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DBMS > Blazegraph vs. Brytlyt vs. Kinetica vs. NSDb vs. Oracle Coherence

System Properties Comparison Blazegraph vs. Brytlyt vs. Kinetica vs. NSDb vs. Oracle Coherence

Editorial information provided by DB-Engines
NameBlazegraph  Xexclude from comparisonBrytlyt  Xexclude from comparisonKinetica  Xexclude from comparisonNSDb  Xexclude from comparisonOracle Coherence  Xexclude from comparison
Amazon has acquired Blazegraph's domain and (probably) product. It is said that Amazon Neptune is based on Blazegraph.
DescriptionHigh-performance graph database supporting Semantic Web (RDF/SPARQL) and Graph Database (tinkerpop3, blueprints, vertex-centric) APIs with scale-out and High Availability.Scalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLFully vectorized database across both GPUs and CPUsScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesOracles in-memory data grid solution
Primary database modelGraph DBMS
RDF store
Relational DBMSRelational DBMSTime Series DBMSKey-value store
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.81
Rank#213  Overall
#19  Graph DBMS
#8  RDF stores
Score0.38
Rank#276  Overall
#127  Relational DBMS
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score0.08
Rank#369  Overall
#40  Time Series DBMS
Score1.97
Rank#129  Overall
#22  Key-value stores
Websiteblazegraph.combrytlyt.iowww.kinetica.comnsdb.iowww.oracle.com/­java/­coherence
Technical documentationwiki.blazegraph.comdocs.brytlyt.iodocs.kinetica.comnsdb.io/­Architecturedocs.oracle.com/­en/­middleware/­standalone/­coherence
DeveloperBlazegraphBrytlytKineticaOracle
Initial release20062016201220172007
Current release2.1.5, March 20195.0, August 20237.1, August 202114.1, August 2023
License infoCommercial or Open SourceOpen Source infoextended commercial license availablecommercialcommercialOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC, C++ and CUDAC, C++Java, ScalaJava
Server operating systemsLinux
OS X
Windows
Linux
OS X
Windows
LinuxLinux
macOS
All OS with a Java VM
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyes infoRDF literal typesyesyesyes: int, bigint, decimal, stringyes
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.nonono
Secondary indexesyesyesyesall fields are automatically indexedno
SQL infoSupport of SQLSPARQL is used as query languageyesSQL-like DML and DDL statementsSQL-like query languageno
APIs and other access methodsJava API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
RESTful HTTP API
gRPC
HTTP REST
WebSocket
JCache
JPA
RESTful HTTP API
Supported programming languages.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
.Net
C
C++
Delphi
Java
Perl
Python
Tcl
C++
Java
JavaScript (Node.js)
Python
Java
Scala
.Net
C++
Java
Server-side scripts infoStored proceduresyesuser defined functions infoin PL/pgSQLuser defined functionsnono
Triggersnoyesyes infotriggers when inserted values for one or more columns fall within a specified rangeyes infoLive Events
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationSource-replica replicationyes, with selectable consistency level
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 Consistency or Eventual Consistency depending on configurationEventual ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in Graphsyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnonoconfigurable
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesUsing Apache Luceneyes infooptionally
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 controlSecurity and Authentication via Web Application Container (Tomcat, Jetty)fine grained access rights according to SQL-standardAccess rights for users and roles on table levelauthentification to access the cache via certificates or http basic authentication

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More resources
BlazegraphBrytlytKineticaNSDbOracle Coherence
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