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DBMS > Apache Kylin vs. Kinetica vs. VoltDB vs. XTDB

System Properties Comparison Apache Kylin vs. Kinetica vs. VoltDB vs. XTDB

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Editorial information provided by DB-Engines
NameApache Kylin  Xexclude from comparisonKinetica  Xexclude from comparisonVoltDB  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
DescriptionA distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stackFully vectorized database across both GPUs and CPUsDistributed In-Memory NewSQL RDBMS infoUsed for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memoryA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelRelational DBMSRelational DBMSRelational DBMSDocument store
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.20
Rank#175  Overall
#80  Relational DBMS
Score0.69
Rank#234  Overall
#107  Relational DBMS
Score1.46
Rank#159  Overall
#74  Relational DBMS
Score0.09
Rank#351  Overall
#47  Document stores
Websitekylin.apache.orgwww.kinetica.comwww.voltdb.comgithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationkylin.apache.org/­docsdocs.kinetica.comdocs.voltdb.comwww.xtdb.com/­docs
DeveloperApache Software Foundation, originally contributed from eBay IncKineticaVoltDB Inc.Juxt Ltd.
Initial release2015201220102019
Current release3.1.0, July 20207.1, August 202111.3, April 20221.19, September 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoAGPL for Community Edition, commercial license for Enterprise, AWS, and Pro EditionsOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC, C++Java, C++Clojure
Server operating systemsLinuxLinuxLinux
OS X infofor development
All OS with a Java 8 (and higher) VM
Linux
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes, extensible-data-notation format
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 SQLANSI SQL for queries (using Apache Calcite)SQL-like DML and DDL statementsyes infoonly a subset of SQL 99limited SQL, making use of Apache Calcite
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
Java API
JDBC
RESTful HTTP/JSON API
HTTP REST
JDBC
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
C#
C++
Erlang infonot officially supported
Go
Java
JavaScript infoNode.js
PHP
Python
Clojure
Java
Server-side scripts infoStored proceduresuser defined functionsJavano
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangenono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication
Source-replica replication
yes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesno infoFOREIGN KEY constraints are not supportedno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoTransactions are executed single-threaded within stored proceduresACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoData access is serialized by the serveryes
Durability infoSupport for making data persistentyesyesyes infoSnapshots and command loggingyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoGPU vRAM or System RAM
User concepts infoAccess controlAccess rights for users and roles on table levelUsers and roles with access to stored procedures

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More resources
Apache KylinKineticaVoltDBXTDB infoformerly named Crux
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