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DBMS > Kinetica vs. Microsoft Azure Table Storage vs. OpenEdge vs. openGauss vs. Realm

System Properties Comparison Kinetica vs. Microsoft Azure Table Storage vs. OpenEdge vs. openGauss vs. Realm

Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonOpenEdge  Xexclude from comparisonopenGauss  Xexclude from comparisonRealm  Xexclude from comparison
DescriptionFully vectorized database across both GPUs and CPUsA Wide Column Store for rapid development using massive semi-structured datasetsApplication development environment with integrated database management systemAn enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by HuaweiA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core Data
Primary database modelRelational DBMSWide column storeRelational DBMSRelational DBMSDocument store
Secondary database modelsSpatial DBMS
Time Series DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score4.48
Rank#75  Overall
#6  Wide column stores
Score3.51
Rank#86  Overall
#46  Relational DBMS
Score1.08
Rank#183  Overall
#84  Relational DBMS
Score7.60
Rank#52  Overall
#9  Document stores
Websitewww.kinetica.comazure.microsoft.com/­en-us/­services/­storage/­tableswww.progress.com/­openedgegitee.com/­opengauss
opengauss.org
realm.io
Technical documentationdocs.kinetica.comdocumentation.progress.com/­output/­ua/­OpenEdge_latestdocs.opengauss.org/­en
gitee.com/­opengauss/­docs
realm.io/­docs
DeveloperKineticaMicrosoftProgress Software CorporationHuawei and openGauss communityRealm, acquired by MongoDB in May 2019
Initial release20122012198420192014
Current release7.1, August 2021OpenEdge 12.2, March 20203.0, March 2022
License infoCommercial or Open SourcecommercialcommercialcommercialOpen SourceOpen Source
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++C, C++, Java
Server operating systemsLinuxhostedAIX
HP-UX
Linux
Solaris
Windows
LinuxAndroid
Backend: server-less
iOS
Windows
Data schemeyesschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nonoyesnono
Secondary indexesyesnoyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnoyes infoclose to SQL 92ANSI SQL 2011no
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
RESTful HTTP APIJDBC
ODBC
JDBC
ODBC
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Progress proprietary ABL (Advanced Business Language)C
C++
Java
.Net
Java infowith Android only
Objective-C
React Native
Swift
Server-side scripts infoStored proceduresuser defined functionsnoyesyesno inforuns within the applications so server-side scripts are unnecessary
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangenoyesyesyes infoChange Listeners
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud servicehorizontal partitioning infosince Version 11.4horizontal partitioning (by range, list and hash)none
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Source-replica replicationSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanooptimistic lockingACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoGPU vRAM or System RAMnononoyes infoIn-Memory realm
User concepts infoAccess controlAccess rights for users and roles on table levelAccess rights based on private key authentication or shared access signaturesUsers and groupsAccess rights for users, groups and roles according to SQL-standardyes

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KineticaMicrosoft Azure Table StorageOpenEdgeopenGaussRealm
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