting to see if opendistro actually starts contributing to Lucene or adding value to the elastic code base or whether this 'fork' is effectively frozen in time and doomed to go nowhere due to a lack of actual development on the core product.
I seriously doubt that they are going to put any effort whatsoever in that. Because in two years of pretending they have a fork, there has been no serious code contributions from their side at all that I'm aware off. Correct me if I'm wrong.
If you want to back an OSS version of related technology, maybe use something like Apache Solr, which continues to provide many of the same features and is part of the same ecosystem of users and developers that work on Lucene, which also powers Elasticsearch and which of course continues to contribute a lot to Lucene; unlike Amazon.
Elasticsearch
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Elasticsearch Version 9
You could check out their GitHub and see what is going on https://github.com/elastic/elasticsearch/issues
- One .gitignore to rule them all
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Who's hiring developer advocates? (October 2023)
Link to GitHub -->
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Do we think about vector dbs wrong?
I believe the 1024 limit has been upped in recent versions of Elasticsearch
https://github.com/elastic/elasticsearch/issues/92458
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Elasticsearch VS openobserve - a user suggested alternative
2 projects | 30 Aug 2023
- A dedicated Elasticsearch query language (ES|QL)
- Fleet datastreams: custom index templates
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Integrating Elasticsearch with Node.js Applications
Elasticsearch is written in Java and its source code is available on Github.
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Murmur3 hash plugin for nested objects?
I don't think the murmur3 hash implementation has changed since it was added as the default in version 2.0 (see the [changes](https://github.com/elastic/elasticsearch/commits/main/server/src/main/java/org/elasticsearch/cluster/routing/Murmur3HashFunction.java)). The plugin itself has seen [more changes](https://github.com/elastic/elasticsearch/commits/main/plugins/mapper-murmur3) but that's IMO because of internals and not visible changes in the calculations.
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Mongo or Mysql for 10tb of JSON documents, I'm questioning my previous choice.
Mysql is not as open source as postgres (long story). And you can see how open elasticsearch is by just having access to the bugs database https://github.com/elastic/elasticsearch/issue
What are some alternatives?
bleve - A modern text/numeric/geo-spatial/vector indexing library for go
OpenSearch - 🔎 Open source distributed and RESTful search engine.
cloki-go-legacy - Clickhouse Loki API in GO (WIP)
Apache Superset - Apache Superset is a Data Visualization and Data Exploration Platform [Moved to: https://github.com/apache/superset]
pgvector - Open-source vector similarity search for Postgres
Whoosh
MeiliSearch - A lightning-fast search API that fits effortlessly into your apps, websites, and workflow
elasticsearch-dsl-py - High level Python client for Elasticsearch
Metabase - The simplest, fastest way to get business intelligence and analytics to everyone in your company :yum:
Milvus - A cloud-native vector database, storage for next generation AI applications
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