DBMS > DuckDB vs. GBase vs. MySQL vs. Oracle Rdb vs. Redis
System Properties Comparison DuckDB vs. GBase vs. MySQL vs. Oracle Rdb vs. Redis
Editorial information provided by DB-Engines | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Name | DuckDB Xexclude from comparison | GBase Xexclude from comparison | MySQL Xexclude from comparison | Oracle Rdb Xexclude from comparison | Redis Xexclude from comparison | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Description | An embeddable, in-process, column-oriented SQL OLAP RDBMS | Widely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing. | Widely used open source RDBMS | Popular in-memory data platform used as a cache, message broker, and database that can be deployed on-premises, across clouds, and hybrid environments Redis focuses on performance so most of its design decisions prioritize high performance and very low latencies. | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Primary database model | Relational DBMS | Relational DBMS | Relational DBMS Key/Value like access via memcached API | Relational DBMS | Key-value store Multiple data types and a rich set of operations, as well as configurable data expiration, eviction and persistence | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Secondary database models | Document store Spatial DBMS | Document store with RedisJSON Graph DBMS with RedisGraph Spatial DBMS Search engine with RediSearch Time Series DBMS with RedisTimeSeries Vector DBMS | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|
|
|
|
|
| |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Website | duckdb.org | www.gbase.cn | www.mysql.com | www.oracle.com/database/technologies/related/rdb.html | redis.com redis.io | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Technical documentation | duckdb.org/docs | dev.mysql.com/doc | www.oracle.com/database/technologies/related/rdb-doc.html | docs.redis.com/latest/index.html redis.io/docs | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Developer | General Data Technology Co., Ltd. | Oracle since 2010, originally MySQL AB, then Sun | Oracle, originally developed by Digital Equipment Corporation (DEC) | Redis project core team, inspired by Salvatore Sanfilippo Development sponsored by Redis Inc. | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Initial release | 2018 | 2004 | 1995 | 1984 | 2009 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Current release | 1.0.0, June 2024 | GBase 8a, GBase 8s, GBase 8c | 8.4.0, April 2024 | 7.4.1.1, 2021 | 7.2.5, May 2024 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
License Commercial or Open Source | Open Source MIT License | commercial | Open Source GPL version 2. Commercial licenses with extended functionallity are available | commercial | Open Source source-available extensions (modules), commercial licenses for Redis Enterprise | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Cloud-based only Only available as a cloud service | no | no | no | no | no | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed. | Aiven for MySQL: Fully managed MySQL, deployable in the cloud of your choice, with seamless integrations and lightning-fast setup. | Aiven for Redis: Fully managed in-memory key-value store for all your caching and speedy lookup needs. | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Implementation language | C++ | C, Java, Python | C and C++ | C | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Server operating systems | server-less | Linux | FreeBSD Linux OS X Solaris Windows | HP Open VMS | BSD Linux OS X Windows ported and maintained by Microsoft Open Technologies, Inc. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Data scheme | yes | yes | yes | Flexible Schema (defined schema, partial schema, schema free) | schema-free | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Typing predefined data types such as float or date | yes | yes | yes | yes | partial Supported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT. | no | yes | yes | no | no | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Secondary indexes | yes | yes | yes | yes | yes with RediSearch module | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
SQL Support of SQL | yes | Standard with numerous extensions | yes with proprietary extensions | yes | with RediSQL module | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
APIs and other access methods | Arrow Database Connectivity (ADBC) CLI Client JDBC ODBC | ADO.NET C API JDBC ODBC | ADO.NET JDBC ODBC Proprietary native API | proprietary protocol RESP - REdis Serialization Protocol | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Supported programming languages | C C# 3rd party driver C++ Crystal 3rd party driver Go 3rd party driver Java Lisp 3rd party driver Python R Ruby 3rd party driver Rust Swift Zig 3rd party driver | C# | Ada C C# C++ D Delphi Eiffel Erlang Haskell Java JavaScript (Node.js) Objective-C OCaml Perl PHP Python Ruby Scheme Tcl | C C# C++ Clojure Crystal D Dart Elixir Erlang Fancy Go Haskell Haxe Java JavaScript (Node.js) Lisp Lua MatLab Objective-C OCaml Pascal Perl PHP Prolog Pure Data Python R Rebol Ruby Rust Scala Scheme Smalltalk Swift Tcl Visual Basic | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Server-side scripts Stored procedures | no | user defined functions | yes proprietary syntax | Lua; Redis Functions coming in Redis 7 (slides and Github) | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Triggers | no | yes | yes | publish/subscribe channels provide some trigger functionality; RedisGears | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Partitioning methods Methods for storing different data on different nodes | none | horizontal partitioning (by range, list and hash) and vertical partitioning | horizontal partitioning, sharding with MySQL Cluster or MySQL Fabric | Sharding Automatic hash-based sharding with support for hash-tags for manual sharding | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Replication methods Methods for redundantly storing data on multiple nodes | none | yes | Multi-source replication Source-replica replication | Multi-source replication with Redis Enterprise Pack Source-replica replication Chained replication is supported | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
