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DBMS > Apache Druid vs. OushuDB vs. STSdb vs. Warp 10

System Properties Comparison Apache Druid vs. OushuDB vs. STSdb vs. Warp 10

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonOushuDB  Xexclude from comparisonSTSdb  Xexclude from comparisonWarp 10  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataA data warehouse powered by Apache HAWQ supporting descriptive analysis and advanced machine learningKey-Value Store with special method for indexing infooptimized for high performance using a special indexing methodTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSKey-value storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.25
Rank#90  Overall
#47  Relational DBMS
#7  Time Series DBMS
Score0.10
Rank#355  Overall
#154  Relational DBMS
Score0.10
Rank#357  Overall
#51  Key-value stores
Score0.14
Rank#344  Overall
#32  Time Series DBMS
Websitedruid.apache.orgwww.oushu.com/­product/­oushuDBgithub.com/­STSSoft/­STSdb4www.warp10.io
Technical documentationdruid.apache.org/­docs/­latest/­designwww.oushu.com/­documentationwww.warp10.io/­content/­02_Getting_started
DeveloperApache Software Foundation and contributorsOushuSTS Soft SCSenX
Initial release201220112015
Current release29.0.1, April 20244.0.1, August 20204.0.8, September 2015
License infoCommercial or Open SourceOpen Source infoApache license v2commercialOpen Source infoGPLv2, commercial license availableOpen Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC#Java
Server operating systemsLinux
OS X
Unix
LinuxWindowsLinux
OS X
Windows
Data schemeyes infoschema-less columns are supportedyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyes infoprimitive types and user defined types (classes)yes
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 indexesyesyesnono
SQL infoSupport of SQLSQL for queryingFull-featured ANSI SQL supportnono
APIs and other access methodsJDBC
RESTful HTTP/JSON API
JDBC
ODBC
.NET Client APIHTTP API
Jupyter
WebSocket
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C
C++
C#
Java
Server-side scripts infoStored proceduresnoyesnoyes infoWarpScript
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedyesnoneSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesnoneselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoHadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnono
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
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemKerberos, SSL and role based accessnoMandatory use of cryptographic tokens, containing fine-grained authorizations

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More resources
Apache DruidOushuDBSTSdbWarp 10
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