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DBMS > Apache Phoenix vs. Blazegraph vs. GeoSpock vs. Hazelcast

System Properties Comparison Apache Phoenix vs. Blazegraph vs. GeoSpock vs. Hazelcast

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonBlazegraph  Xexclude from comparisonGeoSpock  Xexclude from comparisonHazelcast  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.
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseHigh-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 grid
Primary database modelRelational DBMSGraph DBMS
RDF store
Relational DBMSKey-value store
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
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score0.75
Rank#219  Overall
#19  Graph DBMS
#8  RDF stores
Score5.97
Rank#57  Overall
#6  Key-value stores
Websitephoenix.apache.orgblazegraph.comgeospock.comhazelcast.com
Technical documentationphoenix.apache.orgwiki.blazegraph.comhazelcast.org/­imdg/­docs
DeveloperApache Software FoundationBlazegraphGeoSpockHazelcast
Initial release201420062008
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20192.1.5, March 20192.0, September 20195.3.6, November 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoextended commercial license availablecommercialOpen Source infoApache Version 2; commercial licenses available
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJava, JavascriptJava
Server operating systemsLinux
Unix
Windows
Linux
OS X
Windows
hostedAll OS with a Java VM
Data schemeyes infolate-bound, schema-on-read capabilitiesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyes infoRDF literal typesyesyes
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.nonoyes infothe object must implement a serialization strategy
Secondary indexesyesyestemporal, categoricalyes
SQL infoSupport of SQLyesSPARQL is used as query languageANSI SQL for query only (using Presto)SQL-like query language
APIs and other access methodsJDBCJava API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
JDBCJCache
JPA
Memcached protocol
RESTful HTTP API
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresuser defined functionsyesnoyes infoEvent Listeners, Executor Services
Triggersnononoyes infoEvents
Partitioning methods infoMethods for storing different data on different nodesShardingShardingAutomatic shardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesyes infoReplicated Map
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus Algorithm
Foreign keys infoReferential integritynoyes infoRelationships in Graphsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoone or two-phase-commit; repeatable reads; read commited
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.yesnoyes
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancySecurity and Authentication via Web Application Container (Tomcat, Jetty)Access rights for users can be defined per tableRole-based access control

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More resources
Apache PhoenixBlazegraphGeoSpockHazelcast
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