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DBMS > Kinetica vs. Microsoft Azure Synapse Analytics vs. XTDB

System Properties Comparison Kinetica vs. Microsoft Azure Synapse Analytics vs. XTDB

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Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
DescriptionFully vectorized database across both GPUs and CPUsElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelRelational DBMSRelational DBMSDocument store
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score0.11
Rank#343  Overall
#46  Document stores
Websitewww.kinetica.comazure.microsoft.com/­services/­synapse-analyticsgithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationdocs.kinetica.comdocs.microsoft.com/­azure/­synapse-analyticswww.xtdb.com/­docs
DeveloperKineticaMicrosoftJuxt Ltd.
Initial release201220162019
Current release7.1, August 20211.19, September 2021
License infoCommercial or Open SourcecommercialcommercialOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++C++Clojure
Server operating systemsLinuxhostedAll OS with a Java 8 (and higher) VM
Linux
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyes, 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 indexesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyeslimited SQL, making use of Apache Calcite
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
HTTP REST
JDBC
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
C#
Java
PHP
Clojure
Java
Server-side scripts infoStored proceduresuser defined functionsTransact SQLno
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangenono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding, horizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityyesno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes, 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.yes infoGPU vRAM or System RAM
User concepts infoAccess controlAccess rights for users and roles on table levelyes

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More resources
KineticaMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseXTDB infoformerly named Crux
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