#go #consensus #database #distributed_database #distributed_systems #etcd #key_value #kubernetes #raft

https://github.com/etcd-io/etcd

#java #database #database_cluster #distributed_database #distributed_sql_database #distributed_transactions #middleware #mysql #postgresql #shard #shardingsphere #sql

https://github.com/apache/incubator-shardingsphere

#java #big_data #data_science #database #databases #datalake #distributed_database #distributed_databases #distributed_systems #hadoop #hive #jdbc #presto #prestodb #query_engine #sql #trino

https://github.com/trinodb/trino

#go #cache #database #databases #disk #distributed_database #distributed_systems #golang #high_performance #key_value #kvstore #leveldb #lsm #nosql #persistence #raft #redis #storage

https://github.com/gitsrc/IceFireDB

#rust #cloud_native #database #distributed_database #sql #stream_processing

https://github.com/singularity-data/risingwave

#rust #database #distributed_database #tsdb

https://github.com/CeresDB/ceresdb

#rust #backend_as_a_service #cloud_database #collaborative #database #database_as_a_service #developer_tools #devtools #distributed #distributed_database #document_database #graph_database #hacktoberfest #iot_database #nosql #realtime_database #serverless #sql #surreal #surrealdb #web

https://github.com/surrealdb/surrealdb

#cplusplus #big_data #clickhouse #distributed_database #lakehouse #olap_database #spark #sql #ytsaurus

https://github.com/ytsaurus/ytsaurus

#cplusplus #analytics #bigquery #cloud_native #cpp #database #distributed_database #distributed_transactions #hacktoberfest #htap #mysql #mysql_compatibility #mysql_database #oceanbase #olap #oltp #paxos #scalable #sql #vector_database

OceanBase Database is a powerful, distributed relational database developed by Ant Group. It offers several key benefits It can handle large amounts of data and scale easily.
- **Fast Performance** It saves up to 90% on storage costs.
- **Real-time Analytics** It ensures zero data loss and quick recovery times.
- **MySQL Compatibility**: It is easy to migrate from MySQL databases.

You can quickly start using OceanBase with simple deployment options using commands or Docker, making it easy to get started and benefit from its advanced features.

https://github.com/oceanbase/oceanbase

#go #cloud_native #database #distributed_database #distributed_transactions #go #hacktoberfest #htap #mysql #mysql_compatibility #scale #serverless #sql #tidb

TiDB is an open-source database that combines transactional and analytical processing. It is compatible with MySQL, scalable, consistent, and highly available. This means you can handle a lot of data and queries efficiently without worrying about the database crashing. You can try it online through the TiDB Playground or start using it with a quick start guide. The community is active, so you can get help from forums, Discord, Slack, and Stack Overflow. This makes it easier to use and maintain, benefiting users by providing a reliable and powerful database solution.

https://github.com/pingcap/tidb

#cplusplus #ai #analytics #big_data #clickhouse #cpp #dbms #distributed_database #hacktoberfest #mpp #olap #rust #sql

ClickHouse is a free, open-source database that helps you get real-time analytical data reports. It's easy to install using a simple command on Linux, macOS, or FreeBSD. You can find lots of helpful resources like tutorials, documentation, and videos on their website. There are also community meetups and online chats where you can learn from other users. Using ClickHouse benefits you by allowing fast and efficient analysis of large amounts of data, which is useful for making quick decisions and improving your business operations.

https://github.com/ClickHouse/ClickHouse

#java #bigdata #data_encryption #data_pipeline #database #database_cluster #database_gateway #database_middleware #distributed_database #distributed_sql_database #distributed_transaction #encrypt #mysql #postgresql #read_write_splitting #shard #sql

Apache ShardingSphere is a powerful tool that helps manage and scale databases. It allows you to break down large databases into smaller pieces (sharding), handle more data traffic (scaling), and secure your data with encryption. This tool works with any database and provides a unified way for applications to interact with multiple databases as if they were one.

The benefits include Your database can handle more data and users without slowing down.
- **Improved Security** Applications only need to communicate with one standardized service, making it simpler to manage.
- **Flexibility**: You can customize the tool to fit your needs using its pluggable architecture.

Overall, Apache ShardingSphere makes managing and scaling databases much easier and more efficient.

https://github.com/apache/shardingsphere