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DBMS > Apache Druid vs. Drizzle vs. IBM Cloudant vs. Warp 10

System Properties Comparison Apache Druid vs. Drizzle vs. IBM Cloudant vs. Warp 10

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonDrizzle  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonWarp 10  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.
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Database as a Service offering based on Apache CouchDBTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSDocument storeTime Series 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
Score2.68
Rank#106  Overall
#20  Document stores
Score0.07
Rank#349  Overall
#32  Time Series DBMS
Websitedruid.apache.orgwww.ibm.com/­products/­cloudantwww.warp10.io
Technical documentationdruid.apache.org/­docs/­latest/­designcloud.ibm.com/­docs/­Cloudantwww.warp10.io/­content/­02_Getting_started
DeveloperApache Software Foundation and contributorsDrizzle project, originally started by Brian AkerIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014SenX
Initial release2012200820102015
Current release29.0.1, April 20247.2.4, September 2012
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoGNU GPLcommercialOpen Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++ErlangJava
Server operating systemsLinux
OS X
Unix
FreeBSD
Linux
OS X
hostedLinux
OS X
Windows
Data schemeyes infoschema-less columns are supportedyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesnoyes
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 indexesyesyesyesno
SQL infoSupport of SQLSQL for queryingyes infowith proprietary extensionsnono
APIs and other access methodsJDBC
RESTful HTTP/JSON API
JDBCRESTful HTTP/JSON APIHTTP API
Jupyter
WebSocket
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C
C++
Java
PHP
C#
Java
JavaScript
Objective-C
PHP
Ruby
Server-side scripts infoStored proceduresnonoView functions (Map-Reduce) in JavaScriptyes infoWarpScript
Triggersnono infohooks for callbacks inside the server can be used.yesno
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedShardingShardingSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
selectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno infoatomic operations within a document possibleno
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoOptimistic lockingyes
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.nonoyes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemPluggable authentication mechanisms infoe.g. LDAP, HTTPAccess rights for users can be defined per databaseMandatory use of cryptographic tokens, containing fine-grained authorizations

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More resources
Apache DruidDrizzleIBM CloudantWarp 10
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