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DBMS > Drizzle vs. HBase vs. Riak KV vs. ToroDB

System Properties Comparison Drizzle vs. HBase vs. Riak KV vs. ToroDB

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Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonHBase  Xexclude from comparisonRiak KV  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.ToroDB seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Wide-column store based on Apache Hadoop and on concepts of BigTableDistributed, fault tolerant key-value storeA MongoDB-compatible JSON document store, built on top of PostgreSQL
Primary database modelRelational DBMSWide column storeKey-value store infowith links between data sets and object tags for the creation of secondary indexesDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score30.50
Rank#26  Overall
#2  Wide column stores
Score4.10
Rank#82  Overall
#9  Key-value stores
Websitehbase.apache.orggithub.com/­torodb/­server
Technical documentationhbase.apache.org/­book.htmlwww.tiot.jp/­riak-docs/­riak/­kv/­latest
DeveloperDrizzle project, originally started by Brian AkerApache Software Foundation infoApache top-level project, originally developed by PowersetOpenSource, formerly Basho Technologies8Kdata
Initial release2008200820092016
Current release7.2.4, September 20122.3.4, January 20213.2.0, December 2022
License infoCommercial or Open SourceOpen Source infoGNU GPLOpen Source infoApache version 2Open Source infoApache version 2, commercial enterprise editionOpen Source infoAGPL-V3
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaErlangJava
Server operating systemsFreeBSD
Linux
OS X
Linux
Unix
Windows infousing Cygwin
Linux
OS X
All OS with a Java 7 VM
Data schemeyesschema-free, schema definition possibleschema-freeschema-free
Typing infopredefined data types such as float or dateyesoptions to bring your own types, AVROnoyes 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.nonono
Secondary indexesyesnorestricted
SQL infoSupport of SQLyes infowith proprietary extensionsnono
APIs and other access methodsJDBCJava API
RESTful HTTP API
Thrift
HTTP API
Native Erlang Interface
Supported programming languagesC
C++
Java
PHP
C
C#
C++
Groovy
Java
PHP
Python
Scala
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresnoyes infoCoprocessors in JavaErlang
Triggersno infohooks for callbacks inside the server can be used.yesyes infopre-commit hooks and post-commit hooksno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infono "single point of failure"Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
selectable replication factorSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyEventual ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnono infolinks between data sets can be storedno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDSingle row ACID (across millions of columns)nono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
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, HTTPAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACyes, using Riak SecurityAccess rights for users and roles

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More resources
DrizzleHBaseRiak KVToroDB
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