typesense-playground
Elasticsearch
| typesense-playground | Elasticsearch | |
|---|---|---|
| 1 | 91 | |
| 1 | 68,069 | |
| - | 1.3% | |
| 5.1 | 10.0 | |
| over 2 years ago | 3 days ago | |
| Shell | Java | |
| - | 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.
typesense-playground
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⚡ 🔍 Typesense search engine: an easier-to-use alternative to ElasticSearch
Just like most search engine tools, Typesense is a NoSql document-oriented database. For the current example, I'll self-host Typesense on my local machine using the official docker image, as you can see in the example source code. There are few parameters to configure the Typesense server, but you could let the default values and just configure the --api-key (admin API key that allows all operations) and the --data-dir (path to the directory where data will be stored on disk) parameters. Take a look at the typesense service on docker-compose:
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?
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
OpenSearch - 🔎 Open source distributed and RESTful search engine.
Apache Superset - Apache Superset is a Data Visualization and Data Exploration Platform [Moved to: https://github.com/apache/superset]
bleve - A modern text/numeric/geo-spatial/vector indexing library for go
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
django-haystack - Modular search for Django