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DBMS > ITTIA vs. Kinetica vs. LeanXcale vs. Yanza

System Properties Comparison ITTIA vs. Kinetica vs. LeanXcale vs. Yanza

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Editorial information provided by DB-Engines
NameITTIA  Xexclude from comparisonKinetica  Xexclude from comparisonLeanXcale  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionEdge Time Series DBMS with Real-Time Stream ProcessingFully vectorized database across both GPUs and CPUsA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesTime Series DBMS for IoT Applications
Primary database modelTime Series DBMSRelational DBMSKey-value store
Relational DBMS
Time Series DBMS
Secondary database modelsRelational DBMSSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.44
Rank#267  Overall
#23  Time Series DBMS
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score0.36
Rank#280  Overall
#40  Key-value stores
#129  Relational DBMS
Websitewww.ittia.comwww.kinetica.comwww.leanxcale.comyanza.com
Technical documentationdocs.kinetica.com
DeveloperITTIA L.L.C.KineticaLeanXcaleYanza
Initial release2007201220152015
Current release8.77.1, August 2021
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercial infofree version available
Cloud-based only infoOnly available as a cloud servicenononono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++C, C++
Server operating systemsLinux
Windows
LinuxWindows
Data schemeFixed schemayesyesschema-free
Typing infopredefined data types such as float or dateFloat/Blob/Integer/String/Unicode/Date/Time/Timestamp/Intervalyesno
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 indexesyesyesno
SQL infoSupport of SQLyesSQL-like DML and DDL statementsyes infothrough Apache Derbyno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
WebSocket
JDBC
ODBC
RESTful HTTP API
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
HTTP API
Supported programming languagesC
C++
JavaScript (Node.js)
Python
C++
Java
JavaScript (Node.js)
Python
C
Java
Scala
any language that supports HTTP calls
Server-side scripts infoStored proceduresyesuser defined functionsno
Triggersnoyes infotriggers when inserted values for one or more columns fall within a specified rangeyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACIDno
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes
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.yesyes infoGPU vRAM or System RAMyes
User concepts infoAccess controlDatabase file passwordsAccess rights for users and roles on table levelno

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More resources
ITTIAKineticaLeanXcaleYanza
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