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DBMS > Drizzle vs. Redis vs. ToroDB

System Properties Comparison Drizzle vs. Redis vs. ToroDB

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Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonRedis  Xexclude from comparisonToroDB  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.In-memory data structure store, used as database, cache and message broker infoRedis focuses on performance so most of its design decisions prioritize high performance and very low latencies.A MongoDB-compatible JSON document store, built on top of PostgreSQL
Primary database modelRelational DBMSKey-value store infoMultiple data types and a rich set of operations, as well as configurable data expiration, eviction and persistenceDocument store
Secondary database modelsDocument store infowith Redis Modules
Graph DBMS infowith Redis Modules
Search engine infowith Redis Modules
Time Series DBMS infowith Redis Modules
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score151.42
Rank#8  Overall
#1  Key-value stores
Score0.06
Rank#304  Overall
#40  Document stores
Websiteredis.iowww.torodb.com
Technical documentationredis.io/­documentationwww.torodb.com/­stampede/­docs
DeveloperDrizzle project, originally started by Brian AkerSalvatore Sanfilippo infoDevelopment sponsored by Redis Labs8Kdata
Initial release200820092016
Current release7.2.4, September 20125.0.7, November 2019
License infoCommercial or Open SourceOpen Source infoGNU GPLOpen Source infoBSD 3-Clause, commercial license availableOpen Source infoAGPL-V3
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++CJava
Server operating systemsFreeBSD
Linux
OS X
BSD
Linux
OS X
Windows infoported and maintained by Microsoft Open Technologies, Inc.
All OS with a Java 7 VM
Data schemeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesyes infostring, integer, double, boolean, date, object_id
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nono
Secondary indexesyesyes infowith RediSearch module
SQL infoSupport of SQLyes infowith proprietary extensionsno
APIs and other access methodsJDBCproprietary protocol infoRESP - REdis Serialization Protocol
Supported programming languagesC
C++
Java
PHP
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 infoStored proceduresnoLua
Triggersno infohooks for callbacks inside the server can be used.nono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replication
Master-slave replication
Master-slave replication infoChained replication is supported
Multi-master replication infowith Redis Enterprise Pack
Master-slave replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong eventual consistency with CRDTs
Eventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDOptimistic locking, atomic execution of commands blocks and scriptsno
Concurrency infoSupport for concurrent manipulation of datayesyes infoData access is serialized by the serveryes
Durability infoSupport for making data persistentyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPSimple password-based access control infoAccess control lists and SSL are available in the commercial versionAccess rights for users and roles

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3rd partiesScaleGrid: Fully managed Redis-as-a-Service in the cloud.
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CData: Connect to Big Data & NoSQL through standard Drivers.
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DrizzleRedisToroDB
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