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DBMS > Apache Phoenix vs. GridGain vs. RDF4J vs. Sadas Engine

System Properties Comparison Apache Phoenix vs. GridGain vs. RDF4J vs. Sadas Engine

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonGridGain  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonSadas Engine  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseGridGain is an in-memory computing platform, built on Apache IgniteRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.SADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environments
Primary database modelRelational DBMSKey-value store
Relational DBMS
RDF storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.06
Rank#123  Overall
#58  Relational DBMS
Score1.55
Rank#150  Overall
#26  Key-value stores
#70  Relational DBMS
Score0.74
Rank#222  Overall
#9  RDF stores
Score0.07
Rank#373  Overall
#157  Relational DBMS
Websitephoenix.apache.orgwww.gridgain.comrdf4j.orgwww.sadasengine.com
Technical documentationphoenix.apache.orgwww.gridgain.com/­docs/­index.htmlrdf4j.org/­documentationwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentation
DeveloperApache Software FoundationGridGain Systems, Inc.Since 2016 officially forked into an Eclipse project, former developer was Aduna Software.SADAS s.r.l.
Initial release2014200720042006
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 2019GridGain 8.5.18.0
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoEclipse Distribution License (EDL), v1.0.commercial infofree trial version available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava, C++, .NetJavaC++
Server operating systemsLinux
Unix
Windows
Linux
OS X
Solaris
Windows
Linux
OS X
Unix
Windows
AIX
Linux
Windows
Data schemeyes infolate-bound, schema-on-read capabilitiesyesyes infoRDF Schemasyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.noyesno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyesANSI-99 for query and DML statements, subset of DDLnoyes
APIs and other access methodsJDBCHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
JDBC
ODBC
Proprietary protocol
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
C#
C++
Java
PHP
Python
Ruby
Scala
Java
PHP
Python
.Net
C
C#
C++
Groovy
Java
PHP
Python
Server-side scripts infoStored proceduresuser defined functionsyes (compute grid and cache interceptors can be used instead)yesno
Triggersnoyes (cache interceptors and events)yesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yes (replicated cache)nonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoin-memory storage is supported as wellyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infomanaged by 'Learn by Usage'
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancySecurity Hooks for custom implementationsnoAccess rights for users, groups and roles according to SQL-standard

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More resources
Apache PhoenixGridGainRDF4J infoformerly known as SesameSadas Engine
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