Displaying 1 to 20 from 69 results

MySQL - World's most popular open source database

  •    C++

The MySQL database is the world's most popular open source database because of its consistent fast performance, high reliability and ease of use. It is used by individual Web developers as well as many of the world's largest and fastest-growing organizations to save time and money powering their high-volume Web sites.

AliSQL - AliSQL is a MySQL branch originated from Alibaba Group

  •    C++

AliSQL is a MySQL branch originated from Alibaba Group. It is based on the MySQL official release and has many feature and performance enhancements. AliSQL has proven to be very stable and efficient in production environment. It can be used as a free, fully compatible, enhanced and open source drop-in replacement for MySQL.AliSQL has been an open source project since August 2016. It is being actively developed by engineers from Alibaba Group. Moreover, it includes patches from Percona, WebScaleSQL, and MariaDB. AliSQL is a fruit of community effort. Everyone is welcomed to get involved.




counter_culture - Turbo-charged counter caches for your Rails app.

  •    Ruby

Tested against Ruby 2.2.5 and 2.3.1 and against the latest patch releases of Rails 3.2, 4.0, 4.1, 4.2, 5.0 and 5.1. Note that the column must be NOT NULL and have a default of zero for this gem to work correctly.

radon - RadonDB is an open source, cloud-native MySQL database for building global, scalable cloud services

  •    Go

RadonDB is an open source, Cloud-native MySQL database for unlimited scalability and performance. RadonDB is a cloud-native database based on MySQL,and architected in fully distributed cluster that enable unlimited scalability (scale-out), capacity and performance. It supported distributed transaction that ensure high data consistency, and leveraged MySQL as storage engine for trusted data reliability. RadonDB is compatible with MySQL protocol, and sup-porting automatic table sharding as well as batch of automation feature for simplifying the maintenance and operation workflow.


fake2db - create custom test databases that are populated with fake data

  •    Python

Generate fake but valid data filled databases for test purposes using most popular patterns(AFAIK). Current support is sqlite, mysql, postgresql, mongodb, redis, couchdb. The installation through pypi retrieves 'fake-factory' as a main dependency.

graphql-editor - GraphQL Visual Node Editor

  •    TypeScript

GraphQLEditor makes it easier to understand GrapHQL schemas. Create a schema by joining visual blocks. GraphQLEditor will transform them into code. With GraphQLEditor you can create visual diagrams without writing any code.

ElectroCRUD - MySQL CRUD application built on Electron

  •    Javascript

MySQL CRUD application built on Electron. No Coding, just select database and create views.

Neo4j - Graph Database

  •    Java

Neo4j is a high-performance graph engine with all the features of a mature and robust database. It is a graph database, storing data in the nodes and relationships of a graph. It includes the usual database features like ACID transactions, durable persistence, concurrency control, transaction recovery, high availability.

InfiniDB - Scale-up analytics database engine for data warehousing and business intelligence

  •    C++

InfiniDB Community Edition is a scale-up, column-oriented database for data warehousing, analytics, business intelligence and read-intensive applications. InfiniDB's data warehouse columnar engine is multi-terabyte capable and accessed via MySQL.

LucidDB - RDBMS built entirely for Data Warehousing and Business Intelligence

  •    Java

LucidDB is the RDBMS built entirely for data warehousing and business intelligence. It is based on architectural cornerstones such as column-store, bitmap indexing, hash join/aggregation, and page-level multi versioning. Every component of LucidDB was designed with the requirements of flexible, high-performance data integration and sophisticated query processing in mind.

Infobright - The Database for Analytics

  •    C++

Infobright combines a columnar database with our Knowledge Grid architecture to deliver a self-managing, self-tuning database optimized for analytics. Infobright eliminates the need to create indexes, partition data, or do any manual tuning to achieve fast response for queries and reports.

WhiteDB - NoSQL Memory Database in C

  •    C

WhiteDB is a lightweight NoSQL database library written in C, operating fully in main memory. There is no server process. Data is read and written directly from/to shared memory, no sockets are used between WhiteDB and the application program. It supports indexes (T-tree), concurrency through locking, persistence through logging and memory dumps, json, CSV and RDF support, easy to use in embedded systems and lot more.

db4o

  •    Java

db4o open source object database, native to Java and .NET.

imdbpy - IMDbPY is a Python package useful to retrieve and manage the data of the IMDb movie database about movies, people, characters and companies

  •    Python

IMDbPY is a Python package for retrieving and managing the data of the IMDb movie database about movies, people, characters, and companies. The Python 2 version is available in the imdbpy-legacy branch (mostly unsupported).

bigrquery - An interface to Google's bigquery from R.

  •    R

The low-level API provides thin wrappers over the underlying REST API. All the low-level functions start with bq_, and mostly have the form bq_noun_verb(). This level of abstraction is most appropriate if you’re familiar with the REST API and you want do something not supported in the higher-level APIs. The DBI interface wraps the low-level API and makes working with BigQuery like working with any other database system. This is most convenient layer if you want to execute SQL queries in BigQuery or upload smaller amounts (i.e. <100 MB) of data.

PipelineDB - The Streaming SQL Database

  •    C++

An open-source relational database that runs SQL queries continuously on streams, incrementally storing results in tables. PipelineDB stores only the output of continuous queries, which are incrementally updated as data is ingested. The database’s size is independent of the amount of data ingested over time. It is built into the PostgreSQL core and can be used as a drop in replacement for PostgreSQL without making any application code changes.