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DBMS > Apache Druid vs. Coveo vs. Kyligence Enterprise vs. mSQL vs. Warp 10

System Properties Comparison Apache Druid vs. Coveo vs. Kyligence Enterprise vs. mSQL vs. Warp 10

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonCoveo  Xexclude from comparisonKyligence Enterprise  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonWarp 10  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataAI-powered hosted search, recommendation and personalization platform providing tools for both low-code and full-code developmentA distributed analytics engine for big data, built on top of Apache KylinmSQL (Mini SQL) is a simple and lightweight RDBMSTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelRelational DBMS
Time Series DBMS
Search engineRelational DBMSRelational DBMSTime 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
Score2.28
Rank#114  Overall
#11  Search engines
Score0.40
Rank#269  Overall
#124  Relational DBMS
Score1.27
Rank#167  Overall
#77  Relational DBMS
Score0.07
Rank#349  Overall
#32  Time Series DBMS
Websitedruid.apache.orgwww.coveo.comkyligence.io/­kyligence-enterprisehughestech.com.au/­products/­msqlwww.warp10.io
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.coveo.comwww.warp10.io/­content/­02_Getting_started
DeveloperApache Software Foundation and contributorsCoveoKyligence, Inc.Hughes TechnologiesSenX
Initial release20122012201619942015
Current release29.0.1, April 20244.4, October 2021
License infoCommercial or Open SourceOpen Source infoApache license v2commercialcommercialcommercial infofree licenses can be providedOpen Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaCJava
Server operating systemsLinux
OS X
Unix
hostedLinuxAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Linux
OS X
Windows
Data schemeyes infoschema-less columns are supportedhybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configurationyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nonononono
Secondary indexesyesyesyesyesno
SQL infoSupport of SQLSQL for queryingnoANSI SQL for queries (using Apache Calcite)A subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersno
APIs and other access methodsJDBC
RESTful HTTP/JSON API
RESTful HTTP APIJDBC
ODBC
RESTful HTTP API
JDBC
ODBC
HTTP API
Jupyter
WebSocket
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C#
Java
JavaScript
Python
C
C++
Delphi
Java
Perl
PHP
Tcl
Server-side scripts infoStored proceduresnononoyes 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 enginesyesnoneselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencynoneImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesnoyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononoyes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemgranular access controls, API key management, content filtersnoMandatory use of cryptographic tokens, containing fine-grained authorizations

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More resources
Apache DruidCoveoKyligence EnterprisemSQL infoMini SQLWarp 10
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