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DBMS > Blazegraph vs. Drizzle vs. HEAVY.AI vs. MaxDB vs. mSQL

System Properties Comparison Blazegraph vs. Drizzle vs. HEAVY.AI vs. MaxDB vs. mSQL

Editorial information provided by DB-Engines
NameBlazegraph  Xexclude from comparisonDrizzle  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonMaxDB infoformerly named Adabas-D  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparison
Amazon has acquired Blazegraph's domain and (probably) product. It is said that Amazon Neptune is based on Blazegraph.Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionHigh-performance graph database supporting Semantic Web (RDF/SPARQL) and Graph Database (tinkerpop3, blueprints, vertex-centric) APIs with scale-out and High Availability.MySQL 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 robust and reliable RDBMS optimized to run all major SAP solutionsmSQL (Mini SQL) is a simple and lightweight RDBMS
Primary database modelGraph DBMS
RDF store
Relational DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial 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
Score1.64
Rank#145  Overall
#67  Relational DBMS
Score2.26
Rank#114  Overall
#55  Relational DBMS
Score1.27
Rank#169  Overall
#76  Relational DBMS
Websiteblazegraph.comgithub.com/­heavyai/­heavydb
www.heavy.ai
maxdb.sap.comhughestech.com.au/­products/­msql
Technical documentationwiki.blazegraph.comdocs.heavy.aimaxdb.sap.com/­documentation
DeveloperBlazegraphDrizzle project, originally started by Brian AkerHEAVY.AI, Inc.SAP, acquired from Software AG (Adabas-D) in 1997Hughes Technologies
Initial release20062008201619841994
Current release2.1.5, March 20197.2.4, September 20125.10, January 20227.9.10.12, February 20244.4, October 2021
License infoCommercial or Open SourceOpen Source infoextended commercial license availableOpen Source infoGNU GPLOpen Source infoApache Version 2; enterprise edition availablecommercial infoLimited community edition freecommercial infofree licenses can be provided
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C++ and CUDAC++C
Server operating systemsLinux
OS X
Windows
FreeBSD
Linux
OS X
LinuxAIX
HP-UX
Linux
Solaris
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeschema-freeyesyesyesyes
Typing infopredefined data types such as float or dateyes infoRDF literal typesyesyesyesyes
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.nonono
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLSPARQL is used as query languageyes infowith proprietary extensionsyesyesA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggers
APIs and other access methodsJava API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
JDBCJDBC
ODBC
Thrift
Vega
ADO.NET
JDBC
ODBC
WebDAV
JDBC
ODBC
Supported programming languages.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
C
C++
Java
PHP
All languages supporting JDBC/ODBC/Thrift
Python
.Net
C#
Java
Perl
PHP
Python
C
C++
Delphi
Java
Perl
PHP
Tcl
Server-side scripts infoStored proceduresyesnonoyesno
Triggersnono infohooks for callbacks inside the server can be used.noyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoRound robinnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
Source-replica replication
Multi-source replicationSource-replica replicationnone
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 Consistencynone
Foreign keys infoReferential integrityyes infoRelationships in Graphsyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesno
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlSecurity and Authentication via Web Application Container (Tomcat, Jetty)Pluggable authentication mechanisms infoe.g. LDAP, HTTPfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardno

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More resources
BlazegraphDrizzleHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022MaxDB infoformerly named Adabas-DmSQL infoMini SQL
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