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DBMS > Blazegraph vs. H2 vs. HugeGraph vs. Hypertable

System Properties Comparison Blazegraph vs. H2 vs. HugeGraph vs. Hypertable

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Editorial information provided by DB-Engines
NameBlazegraph  Xexclude from comparisonH2  Xexclude from comparisonHugeGraph  Xexclude from comparisonHypertable  Xexclude from comparison
Amazon has acquired Blazegraph's domain and (probably) product. It is said that Amazon Neptune is based on Blazegraph.Hypertable has stopped its further development with March 2016 and is removed 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.Full-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.A fast-speed and highly-scalable Graph DBMSAn open source BigTable implementation based on distributed file systems such as Hadoop
Primary database modelGraph DBMS
RDF store
Relational DBMSGraph DBMSWide column store
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
Score8.33
Rank#46  Overall
#30  Relational DBMS
Score0.17
Rank#335  Overall
#31  Graph DBMS
Websiteblazegraph.comwww.h2database.comgithub.com/­hugegraph
hugegraph.apache.org
Technical documentationwiki.blazegraph.comwww.h2database.com/­html/­main.htmlhugegraph.apache.org/­docs
DeveloperBlazegraphThomas MuellerBaiduHypertable Inc.
Initial release2006200520182009
Current release2.1.5, March 20192.2.220, July 20230.90.9.8.11, March 2016
License infoCommercial or Open SourceOpen Source infoextended commercial license availableOpen Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoApache Version 2.0Open Source infoGNU version 3. Commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJavaC++
Server operating systemsLinux
OS X
Windows
All OS with a Java VMLinux
macOS
Unix
Linux
OS X
Windows infoan inofficial Windows port is available
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyes infoRDF literal typesyesyesno
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.nono
Secondary indexesyesyesyes infoalso supports composite index and range indexrestricted infoonly exact value or prefix value scans
SQL infoSupport of SQLSPARQL is used as query languageyesnono
APIs and other access methodsJava API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
JDBC
ODBC
Java API
RESTful HTTP API
TinkerPop Gremlin
C++ API
Thrift
Supported programming languages.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
JavaGroovy
Java
Python
C++
Java
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresyesJava Stored Procedures and User-Defined Functionsasynchronous Gremlin script jobsno
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneyes infodepending on used storage backend, e.g. Cassandra and HBaseSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesWith clustering: 2 database servers on different computers operate on identical copies of a databaseyes infodepending on used storage backend, e.g. Cassandra and HBaseselectable replication factor on file system level
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonovia hugegraph-sparkyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in Graphsyesyes infoedges in graphno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
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.yesyes
User concepts infoAccess controlSecurity and Authentication via Web Application Container (Tomcat, Jetty)fine grained access rights according to SQL-standardUsers, roles and permissionsno

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More resources
BlazegraphH2HugeGraphHypertable
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