Distributed SQL transaction & query engine for data sharding, scaling, encryption, and more - on any database.

比 MySQL 和 MongoDB 快10倍的 OLTP 关系数据库和文档数据库

计算机学习资料(Java , Jvm , Linux , Mysql , Netty , Redis , Netty , Spring , SpringBoot , Mybatis , Rabbitmq ,计算机网络 , 数据结构与算法 , 设计模式 )Github网页阅读:https://guang19.github.io/framework-learning , Gitee网页版阅读: https://qsjzwithguang19forever.gitee.io/framework-learning

Helical Insight software is world’s first Open Source Business Intelligence framework which helps you to make sense out of your data and make well informed decisions.

If you are using JPA and Hibernate, this tool can auto-detect N+1 query issues during testing.

🧨 Get data in & out of Redis with RIOT

Ballerina SQL Module

Microservice application with various Redis use-cases with RediSearch, RedisGraph and Streams. The data are synchronize between MySQL and Redis using Debezium as a CDC engine

A Java CLI program that generates a GraphQL schema from a JDBC data source.

A RESTful Interface to your database

Transactional SQL based RDBMS with sophisticated multi table constraint logic.

a tiny database with ARIES recovery algorithm (WAL and Fuzzy Checkpoint) to achieve ACID

DataNucleus support for persistence to RDBMS Datastores

SQL DAL Maker is a generator of DTO, Model, and DAO classes to access relational databases. Target programming languages: PHP, Java, C++, Python, and Go. To generate the class, you declare it in XML meta-program.

Quarkus starter

Tool for dumping the schema and data from a database. Compatible with JDBC-compliant databases by using java.sql.DatabaseMetaData features

minimalistic JDBC based DAO

Accenture Pre-Onboard Learning Modules Hands-On

This is an Online Tender Management System project which i was created during my Masai school(organization where I have completed my full stack web development course) journey , it is a induvial Backend project which i have completed successfully in the span of 5 days with tech stack used as JAVA, RDBMS, MYSQL & JDBC DAO pattern!!

A project to run tests against various databases in order to understand their differences.