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DBMS > AllegroGraph vs. Brytlyt vs. Ehcache vs. HBase

System Properties Comparison AllegroGraph vs. Brytlyt vs. Ehcache vs. HBase

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonBrytlyt  Xexclude from comparisonEhcache  Xexclude from comparisonHBase  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLA widely adopted Java cache with tiered storage optionsWide-column store based on Apache Hadoop and on concepts of BigTable
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Relational DBMSKey-value storeWide column store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.06
Rank#187  Overall
#30  Document stores
#17  Graph DBMS
#7  RDF stores
#7  Vector DBMS
Score0.29
Rank#288  Overall
#131  Relational DBMS
Score4.89
Rank#67  Overall
#8  Key-value stores
Score30.50
Rank#26  Overall
#2  Wide column stores
Websiteallegrograph.combrytlyt.iowww.ehcache.orghbase.apache.org
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmldocs.brytlyt.iowww.ehcache.org/­documentationhbase.apache.org/­book.html
DeveloperFranz Inc.BrytlytTerracotta Inc, owned by Software AGApache Software Foundation infoApache top-level project, originally developed by Powerset
Initial release2004201620092008
Current release8.0, December 20235.0, August 20233.10.0, March 20222.3.4, January 2021
License infoCommercial or Open Sourcecommercial infoLimited community edition freecommercialOpen Source infoApache Version 2; commercial licenses availableOpen Source infoApache version 2
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 CUDAJavaJava
Server operating systemsLinux
OS X
Windows
Linux
OS X
Windows
All OS with a Java VMLinux
Unix
Windows infousing Cygwin
Data schemeyes infoRDF schemasyesschema-freeschema-free, schema definition possible
Typing infopredefined data types such as float or dateyesyesyesoptions to bring your own types, AVRO
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.no infobulk load of XML files possibleyes infospecific XML-type available, but no XML query functionality.nono
Secondary indexesyesyesnono
SQL infoSupport of SQLSPARQL is used as query languageyesnono
APIs and other access methodsRESTful HTTP API
SPARQL
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JCacheJava API
RESTful HTTP API
Thrift
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
.Net
C
C++
Delphi
Java
Perl
Python
Tcl
JavaC
C#
C++
Groovy
Java
PHP
Python
Scala
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispuser defined functions infoin PL/pgSQLnoyes infoCoprocessors in Java
Triggersyesyesyes infoCache Event Listenersyes
Partitioning methods infoMethods for storing different data on different nodeswith FederationSharding infoby using Terracotta ServerSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replicationyes infoby using Terracotta ServerMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyTunable Consistency (Strong, Eventual, Weak)Immediate Consistency or Eventual Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDyes infosupports JTA and can work as an XA resourceSingle row ACID (across millions of columns)
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infousing a tiered cache-storage approachyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationfine grained access rights according to SQL-standardnoAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC
More information provided by the system vendor
AllegroGraphBrytlytEhcacheHBase
Specific characteristicsKnowledge Graph Platform Leader FedShard - Designed for Entity-Event Knowledge Graph...
» more
Competitive advantagesAllegroGraph is uniquely suited to support adhoc queries through SPARQL, Prolog and...
» more
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