MapReduce Offers an API for user-defined Map/Reduce methods | no | no | no | through RedisGears | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Consistency concepts Methods to ensure consistency in a distributed system | Immediate Consistency | Immediate Consistency | Immediate Consistency | Immediate Consistency | Eventual Consistency Causal consistency can be enabled in Active-Active databases Strong consistency with Redis Raft Strong eventual consistency with Active-Active | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Foreign keys Referential integrity | no | yes | yes not for MyISAM storage engine | yes | no | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data | ACID | ACID | ACID not for MyISAM storage engine | yes, on a single node | Atomic execution of command blocks and scripts and optimistic locking | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Concurrency Support for concurrent manipulation of data | yes, multi-version concurrency control (MVCC) | yes | yes table locks or row locks depending on storage engine | yes | yes Data access is serialized by the server | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Durability Support for making data persistent | yes | yes | yes | yes | yes Configurable mechanisms for persistency via snapshots and/or operations logs | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
In-memory capabilities Is there an option to define some or all structures to be held in-memory only. | yes | yes | no | yes | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
User concepts Access control | no | yes | Users with fine-grained authorization concept no user groups or roles | Access Control Lists (ACLs): redis.io/docs/management/security/acl LDAP and Role-Based Access Control (RBAC) for Redis Enterprise Mutual TLS authentication: redis.io/docs/management/security/encryption Password-based authentication | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
More information provided by the system vendorWe invite representatives of system vendors to contact us for updating and extending the system information, | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Related products and services | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
3rd parties | Aiven for MySQL: Fully managed MySQL, deployable in the cloud of your choice, with seamless integrations and lightning-fast setup.
» more Navicat for MySQL is the ideal solution for MySQL/MariaDB administration and development. » more CData: Connect to Big Data & NoSQL through standard Drivers. » more Navicat Monitor is a safe, simple and agentless remote server monitoring tool for MySQL and many other database management systems. » more | Navicat for Redis: the award-winning Redis management tool with an intuitive and powerful graphical interface. » more Redisson PRO: The ultra-fast Redis Java Client. » more Aiven for Redis: Fully managed in-memory key-value store for all your caching and speedy lookup needs. » more CData: Connect to Big Data & NoSQL through standard Drivers. » more | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
We invite representatives of vendors of related products to contact us for presenting information about their offerings here. | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
More resources | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
DuckDB | GBase | MySQL | Oracle Rdb | Redis | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
DB-Engines blog posts | MySQL is the DBMS of the Year 2019 MariaDB strengthens its position in the open source RDBMS market The struggle for the hegemony in Oracle's database empire | PostgreSQL is the DBMS of the Year 2018 MySQL, PostgreSQL and Redis are the winners of the March ranking MongoDB is the DBMS of the year, defending the title from last year MotherDuck Announces General Availability; Brings Simplicity and Power of DuckDB in a Serverless Data Warehouse DuckDB: The tiny but powerful analytics database DuckDB promises greater stability with 1.0 release DuckDB: In-Process Python Analytics for Not-Quite-Big Data DuckDB Walks to the Beat of Its Own Analytics Drum provided by Google News Early MySQL engineer questions whether Oracle is unintentionally killing off the open source database Amazon Aurora MySQL version 2 (with MySQL 5.7 compatibility) to version 3 (with MySQL 8.0 compatibility) upgrade ... Enterprise Manager: How Comcast enhanced monitoring for MySQL InnoDB Clusters Zendesk Moves from DynamoDB to MySQL and S3 to Save over 80% in Costs How to Create a MySQL 8 Database User With Remote Access provided by Google News Oracle Adds New AI-Enabling Features To MySQL HeatWave Should we all consolidate databases for the storage benefits? Reg vultures deploy DevOps, zoos, haircuts 2013 Data Science Salary Survey – O'Reilly provided by Google News Redis moves to source-available licenses Redis switches licenses, acquires Speedb to go beyond its core in-memory database Redis expands data management capabilities with Speedb acquisition – Blocks and Files In-memory database Redis wants to dabble in disk Linux Foundation Backs 'Valkey' Open-Source Fork of Redis provided by Google News |
Share this page