charabia
db-benchmarks
charabia | db-benchmarks | |
---|---|---|
5 | 24 | |
211 | 111 | |
4.7% | 2.7% | |
8.4 | 4.9 | |
4 days ago | 12 months ago | |
Rust | PHP | |
MIT License | GNU Affero General Public License v3.0 |
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.
charabia
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tashkil: a lightweight library for removing Arabic diacritics
I hope to use this to submit a PR to meilisearch/charabia in the future based on the excellent example by benny-n in his pull request adding Hebrew support.
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Postgres Full Text Search vs. the Rest
Good to know. If you find some Russian language support improvement we can do, don't hesitate to create an issue on our tokeniser https://github.com/meilisearch/charabia.
Moreover, it's Hacktoberfest. If you want to help us improve the language support, it would be awesome!
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Meilisearch just announced its $15M Serie A, the search Rust engine strikes again
The Language support is mainly handled by the tokenizer where you can find specialized Segmenters and Normalizers that target some Language subtilities: https://github.com/meilisearch/charabia
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ZincSearch – lightweight alternative to Elasticsearch written in Go
Hi @tommoor
I work at Meilisearch so maybe a biased answer.
We do support other languages than English, it actually depends on what are the languages supported by our tokenizer https://github.com/meilisearch/charabia, so any language that uses whitespace to separate words(including English), Chinese, Japanese, Hebrew and Thai (Japaneze and Thai might work a little bit less)
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Where to start to learn about implementing website's search engine?
Hello u/pkeep-go, at MeiliSearch we are implementing with the help of a contributor the CJK language support. We already have the Chinese support with Jieba but a contributor is adding the Korean and Japaneese support with Lindera. For us, it's really important to have people trying and helping us with languages we don't speak. If you want to make any contribution on the tokenization/language support part, we'll be happy to help!
db-benchmarks
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Dozer vs. AirByte and Elasticsearch: The Fast Lane to Data Serving Efficiency
> I decided to experiment with this setup and the NY Taxi Dataset. The initial goal was to populate ElasticSearch with ~14 million rows, loading data from a compressed parquet file of ~350 MB.
> I tried multiple times, but the operation failed continuously, due to JVM memory constraints
Here's a script https://github.com/db-benchmarks/db-benchmarks/blob/main/tes... which loads 1.7B NYC taxi ride documents into Elasticsearch.
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Meilisearch vs Manticore Search
In general, you are correct about another missing key: since we added an exception for MySQL by including two keys, we should perhaps optimize it to the maximum and add the rest as well. However, it would be better to make this more visible directly within the results then. I've created a task about it https://github.com/db-benchmarks/db-benchmarks/issues/30 . Thank you for pointing this out. If you see more issues, feel free to file them on github.
- Elastic, Loki and SigNoz – A Perf Benchmark of Open-Source Logging Platforms
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ZincSearch – lightweight alternative to Elasticsearch written in Go
> It's interesting to note that Elasticsearch and Opensearch are general purpose search engine, Solr as well. They are all powered by Lucene, the popular and performant search engine library.
Another search engine which can be considered general, is not based on Lucene and is not less powerful than Elasticsearch/Solr is Manticore Search [1]
[1]: https://github.com/manticoresoftware/manticoresearch
> I would love to see some benchmarks by category :)
I'd love too. We started this work on db-benchmarks [2] , hopefully we'll have resources to continue it. Contributions are very welcome. It's 100% opensource [3]
[2]: https://db-benchmarks.com/
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Manticore Search: Elasticsearch Alternative
Comparing full-text search engines on queries that aren't full-text search are of course slow, these tests should be adapted to the proper usage of the tested DBs and not just benchmarked across the board..
Example: https://db-benchmarks.com/?cache=fast_avg&engines=elasticsea...
- No, QuestDB is not Faster than ClickHouse
- Announcing DB Benchmarks - the most fair open source database and search engines benchmarks
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110 million comments from Hacker News benchmark
Clickhouse: no tuning , just CREATE TABLE ... ENGINE = MergeTree() ORDER BY id and standard clickhouse-server docker image.
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1.1 million comments from Hacker News: small data full-text / analytics test
MySQL and Percona Server for MySQL: no tuning , just CREATE TABLE ..., FULLTEXT(story_text,story_author,comment_text,comment_author))and standard mysql docker image .
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Announcing DB Benchmarks - the most fair open source database benchmarks
https://db-benchmarks.com is a platform and a framework for making the most fair, transparent and open source database and search engines benchmarks. No more benchmarketing, because:
What are some alternatives?
pagefind - Static low-bandwidth search at scale
Elasticsearch - Free and Open, Distributed, RESTful Search Engine
ElasticPress - A fast and flexible search and query engine for WordPress.
mu - maildir indexer/searcher + emacs mail client + guile bindings
MeiliSearch - A lightning-fast search API that fits effortlessly into your apps, websites, and workflow
sql - Query your data using familiar SQL or intuitive Piped Processing Language (PPL)
beir - A Heterogeneous Benchmark for Information Retrieval. Easy to use, evaluate your models across 15+ diverse IR datasets.
redb - An embedded key-value database in pure Rust
postgres-elasticsearch-fdw - Postgres to Elastic Search Foreign Data Wrapper
sonic - 🦔 Fast, lightweight & schema-less search backend. An alternative to Elasticsearch that runs on a few MBs of RAM.