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DBMS > AllegroGraph vs. Drizzle vs. HEAVY.AI vs. ToroDB

System Properties Comparison AllegroGraph vs. Drizzle vs. HEAVY.AI vs. ToroDB

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonDrizzle  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonToroDB  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.ToroDB seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.A high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareA MongoDB-compatible JSON document store, built on top of PostgreSQL
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Relational DBMSRelational DBMSDocument store
Secondary database modelsSpatial DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.13
Rank#179  Overall
#30  Document stores
#17  Graph DBMS
#7  RDF stores
#7  Vector DBMS
Score1.64
Rank#145  Overall
#67  Relational DBMS
Websiteallegrograph.comgithub.com/­heavyai/­heavydb
www.heavy.ai
github.com/­torodb/­server
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmldocs.heavy.ai
DeveloperFranz Inc.Drizzle project, originally started by Brian AkerHEAVY.AI, Inc.8Kdata
Initial release2004200820162016
Current release8.0, December 20237.2.4, September 20125.10, January 2022
License infoCommercial or Open Sourcecommercial infoLimited community edition freeOpen Source infoGNU GPLOpen Source infoApache Version 2; enterprise edition availableOpen Source infoAGPL-V3
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 CUDAJava
Server operating systemsLinux
OS X
Windows
FreeBSD
Linux
OS X
LinuxAll OS with a Java 7 VM
Data schemeyes infoRDF schemasyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes infostring, integer, double, boolean, date, object_id
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 possiblenono
Secondary indexesyesyesno
SQL infoSupport of SQLSPARQL is used as query languageyes infowith proprietary extensionsyes
APIs and other access methodsRESTful HTTP API
SPARQL
JDBCJDBC
ODBC
Thrift
Vega
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
C
C++
Java
PHP
All languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispnono
Triggersyesno infohooks for callbacks inside the server can be used.nono
Partitioning methods infoMethods for storing different data on different nodeswith FederationShardingSharding infoRound robinSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
Multi-source replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnono
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.noyes
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationPluggable authentication mechanisms infoe.g. LDAP, HTTPfine grained access rights according to SQL-standardAccess rights for users and roles
More information provided by the system vendor
AllegroGraphDrizzleHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022ToroDB
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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