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DBMS > Apache Phoenix vs. GeoSpock vs. IRONdb vs. RDF4J

System Properties Comparison Apache Phoenix vs. GeoSpock vs. IRONdb vs. RDF4J

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonGeoSpock  Xexclude from comparisonIRONdb  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseSpatial and temporal data processing engine for extreme data scaleA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelRelational DBMSRelational DBMSTime Series DBMSRDF store
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score0.69
Rank#230  Overall
#9  RDF stores
Websitephoenix.apache.orggeospock.comwww.circonus.com/solutions/time-series-database/rdf4j.org
Technical documentationphoenix.apache.orgdocs.circonus.com/irondb/category/getting-startedrdf4j.org/­documentation
DeveloperApache Software FoundationGeoSpockCirconus LLC.Since 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release201420172004
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20192.0, September 2019V0.10.20, January 2018
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialOpen Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava, JavascriptC and C++Java
Server operating systemsLinux
Unix
Windows
hostedLinuxLinux
OS X
Unix
Windows
Data schemeyes infolate-bound, schema-on-read capabilitiesyesschema-freeyes infoRDF Schemas
Typing infopredefined data types such as float or dateyesyesyes infotext, numeric, histogramsyes
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.nonono
Secondary indexesyestemporal, categoricalnoyes
SQL infoSupport of SQLyesANSI SQL for query only (using Presto)SQL-like query language (Circonus Analytics Query Language: CAQL)no
APIs and other access methodsJDBCJDBCHTTP APIJava API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
Java
PHP
Python
Server-side scripts infoStored proceduresuser defined functionsnoyes, in Luayes
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesShardingAutomatic shardingAutomatic, metric affinity per nodenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
configurable replication factor, datacenter awarenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate consistency per node, eventual consistency across nodes
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoin-memory storage is supported as well
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyAccess rights for users can be defined per tablenono

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More resources
Apache PhoenixGeoSpockIRONdbRDF4J infoformerly known as Sesame
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