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DBMS > ArcadeDB vs. Blazegraph vs. Hive

System Properties Comparison ArcadeDB vs. Blazegraph vs. Hive

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Editorial information provided by DB-Engines
NameArcadeDB  Xexclude from comparisonBlazegraph  Xexclude from comparisonHive  Xexclude from comparison
Amazon has acquired Blazegraph's domain and (probably) product. It is said that Amazon Neptune is based on Blazegraph.
DescriptionFast and scalable multi-model DBMS, originally forked from OrientDB but most of the code has been rewrittenHigh-performance graph database supporting Semantic Web (RDF/SPARQL) and Graph Database (tinkerpop3, blueprints, vertex-centric) APIs with scale-out and High Availability.data warehouse software for querying and managing large distributed datasets, built on Hadoop
Primary database modelDocument store
Graph DBMS
Key-value store
Time Series DBMS infoin next version
Graph DBMS
RDF store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.05
Rank#369  Overall
#52  Document stores
#36  Graph DBMS
#56  Key-value stores
#38  Time Series DBMS
Score0.75
Rank#235  Overall
#20  Graph DBMS
#8  RDF stores
Score65.81
Rank#18  Overall
#12  Relational DBMS
Websitearcadedb.comblazegraph.comhive.apache.org
Technical documentationdocs.arcadedb.comwiki.blazegraph.comcwiki.apache.org/­confluence/­display/­Hive/­Home
DeveloperArcade DataBlazegraphApache Software Foundation infoinitially developed by Facebook
Initial release202120062012
Current releaseSeptember 20212.1.5, March 20193.1.3, April 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoextended commercial license availableOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJava
Server operating systemsAll OS with a Java VMLinux
OS X
Windows
All OS with a Java VM
Data schemeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyes infoRDF literal typesyes
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
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL-like query language, no joinsSPARQL is used as query languageSQL-like DML and DDL statements
APIs and other access methodsJDBC
MongoDB API
OpenCypher
PostgreSQL wire protocol
Redis API
RESTful HTTP/JSON API
TinkerPop Gremlin
Java API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
JDBC
ODBC
Thrift
Supported programming languagesJava.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
C++
Java
PHP
Python
Server-side scripts infoStored proceduresyesyes infouser defined functions and integration of map-reduce
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoquery execution via MapReduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Foreign keys infoReferential integrityyes inforelationship in graphsyes infoRelationships in Graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
User concepts infoAccess controlSecurity and Authentication via Web Application Container (Tomcat, Jetty)Access rights for users, groups and roles

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ArcadeDBBlazegraphHive
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