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, business-critical systems and packaged software -- including industry leaders such as Yahoo!, Alcatel-Lucent, Google, Nokia, YouTube, and Zappos.com. MySQL is part of the LAMP stack (Linux, Apache, MySQL, PHP / Perl / Python.) MySQL runs on more than 20 platforms including Linux, Windows, Mac OS, Solaris, HP-UX, IBM AIX.
MySQL Provides transactional and nontransactional storage engines, Executes very fast joins using an optimized nested-loop join, Uses a very fast thread-based memory allocation system, It is secure, scalable, supports several different character sets. MySQL client programs can be written in languages like C, C++, Eiffel, Java, Perl, PHP, Python, Ruby, and Tcl are available.
Professional edition and Commercial support is available.
Tags | database relational-database cluster storage-engine |
Implementation | C++ |
License | GPL |
Platform | OS-Independent |
rqlite is a lightweight, distributed relational database, which uses SQLite as its storage engine. Forming a cluster is very straightforward, it gracefully handles leader elections, and tolerates failures of machines, including the leader. rqlite gives you the functionality of a rock solid, fault-tolerant, replicated relational database, but with very easy installation, deployment, and operation. With it you've got a lightweight and reliable distributed relational data store. Think etcd or Consul, but with relational data modelling also available.
sqlite distributed-systems database relational-database raft consensus distributed-database sqlSpider is the first step when accessing a remote database and a storage engine that updates and improves upon the existing architecture of MySQL. Spider supports database transaction. In addition Spider allows an unlimited amount of users to quickly access the MySQL database. Spider supports MySQL partitioning. Spider operates as a "cluster" acting as a single system that supports unlimited parallel processing.
storage-engine mysql data-sharding mysql-partitioning horizontal-partitioningTrino is a highly parallel and distributed query engine, that is built from the ground up for efficient, low latency analytics. It is an ANSI SQL compliant query engine, that works with BI tools such as R, Tableau, Power BI, Superset and many others. It helps to natively query data in Hadoop, S3, Cassandra, MySQL, and many others, without the need for complex, slow, and error-prone processes for copying the data.
distributed-systems data-science sql database big-data presto hive hadoop analytics jdbc databases distributed-database query-engine datalake prestodb trinoRadonDB is a cloud-native database based on MySQL. It’s architected to fully distributed cluster that delivering unlimited scalability (scale-out), capacity and performance. It supports distributed transaction capability for high data consistency, and leverage MySQL as storage engine with trusted data reliability. RadonDB is compatible with MySQL protocol, at mean time supports automatic table sharding, that simplifying the maintenance and operation workflow.
golang json sql database transaction olap distributed-database full-text-search mysql-protocol oltp distributed-transaction radondb cloud-native-database distributed-mysqlGalera cluster provides distributed, multi master support for MySQL and MariaDB. Its feature include Synchronous Replication, True Multi-master, Active-Active Cluster Read and write to any node at any time, Automatic Node Provisioning, Multi-threaded Slave and lot more.
cluster mysql-cluster distributed multi-master replication mysqlActorDB is ideal as a server side database for apps. Think of running a large mail service, dropbox, evernote, etc. They all require server side storage for user data, but the vast majority of queries is within a specific user. With many users, the server side database can get very large. Using ActorDB you can keep a full relational database for every user and not be forced into painful scaling strategies that require you to throw away everything that makes relational databases good.
database distributed-database newsql rdbmsEdgelessDB is a full SQL database, tailor-made for confidential computing. It seamlessly integrates with your existing tools and workflows to help you unlock the full potential of your data. All data stored and processed in EdgelessDB is always encrypted and isolated—even in system memory at runtime. Your data is protected even from rogue system administrators, rootkits, and other powerful attackers. This makes EdgelessDB the most secure and most versatile option available for both storing and processing data.
mysql sql database mariadb sgx enclave confidential-computing secure-database security encrypted-databaseInfiniDB 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.
database column-store data-mining relational column-database no-sql mysql-forkInfobright 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.
database non-relational column-database no-sql mysql-forkH2 database is very fast, open source database engine. It supports SQL and JDBC standards. It can run in Embedded and Server mode and it has clustering support.
database cluster relational full-text-search embedded-database in-memoryEventQL is a distributed, column-oriented database built for large-scale event collection and analytics. It runs super-fast SQL and MapReduce queries. Its features include Automatic partitioning, Columnar storage, Standard SQL support, Scales to petabytes, Timeseries and relational data, Fast range scans and lot more.
database columnar-database columnar-storage timeseries streaming distributed-database distributed analytics column-storeNeo4j 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.
database graph-database embedded-database no-sql oltp data-science distributed-databaseWaterline is a new kind of storage and retrieval engine. It provides a uniform API for accessing stuff from different kinds of databases, protocols, and 3rd party APIs. That means you write the same code to get and store things like users, whether they live in Redis, mySQL, LDAP, MongoDB, or Postgres.
orm object-relational-mapper database-adaptor database-development orm-nodejs orm-javascriptHibernate facilitated the storage and retrieval of domain objects via Object/Relational Mapping. Today, Hibernate is a collection of related projects enabling developers to utilize POJO-style domain models in their applications in ways extending well beyond Object/Relational Mapping.
orm persistence database-development orm-javaThe main strength of Vici CoolStorage is the ease of use. Most ORM tools still require a lot of unneeded code to accomplish basic data persistence tasks, but Vici CoolStorage is designed to relieve the programmer from these tedious and error-prone tasks, making it very intuitive to use.
orm persistence database-development datamapper ormdotnetVitess is a database clustering system for horizontal scaling of MySQL through generalized sharding. By encapsulating shard-routing logic, Vitess allows application code and database queries to remain agnostic to the distribution of data onto multiple shards. With Vitess, you can even split and merge shards as your needs grow, with an atomic cutover step that takes only a few seconds. Vitess has been a core component of YouTube's database infrastructure since 2011, and has grown to encompass tens of thousands of MySQL nodes.
mysql-cluster mysql-sharding database-sharding database-cluster horizontal-scalingThe OpenCog AtomSpace is a knowledge representation (KR) database and the associated query/reasoning engine to fetch and manipulate that data, and perform reasoning on it. Data is represented in the form of graphs, and more generally, as hypergraphs; thus the AtomSpace is a kind of graph database, the query engine is a general graph re-writing system, and the rule-engine is a generalized rule-driven inferencing system. The vertices and edges of a graph, known as "Atoms", are used to represent not only "data", but also "procedures"; thus, many graphs are executable programs as well as data structures. The AtomSpace is a platform for building Artificial General Intelligence (AGI) systems. It provides the central knowledge representation component for OpenCog. As such, it is a fairly mature component, on which a lot of other systems are built, and which depend on it for stable, correct operation in a day-to-day production environment.
graph-database rule-engine knowledge-representation query-engine logic-programming knowledge-graph knowledge-base query-language relational-database relational-algebra reasoning rewrite-system rewriting inference-engine inference inference-rulesQuestDB is a high-performance, open-source SQL database for applications in financial services, IoT, machine learning, DevOps and observability. It includes endpoints for PostgreSQL wire protocol, high-throughput schema-agnostic ingestion using InfluxDB Line Protocol, and a REST API for queries, bulk imports, and exports.
database time-series-database time-series sql relational-database analytics real-time-analytics analytics-database postgresql postgresMySQL to MongoDB importer. The scripts are using simple relational to non-relational (r2n) mapping mechanism that should let You automagically convert Your MySQL database into MongoDB set of collections.
mysql-to-mongodb database-import database-tools
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