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DBMS > Apache Druid vs. Apache Kylin vs. Coveo vs. Splice Machine

System Properties Comparison Apache Druid vs. Apache Kylin vs. Coveo vs. Splice Machine

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonApache Kylin  Xexclude from comparisonCoveo  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataA distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stackAI-powered hosted search, recommendation and personalization platform providing tools for both low-code and full-code developmentOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSSearch engineRelational 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
Score1.18
Rank#172  Overall
#79  Relational DBMS
Score2.28
Rank#114  Overall
#11  Search engines
Score0.54
Rank#250  Overall
#114  Relational DBMS
Websitedruid.apache.orgkylin.apache.orgwww.coveo.comsplicemachine.com
Technical documentationdruid.apache.org/­docs/­latest/­designkylin.apache.org/­docsdocs.coveo.comsplicemachine.com/­how-it-works
DeveloperApache Software Foundation and contributorsApache Software Foundation, originally contributed from eBay IncCoveoSplice Machine
Initial release2012201520122014
Current release29.0.1, April 20243.1.0, July 20203.1, March 2021
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoApache Version 2.0commercialOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJava
Server operating systemsLinux
OS X
Unix
LinuxhostedLinux
OS X
Solaris
Windows
Data schemeyes infoschema-less columns are supportedyeshybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configurationyes
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.nonono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL for queryingANSI SQL for queries (using Apache Calcite)noyes
APIs and other access methodsJDBC
RESTful HTTP/JSON API
JDBC
ODBC
RESTful HTTP API
RESTful HTTP APIJDBC
Native Spark Datasource
ODBC
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C#
Java
JavaScript
Python
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresnonoyes infoJava
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedyesShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesyesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)
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 systemgranular access controls, API key management, content filtersAccess rights for users, groups and roles according to SQL-standard

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More resources
Apache DruidApache KylinCoveoSplice Machine
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