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DBMS > Kinetica vs. Microsoft Access vs. Microsoft Azure Cosmos DB vs. Raima Database Manager vs. SpaceTime

System Properties Comparison Kinetica vs. Microsoft Access vs. Microsoft Azure Cosmos DB vs. Raima Database Manager vs. SpaceTime

Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonRaima Database Manager infoformerly named db_Vista  Xexclude from comparisonSpaceTime  Xexclude from comparison
DescriptionFully vectorized database across both GPUs and CPUsMicrosoft 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.)Globally distributed, horizontally scalable, multi-model database serviceRDBMS with a small footprint, either embedded into an application or used as a database serverSpaceTime is a spatio-temporal DBMS with a focus on performance.
Primary database modelRelational DBMSRelational DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Relational DBMS
Time Series DBMS
Spatial DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
Spatial DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score104.92
Rank#11  Overall
#8  Relational DBMS
Score29.04
Rank#27  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score0.46
Rank#259  Overall
#120  Relational DBMS
#22  Time Series DBMS
Score0.00
Rank#383  Overall
#7  Spatial DBMS
Websitewww.kinetica.comwww.microsoft.com/­en-us/­microsoft-365/­accessazure.microsoft.com/­services/­cosmos-dbraima.comwww.mireo.com/­spacetime
Technical documentationdocs.kinetica.comdeveloper.microsoft.com/­en-us/­accesslearn.microsoft.com/­azure/­cosmos-dbdocs.raima.com
DeveloperKineticaMicrosoftMicrosoftRaima Inc.Mireo
Initial release20121992201419842020
Current release7.1, August 20211902 (16.0.11328.20222), March 201915, June 2021
License infoCommercial or Open Sourcecommercialcommercial infoBundled with Microsoft Officecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++C++CC++
Server operating systemsLinuxWindows infoNot a real database server, but making use of DLLshostedAndroid
HP-UX
Integrity RTOS
iOS
Linux
OS X
QNX
Solaris
VxWorks
Windows
Linux
Data schemeyesyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyes infoJSON typesyesyes
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.nono infoExporting/Importing of XML structures possibleno
Secondary indexesyesyesyes infoAll properties auto-indexed by defaultyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsyes infobut not compliant to any SQL standardSQL-like query languageyesA subset of ANSI SQL is implemented
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
ADO.NET
DAO
ODBC
OLE DB
DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
ADO.NET
JDBC
ODBC
RESTful HTTP API
RESTful HTTP API
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
.Net
C
C++
Objective-C
PL/SQL
C#
C++
Python
Server-side scripts infoStored proceduresuser defined functionsyes infosince Access 2010 using the ACE-engineJavaScriptyes infobased on the ANSI/ISO SQL Persistent Stored Modules (PSM) specificationno
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangeyes infosince Access 2010 using the ACE-engineJavaScriptyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infoImplicit feature of the cloud servicehorizontal partitioningFixed-grid hypercubes
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneyes infoImplicit feature of the cloud serviceSource-replica replicationReal-time block device replication (DRBD)
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonowith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Immediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityyesyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infobut no files for transaction loggingMulti-item ACID transactions with snapshot isolation within a partitionACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyes infobut no files for transaction loggingyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoGPU vRAM or System RAMyesno
User concepts infoAccess controlAccess rights for users and roles on table levelno infoa simple user-level security was built in till version Access 2003Access rights can be defined down to the item levelnoyes
More information provided by the system vendor
KineticaMicrosoft AccessMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBRaima Database Manager infoformerly named db_VistaSpaceTime
Specific characteristicsRaima Database Manager (RDM) is an embedded time-series database optimized to run...
» more
Competitive advantagesDecreased time-to-market Industry-standard interfaces & tools for making your job...
» more
Typical application scenariosTypical use cases include: Internet of Things (IoT) Embedded In-Memory Database Time-Series...
» more
Key customersInfor, ABB, The Boeing Company, BAE Systems, Dow Jones, Dun & Bradstreet, Fujitsu,...
» more
Market metricsOver 30 000 applications developers worldwide have field-tested RDM products More...
» more
Licensing and pricing modelsJust as the technical aspects of Raima Database Manager are flexible, so are the...
» more
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19 May 2020

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
KineticaMicrosoft AccessMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBRaima Database Manager infoformerly named db_VistaSpaceTime
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