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DBMS > Brytlyt vs. HBase vs. Stardog vs. STSdb

System Properties Comparison Brytlyt vs. HBase vs. Stardog vs. STSdb

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Editorial information provided by DB-Engines
NameBrytlyt  Xexclude from comparisonHBase  Xexclude from comparisonStardog  Xexclude from comparisonSTSdb  Xexclude from comparison
DescriptionScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLWide-column store based on Apache Hadoop and on concepts of BigTableEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualizationKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelRelational DBMSWide column storeGraph DBMS
RDF store
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#288  Overall
#131  Relational DBMS
Score30.50
Rank#26  Overall
#2  Wide column stores
Score2.02
Rank#123  Overall
#11  Graph DBMS
#6  RDF stores
Score0.04
Rank#360  Overall
#52  Key-value stores
Websitebrytlyt.iohbase.apache.orgwww.stardog.comgithub.com/­STSSoft/­STSdb4
Technical documentationdocs.brytlyt.iohbase.apache.org/­book.htmldocs.stardog.com
DeveloperBrytlytApache Software Foundation infoApache top-level project, originally developed by PowersetStardog-UnionSTS Soft SC
Initial release2016200820102011
Current release5.0, August 20232.3.4, January 20217.3.0, May 20204.0.8, September 2015
License infoCommercial or Open SourcecommercialOpen Source infoApache version 2commercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/studentsOpen Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++ and CUDAJavaJavaC#
Server operating systemsLinux
OS X
Windows
Linux
Unix
Windows infousing Cygwin
Linux
macOS
Windows
Windows
Data schemeyesschema-free, schema definition possibleschema-free and OWL/RDFS-schema supportyes
Typing infopredefined data types such as float or dateyesoptions to bring your own types, AVROyesyes infoprimitive types and user defined types (classes)
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.nono infoImport/export of XML data possible
Secondary indexesyesnoyes infosupports real-time indexing in full-text and geospatialno
SQL infoSupport of SQLyesnoYes, compatible with all major SQL variants through dedicated BI/SQL Serverno
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Java API
RESTful HTTP API
Thrift
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
.NET Client API
Supported programming languages.Net
C
C++
Delphi
Java
Perl
Python
Tcl
C
C#
C++
Groovy
Java
PHP
Python
Scala
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
C#
Java
Server-side scripts infoStored proceduresuser defined functions infoin PL/pgSQLyes infoCoprocessors in Javauser defined functions and aggregates, HTTP Server extensions in Javano
Triggersyesyesyes infovia event handlersno
Partitioning methods infoMethods for storing different data on different nodesShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication
Source-replica replication
Multi-source replication in HA-Clusternone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual ConsistencyImmediate Consistency in HA-Cluster
Foreign keys infoReferential integrityyesnoyes inforelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDSingle row ACID (across millions of columns)ACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACAccess rights for users and rolesno

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More resources
BrytlytHBaseStardogSTSdb
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