db-benchmarks
logs-benchmark
db-benchmarks | logs-benchmark | |
---|---|---|
24 | 11 | |
111 | 75 | |
2.7% | - | |
4.9 | 10.0 | |
12 months ago | over 1 year ago | |
PHP | Shell | |
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.
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:
logs-benchmark
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OpenObserve: Elasticsearch/Datadog alternative in Rust.. 140x lower storage cost
I am a maintainer at SigNoz. Nice to see OpenObserve's belief that the future of Observability should be OpenSource. We chose clickhouse rather than building a database as it takes multi-year effort to move a db to maturity and clickhouse has been battle-tested at Yandex, Uber and Cloudflare. Clickhouse also provides native integration with s3 and other blob storages. Our users have been using disk as hot storage for a week and moving the data to s3 after that. Tiered storage is really cool in terms of query performance.
We have also seen logs data of our users at a compression ratio of 30x/40x. We have published a logs benchmark (https://github.com/SigNoz/logs-benchmark) where the data is very high-cardinal (causing a compression factor of only 2.5x). Would love to see how does OpenObserve perform in that dataset someday.
Wishing you best for the journey ahead.
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Elastic vs Loki vs SigNoz : A Performance Benchmark of self hosted & open source logging platforms
Did you update the benchmark after you got feedback from this user at Hacker News or after you got the feedback that including Loki here is kinda pointless?
- Elastic vs Loki vs SigNoz : A Perf Benchmark of open source logging platforms
- FLiP Stack Weekly 28 Jan 2023
- FLiP Stack Weekly 28-Jan-2023
- Elastic, Loki and SigNoz – A Perf Benchmark of Open-Source Logging Platforms
What are some alternatives?
Elasticsearch - Free and Open, Distributed, RESTful Search Engine
opentelemetry-collector-co
mu - maildir indexer/searcher + emacs mail client + guile bindings
openobserve - 🚀 10x easier, 🚀 140x lower storage cost, 🚀 high performance, 🚀 petabyte scale - Elasticsearch/Splunk/Datadog alternative for 🚀 (logs, metrics, traces, RUM, Error tracking, Session replay).
pagefind - Static low-bandwidth search at scale
carbonyl - Chromium running inside your terminal
beir - A Heterogeneous Benchmark for Information Retrieval. Easy to use, evaluate your models across 15+ diverse IR datasets.
shite - The little hot-reloadin' static site maker from shell.
ElasticPress - A fast and flexible search and query engine for WordPress.
clamshell - experimenting with a python based shell
sonic - 🦔 Fast, lightweight & schema-less search backend. An alternative to Elasticsearch that runs on a few MBs of RAM.
FLiPN-Py-Stocks - finnhub stocks