Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Awesome Elasticsearch | 4,408 | 9 months ago | 2 | unlicense | ||||||
A curated list of the most important and useful resources about elasticsearch: articles, videos, blogs, tips and tricks, use cases. All about Elasticsearch! | ||||||||||
Crate | 3,692 | 4 | 1 | 14 hours ago | 13 | October 25, 2016 | 249 | apache-2.0 | Java | |
CrateDB is a distributed SQL database for storing and analyzing massive amounts of data in real-time. Built on top of Lucene. | ||||||||||
Domain_qa | 55 | 7 years ago | 2 | Java | ||||||
限定域问答系统包括:自动构建知识库、问句检索、基于微信平台搭建问答系统。本项目所有代码已开源。用户通过简单配置,可以实现快速自动化搭建一个比较完备的领域知识库。另外,基于微信平台如何通过配置来搭建问答系统,具体操作见readme.txt | ||||||||||
Nsdb | 52 | 2 years ago | 3 | apache-2.0 | Scala | |||||
Natural Series Database | ||||||||||
Gnaf | 24 | 4 years ago | 1 | other | Scala | |||||
GNAF geocoder and more | ||||||||||
Workbench | 17 | 6 years ago | 11 | mit | Java | |||||
Java and Lucene based tools for BitFunnel corpus preparation | ||||||||||
Cavalliumdbengine | 13 | 12 days ago | gpl-2.0 | Java | ||||||
Reactive Database engine for Java with RocksDB and Lucene Core | ||||||||||
Persephone | 12 | 6 years ago | 21 | apache-2.0 | JavaScript | |||||
A material assay database | ||||||||||
Gun Cassandra | 12 | 5 years ago | 4 | January 15, 2018 | mit | JavaScript | ||||
Cassandra / Elassandra persistence layer for Gun DB :gun: | ||||||||||
Emh Exist Glossary | 6 | 3 months ago | 8 | JavaScript | ||||||
This is a sample search application with faceting for the eXist-db Open Source XML Database managing SKOS glossaries |
Help us improve CrateDB by taking our User Survey!
CrateDB is a distributed SQL database that makes it simple to store and analyze massive amounts of data in real-time.
CrateDB offers the benefits of an SQL database and the scalability and flexibility typically associated with NoSQL databases. Modest CrateDB clusters can ingest tens of thousands of records per second without breaking a sweat. You can run ad-hoc queries using standard SQL. CrateDB's blazing-fast distributed query execution engine parallelizes query workloads across the whole cluster.
CrateDB is well suited to containerization, can be scaled horizontally using ephemeral virtual machines (e.g., Kubernetes, AWS, and Azure) with no shared state. You can deploy and run CrateDB on any sort of network
from personal computers to multi-region hybrid clouds and the edge.
CrateDB provides an Admin UI:
The fastest way to try CrateDB out is by running:
sh$ bash -c "$(curl -L try.crate.io)"
Or spin up the official Docker image:
sh$ docker run --publish 4200:4200 --publish 5432:5432 crate -Cdiscovery.type=single-node
Visit the installation documentation to see all the available download and install options.
Once you're up and running, head over to the introductory docs. To interact with CrateDB, you can use the Admin UI sql console or the CrateDB shell CLI tool. Alternatively, review the list of recommended clients and tools that work with CrateDB.
For container-specific documentation, check out the CrateDB on Docker how-to guide or the CrateDB on Kubernetes how-to guide.
This project is primarily maintained by Crate.io, but we welcome community contributions!
See the developer docs and the contribution docs for more information.
Looking for more help?