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DBMS > Apache Druid vs. Drizzle vs. eXtremeDB vs. IBM Db2 warehouse

System Properties Comparison Apache Druid vs. Drizzle vs. eXtremeDB vs. IBM Db2 warehouse

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonDrizzle  Xexclude from comparisoneXtremeDB  Xexclude from comparisonIBM Db2 warehouse infoformerly named IBM dashDB  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.Natively in-memory DBMS with options for persistency, high-availability and clusteringCloud-based data warehousing service
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSRelational DBMS
Time Series DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.85
Rank#96  Overall
#50  Relational DBMS
#6  Time Series DBMS
Score0.79
Rank#212  Overall
#100  Relational DBMS
#18  Time Series DBMS
Score1.26
Rank#162  Overall
#73  Relational DBMS
Websitedruid.apache.orgwww.mcobject.comwww.ibm.com/­products/­db2/­warehouse
Technical documentationdruid.apache.org/­docs/­latest/­designwww.mcobject.com/­docs/­extremedb.htm
DeveloperApache Software Foundation and contributorsDrizzle project, originally started by Brian AkerMcObjectIBM
Initial release2012200820012014
Current release30.0.0, June 20247.2.4, September 20128.2, 2021
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoGNU GPLcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C and C++
Server operating systemsLinux
OS X
Unix
FreeBSD
Linux
OS X
AIX
HP-UX
Linux
macOS
Solaris
Windows
hosted
Data schemeyes infoschema-less columns are supportedyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 infosupport of XML interfaces availableno infoImport/export of XML data possible
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL for queryingyes infowith proprietary extensionsyes infowith the option: eXtremeSQLyes
APIs and other access methodsJDBC
RESTful HTTP/JSON API
JDBC.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
.NET Client API
JDBC
ODBC
OLE DB
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C
C++
Java
PHP
.Net
C
C#
C++
Java
Lua
Python
Scala
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Server-side scripts infoStored proceduresnonoyesPL/SQL, SQL PL
Triggersnono infohooks for callbacks inside the server can be used.yes infoby defining eventsyes
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedShardinghorizontal partitioning / shardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesMulti-source replication
Source-replica replication
Active Replication Fabric™ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyes
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.noyesyes
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, HTTPfine grained access rights according to SQL-standard

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More resources
Apache DruidDrizzleeXtremeDBIBM Db2 warehouse infoformerly named IBM dashDB
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