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DBMS > Blazegraph vs. GeoSpock vs. Hazelcast vs. IBM Db2 Event Store

System Properties Comparison Blazegraph vs. GeoSpock vs. Hazelcast vs. IBM Db2 Event Store

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Editorial information provided by DB-Engines
NameBlazegraph  Xexclude from comparisonGeoSpock  Xexclude from comparisonHazelcast  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparison
Amazon has acquired Blazegraph's domain and (probably) product. It is said that Amazon Neptune is based on Blazegraph.GeoSpock seems to be discontinued. Therefore it will be 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.Spatial and temporal data processing engine for extreme data scaleA widely adopted in-memory data gridDistributed Event Store optimized for Internet of Things use cases
Primary database modelGraph DBMS
RDF store
Relational DBMSKey-value storeEvent Store
Time Series DBMS
Secondary database modelsTime Series DBMSDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.75
Rank#219  Overall
#19  Graph DBMS
#8  RDF stores
Score5.97
Rank#57  Overall
#6  Key-value stores
Score0.19
Rank#323  Overall
#2  Event Stores
#28  Time Series DBMS
Websiteblazegraph.comgeospock.comhazelcast.comwww.ibm.com/­products/­db2-event-store
Technical documentationwiki.blazegraph.comhazelcast.org/­imdg/­docswww.ibm.com/­docs/­en/­db2-event-store
DeveloperBlazegraphGeoSpockHazelcastIBM
Initial release200620082017
Current release2.1.5, March 20192.0, September 20195.3.6, November 20232.0
License infoCommercial or Open SourceOpen Source infoextended commercial license availablecommercialOpen Source infoApache Version 2; commercial licenses availablecommercial infofree developer edition available
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava, JavascriptJavaC and C++
Server operating systemsLinux
OS X
Windows
hostedAll OS with a Java VMLinux infoLinux, macOS, Windows for the developer addition
Data schemeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyes infoRDF literal typesyesyesyes
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.noyes infothe object must implement a serialization strategyno
Secondary indexesyestemporal, categoricalyesno
SQL infoSupport of SQLSPARQL is used as query languageANSI SQL for query only (using Presto)SQL-like query languageyes infothrough the embedded Spark runtime
APIs and other access methodsJava API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
JDBCJCache
JPA
Memcached protocol
RESTful HTTP API
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
Supported programming languages.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
Server-side scripts infoStored proceduresyesnoyes infoEvent Listeners, Executor Servicesyes
Triggersnonoyes infoEventsno
Partitioning methods infoMethods for storing different data on different nodesShardingAutomatic shardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infoReplicated MapActive-active shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmEventual Consistency
Foreign keys infoReferential integrityyes infoRelationships in Graphsnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoone or two-phase-commit; repeatable reads; read commitedno
Concurrency infoSupport for concurrent manipulation of datayesyesyesNo - written data is immutable
Durability infoSupport for making data persistentyesyesyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storage
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlSecurity and Authentication via Web Application Container (Tomcat, Jetty)Access rights for users can be defined per tableRole-based access controlfine grained access rights according to SQL-standard

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More resources
BlazegraphGeoSpockHazelcastIBM Db2 Event Store
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