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DBMS > Blazegraph vs. Datomic vs. Drizzle vs. HEAVY.AI vs. Hyprcubd

System Properties Comparison Blazegraph vs. Datomic vs. Drizzle vs. HEAVY.AI vs. Hyprcubd

Editorial information provided by DB-Engines
NameBlazegraph  Xexclude from comparisonDatomic  Xexclude from comparisonDrizzle  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonHyprcubd  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.Hyprcubd seems to be discontinued. Therefore it 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.Datomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityMySQL 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 hardwareServerless Time Series DBMS
Primary database modelGraph DBMS
RDF store
Relational DBMSRelational DBMSRelational DBMSTime Series 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
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score1.64
Rank#145  Overall
#67  Relational DBMS
Websiteblazegraph.comwww.datomic.comgithub.com/­heavyai/­heavydb
www.heavy.ai
hyprcubd.com (offline)
Technical documentationwiki.blazegraph.comdocs.datomic.comdocs.heavy.ai
DeveloperBlazegraphCognitectDrizzle project, originally started by Brian AkerHEAVY.AI, Inc.Hyprcubd, Inc.
Initial release2006201220082016
Current release2.1.5, March 20191.0.6735, June 20237.2.4, September 20125.10, January 2022
License infoCommercial or Open SourceOpen Source infoextended commercial license availablecommercial infolimited edition freeOpen Source infoGNU GPLOpen Source infoApache Version 2; enterprise edition availablecommercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava, ClojureC++C++ and CUDAGo
Server operating systemsLinux
OS X
Windows
All OS with a Java VMFreeBSD
Linux
OS X
Linuxhosted
Data schemeschema-freeyesyesyesyes
Typing infopredefined data types such as float or dateyes infoRDF literal typesyesyesyesyes infotime, int, uint, float, string
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 indexesyesyesyesnono
SQL infoSupport of SQLSPARQL is used as query languagenoyes infowith proprietary extensionsyesSQL-like query language
APIs and other access methodsJava API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
RESTful HTTP APIJDBCJDBC
ODBC
Thrift
Vega
gRPC (https)
Supported programming languages.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
Clojure
Java
C
C++
Java
PHP
All languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresyesyes infoTransaction Functionsnonono
TriggersnoBy using transaction functionsno infohooks for callbacks inside the server can be used.nono
Partitioning methods infoMethods for storing different data on different nodesShardingnone infoBut extensive use of caching in the application peersShardingSharding infoRound robin
Replication methods infoMethods for redundantly storing data on multiple nodesyesnone infoBut extensive use of caching in the application peersMulti-source replication
Source-replica replication
Multi-source replication
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 ConsistencyEventual Consistency
Foreign keys infoReferential integrityyes infoRelationships in Graphsnoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesno
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and developmentyesno
User concepts infoAccess controlSecurity and Authentication via Web Application Container (Tomcat, Jetty)noPluggable authentication mechanisms infoe.g. LDAP, HTTPfine grained access rights according to SQL-standardtoken access

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More resources
BlazegraphDatomicDrizzleHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022Hyprcubd
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