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DBMS > Apache Druid vs. EXASOL vs. Infobright vs. Kdb

System Properties Comparison Apache Druid vs. EXASOL vs. Infobright vs. Kdb

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonEXASOL  Xexclude from comparisonInfobright  Xexclude from comparisonKdb  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.High performant column-oriented DBMS for analytic workloads using MySQL or PostgreSQL as a frontendHigh performance Time Series DBMS
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSRelational DBMSTime Series DBMS
Vector DBMS
Secondary database modelsRelational 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
Score1.99
Rank#124  Overall
#58  Relational DBMS
Score0.96
Rank#194  Overall
#91  Relational DBMS
Score7.55
Rank#53  Overall
#3  Time Series DBMS
#1  Vector DBMS
Websitedruid.apache.orgwww.exasol.comignitetech.com/­softwarelibrary/­infobrightdbkx.com
Technical documentationdruid.apache.org/­docs/­latest/­designwww.exasol.com/­resourcescode.kx.com
DeveloperApache Software Foundation and contributorsExasolIgnite Technologies Inc.; formerly InfoBright Inc.Kx Systems, a division of First Derivatives plc
Initial release2012200020052000 infokdb was released 2000, kdb+ in 2003
Current release29.0.1, April 20243.6, May 2018
License infoCommercial or Open SourceOpen Source infoApache license v2commercialcommercial infoThe open source (GPLv2) version did not support inserts/updates/deletes and was discontinued with July 2016commercial infofree 32-bit version
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaCq
Server operating systemsLinux
OS X
Unix
Linux
Windows
Linux
OS X
Solaris
Windows
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.nononoyes
Secondary indexesyesyesno infoKnowledge Grid Technology used insteadyes infotable attribute 'grouped'
SQL infoSupport of SQLSQL for queryingyesyesSQL-like query language (q)
APIs and other access methodsJDBC
RESTful HTTP/JSON API
.Net
JDBC
ODBC
WebSocket
ADO.NET
JDBC
ODBC
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
Java
Lua
Python
R
.Net
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
Server-side scripts infoStored proceduresnouser defined functionsnouser defined functions
Triggersnoyesnoyes infowith views
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedShardingnonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesSource-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoHadoop integrationnono infosimilar paradigm used for internal processing
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDno
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.noyesyesyes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemAccess rights for users, groups and roles according to SQL-standardfine grained access rights according to SQL-standard infoexploiting MySQL or PostgreSQL frontend capabilitiesrights management via user accounts
More information provided by the system vendor
Apache DruidEXASOLInfobrightKdb
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
» more
Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
» more
Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
» more
Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsupon request
» more

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More resources
Apache DruidEXASOLInfobrightKdb
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