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DBMS > Brytlyt vs. EDB Postgres vs. Kinetica vs. Oracle Coherence vs. Realm

System Properties Comparison Brytlyt vs. EDB Postgres vs. Kinetica vs. Oracle Coherence vs. Realm

Editorial information provided by DB-Engines
NameBrytlyt  Xexclude from comparisonEDB Postgres  Xexclude from comparisonKinetica  Xexclude from comparisonOracle Coherence  Xexclude from comparisonRealm  Xexclude from comparison
DescriptionScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLThe EDB Postgres Platform is an enterprise-class data management platform based on the open source database PostgreSQL with flexible deployment options and Oracle compatibility features, complemented by tool kits for management, integration, and migration.Fully vectorized database across both GPUs and CPUsOracles in-memory data grid solutionA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core Data
Primary database modelRelational DBMSRelational DBMSRelational DBMSKey-value storeDocument store
Secondary database modelsDocument store
Spatial DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#288  Overall
#131  Relational DBMS
Score1.90
Rank#135  Overall
#63  Relational DBMS
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score1.92
Rank#130  Overall
#22  Key-value stores
Score7.60
Rank#52  Overall
#9  Document stores
Websitebrytlyt.iowww.enterprisedb.comwww.kinetica.comwww.oracle.com/­java/­coherencerealm.io
Technical documentationdocs.brytlyt.iowww.enterprisedb.com/­docsdocs.kinetica.comdocs.oracle.com/­en/­middleware/­standalone/­coherencerealm.io/­docs
DeveloperBrytlytEnterpriseDBKineticaOracleRealm, acquired by MongoDB in May 2019
Initial release20162005201220072014
Current release5.0, August 202314, December 20217.1, August 202114.1, August 2023
License infoCommercial or Open Sourcecommercialcommercial infoBSD for PostgreSQL-componentscommercialcommercialOpen Source
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++ and CUDACC, C++Java
Server operating systemsLinux
OS X
Windows
Linux
Windows
LinuxAll OS with a Java VMAndroid
Backend: server-less
iOS
Windows
Data schemeyesyesyesschema-freeyes
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.yes infospecific XML-type available, but no XML query functionality.yes infospecific XML-type available, but no XML query functionality.nonono
Secondary indexesyesyesyesnoyes
SQL infoSupport of SQLyesyes infostandard with numerous extensionsSQL-like DML and DDL statementsnono
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
RESTful HTTP API
JCache
JPA
RESTful HTTP API
Supported programming languages.Net
C
C++
Delphi
Java
Perl
Python
Tcl
.Net
C
C++
Delphi
Java
Perl
PHP
Python
Tcl
C++
Java
JavaScript (Node.js)
Python
.Net
C++
Java
.Net
Java infowith Android only
Objective-C
React Native
Swift
Server-side scripts infoStored proceduresuser defined functions infoin PL/pgSQLuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.user defined functionsnono inforuns within the applications so server-side scripts are unnecessary
Triggersyesyesyes infotriggers when inserted values for one or more columns fall within a specified rangeyes infoLive Eventsyes infoChange Listeners
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infoby hash, list or rangeShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replicationSource-replica replicationyes, with selectable consistency levelnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoconfigurableACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyesyes infooptionallyyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoGPU vRAM or System RAMyesyes infoIn-Memory realm
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardAccess rights for users and roles on table levelauthentification to access the cache via certificates or http basic authenticationyes

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More resources
BrytlytEDB PostgresKineticaOracle CoherenceRealm
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