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DBMS > Apache Druid vs. Riak KV vs. Tkrzw vs. VelocityDB

System Properties Comparison Apache Druid vs. Riak KV vs. Tkrzw vs. VelocityDB

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonRiak KV  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparisonVelocityDB  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataDistributed, fault tolerant key-value storeA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto CabinetA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelRelational DBMS
Time Series DBMS
Key-value store infowith links between data sets and object tags for the creation of secondary indexesKey-value storeGraph DBMS
Object oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.34
Rank#88  Overall
#48  Relational DBMS
#7  Time Series DBMS
Score4.10
Rank#82  Overall
#9  Key-value stores
Score0.00
Rank#383  Overall
#60  Key-value stores
Score0.05
Rank#358  Overall
#36  Graph DBMS
#16  Object oriented DBMS
Websitedruid.apache.orgdbmx.net/­tkrzwvelocitydb.com
Technical documentationdruid.apache.org/­docs/­latest/­designwww.tiot.jp/­riak-docs/­riak/­kv/­latestvelocitydb.com/­UserGuide
DeveloperApache Software Foundation and contributorsOpenSource, formerly Basho TechnologiesMikio HirabayashiVelocityDB Inc
Initial release2012200920202011
Current release29.0.1, April 20243.2.0, December 20220.9.3, August 20207.x
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoApache version 2, commercial enterprise editionOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaErlangC++C#
Server operating systemsLinux
OS X
Unix
Linux
OS X
Linux
macOS
Any that supports .NET
Data schemeyes infoschema-less columns are supportedschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesnonoyes
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.nononono
Secondary indexesyesrestrictedyes
SQL infoSupport of SQLSQL for queryingnonono
APIs and other access methodsJDBC
RESTful HTTP/JSON API
HTTP API
Native Erlang Interface
.Net
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
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
C++
Java
Python
Ruby
.Net
Server-side scripts infoStored proceduresnoErlangnono
Triggersnoyes infopre-commit hooks and post-commit hooksnoCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedSharding infono "single point of failure"noneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesselectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono infolinks between data sets can be storednono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
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.noyes infousing specific database classesyes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemyes, using Riak SecuritynoBased on Windows Authentication

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More resources
Apache DruidRiak KVTkrzw infoSuccessor of Tokyo Cabinet and Kyoto CabinetVelocityDB
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