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DBMS > Kinetica vs. LeanXcale vs. Microsoft Access

System Properties Comparison Kinetica vs. LeanXcale vs. Microsoft Access

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Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonLeanXcale  Xexclude from comparisonMicrosoft Access  Xexclude from comparison
DescriptionFully vectorized database across both GPUs and CPUsA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesMicrosoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)
Primary database modelRelational DBMSKey-value store
Relational DBMS
Relational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.69
Rank#234  Overall
#107  Relational DBMS
Score0.35
Rank#283  Overall
#41  Key-value stores
#128  Relational DBMS
Score105.40
Rank#11  Overall
#8  Relational DBMS
Websitewww.kinetica.comwww.leanxcale.comwww.microsoft.com/­en-us/­microsoft-365/­access
Technical documentationdocs.kinetica.comdeveloper.microsoft.com/­en-us/­access
DeveloperKineticaLeanXcaleMicrosoft
Initial release201220151992
Current release7.1, August 20211902 (16.0.11328.20222), March 2019
License infoCommercial or Open Sourcecommercialcommercialcommercial infoBundled with Microsoft Office
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++C++
Server operating systemsLinuxWindows infoNot a real database server, but making use of DLLs
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyes
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.no
Secondary indexesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyes infothrough Apache Derbyyes infobut not compliant to any SQL standard
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
ADO.NET
DAO
ODBC
OLE DB
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
C
Java
Scala
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Server-side scripts infoStored proceduresuser defined functionsyes infosince Access 2010 using the ACE-engine
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangeyes infosince Access 2010 using the ACE-engine
Partitioning methods infoMethods for storing different data on different nodesShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnone
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 integrityyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID infobut no files for transaction logging
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infobut no files for transaction logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoGPU vRAM or System RAMyes
User concepts infoAccess controlAccess rights for users and roles on table levelno infoa simple user-level security was built in till version Access 2003

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More resources
KineticaLeanXcaleMicrosoft Access
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