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DBMS > AllegroGraph vs. HEAVY.AI vs. IBM Db2 Event Store vs. JanusGraph

System Properties Comparison AllegroGraph vs. HEAVY.AI vs. IBM Db2 Event Store vs. JanusGraph

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareDistributed Event Store optimized for Internet of Things use casesA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Relational DBMSEvent Store
Time Series DBMS
Graph DBMS
Secondary database modelsSpatial DBMSSpatial 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
Score1.77
Rank#141  Overall
#65  Relational DBMS
Score0.19
Rank#323  Overall
#2  Event Stores
#28  Time Series DBMS
Score1.94
Rank#129  Overall
#12  Graph DBMS
Websiteallegrograph.comgithub.com/­heavyai/­heavydb
www.heavy.ai
www.ibm.com/­products/­db2-event-storejanusgraph.org
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmldocs.heavy.aiwww.ibm.com/­docs/­en/­db2-event-storedocs.janusgraph.org
DeveloperFranz Inc.HEAVY.AI, Inc.IBMLinux Foundation; originally developed as Titan by Aurelius
Initial release2004201620172017
Current release8.0, December 20235.10, January 20222.00.6.3, February 2023
License infoCommercial or Open Sourcecommercial infoLimited community edition freeOpen Source infoApache Version 2; enterprise edition availablecommercial infofree developer edition availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++ and CUDAC and C++Java
Server operating systemsLinux
OS X
Windows
LinuxLinux infoLinux, macOS, Windows for the developer additionLinux
OS X
Unix
Windows
Data schemeyes infoRDF schemasyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 possiblenonono
Secondary indexesyesnonoyes
SQL infoSupport of SQLSPARQL is used as query languageyesyes infothrough the embedded Spark runtimeno
APIs and other access methodsRESTful HTTP API
SPARQL
JDBC
ODBC
Thrift
Vega
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
All languages supporting JDBC/ODBC/Thrift
Python
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
Clojure
Java
Python
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispnoyesyes
Triggersyesnonoyes
Partitioning methods infoMethods for storing different data on different nodeswith FederationSharding infoRound robinShardingyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replicationActive-active shard replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infovia Faunus, a graph analytics engine
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynononoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesNo - written data is immutableyes
Durability infoSupport for making data persistentyesyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcast
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-standardfine grained access rights according to SQL-standardUser authentification and security via Rexster Graph Server
More information provided by the system vendor
AllegroGraphHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022IBM Db2 Event StoreJanusGraph infosuccessor of Titan
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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