Toshi VS OpenSearch

Compare Toshi vs OpenSearch and see what are their differences.

OpenSearch

🔎 Open source distributed and RESTful search engine. (by opensearch-project)
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Toshi OpenSearch
12 19
4,108 8,645
0.5% 3.5%
6.1 9.9
3 months ago 1 day ago
Rust Java
MIT License Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.

Toshi

Posts with mentions or reviews of Toshi. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-06-20.

OpenSearch

Posts with mentions or reviews of OpenSearch. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-08-30.

What are some alternatives?

When comparing Toshi and OpenSearch you can also consider the following projects:

elasticsearch-rs - Official Elasticsearch Rust Client

Elasticsearch - Free and Open, Distributed, RESTful Search Engine

MeiliSearch - A lightning-fast search API that fits effortlessly into your apps, websites, and workflow

graylog - Free and open log management

narg - A tool to generate LC/AP formulas for a given seed in Noita.

Apache Solr - Apache Lucene and Solr open-source search software

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

lnx - ⚡ Insanely fast, 🌟 Feature-rich searching. lnx is the adaptable, typo tollerant deployment of the tantivy search engine.

vector - A high-performance observability data pipeline.

scaphandre - âš¡ Energy consumption metrology agent. Let "scaph" dive and bring back the metrics that will help you make your systems and applications more sustainable !