Free and open source Free to use for any purpose, source code available under GPL-3.0 license Cross database MySQL, PostgreSQL, MS SQL, Oracle, MongoDB, SQLite and others
NoSQL database systems like Amazon DynamoDB use alternative models for data management, such as key-value pairs or document storage. When you switch from a relational database management system to a NoSQL database system like DynamoDB, it's important to understand the key differences and specific design approaches. Differences between relational data design and NoSQL Relational database systems (R
UnQLite is a in-process software library which implements a self-contained, serverless, zero-configuration, transactional NoSQL database engine. UnQLite is a document store database similar to MongoDB, Redis, CouchDB etc. as well a standard Key/Value store similar to BerkeleyDB, LevelDB, etc. UnQLite is an embedded NoSQL (Key/Value store and Document-store) database engine. Unlike most other NoSQL
Tarantool is an in-memory computing platform consisting of a database and an application server. It is distributed under BSD 2-Clause terms. Key features of the application server: Heavily optimized Lua interpreter with incredibly fast tracing JIT compiler, based on LuaJIT 2.1. Cooperative multitasking, non-blocking IO. Persistent queues. Sharding. Cluster and application management framework. Acc
Original article available at https://habrahabr.ru/company/mailru/blog/323870/ Iâd like to share with you an article based on my talk at Tarantool Meetup(the video is in Russian, though). Itâs a short story of why Mamba, one of the biggest dating websites in the world and the largest one in Russia, started using Tarantool. Why did we decide to busy ourselves with MySQL-to-Tarantool replication? Fi
How Tarantool works Tarantool keeps all the data in random-access memory (RAM). Solutions of this class are fast, but they often lack data persistence. Tarantool helps overcome these problems. Try Tarantool to see how fast, flexible, and scalable it is. Download When to use in-memory? In-memory solutions are very fast because they work in RAM. This helps you avoid overhead associated with caching
This is the November 2024 issue of the monthly DB-Engines Ranking of database management systems. You can find the complete and most up-to-date ranking at DB-Engines.com. RankDBMSScoreChanges1.Oracle1317.01+ 7.572.MySQL1017.80-4.953.Microsoft SQL Server799.81-2.284.PostgreSQL654.34+ 2.185.MongoDB400.93-4.286.Redis148.64-0.996.Redis148.64-0.997.Snowflake142.50+ 1.908.Elasticsearch131.64-0.208.Elast
ãªãªã¼ã¹ãé害æ å ±ãªã©ã®ãµã¼ãã¹ã®ãç¥ãã
ææ°ã®äººæ°ã¨ã³ããªã¼ã®é ä¿¡
å¦çãå®è¡ä¸ã§ã
j次ã®ããã¯ãã¼ã¯
kåã®ããã¯ãã¼ã¯
lãã¨ã§èªã
eã³ã¡ã³ãä¸è¦§ãéã
oãã¼ã¸ãéã
{{#tags}}- {{label}}
{{/tags}}