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DBMS > Apache Phoenix vs. Atos Standard Common Repository vs. RDF4J vs. RRDtool vs. StarRocks

System Properties Comparison Apache Phoenix vs. Atos Standard Common Repository vs. RDF4J vs. RRDtool vs. StarRocks

Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonRRDtool  Xexclude from comparisonStarRocks  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.Industry standard data logging and graphing tool for time series data. RRD is an acronym for round-robin database. infoThe data is stored in a circular buffer, thus the system storage footprint remains constant over time.An open source, high-performance columnar analytical database that enables real-time, multi-dimensional, and highly concurrent data analytics infoForked from Apache Doris
Primary database modelRelational DBMSDocument store
Key-value store
RDF storeTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.06
Rank#123  Overall
#58  Relational DBMS
Score0.74
Rank#222  Overall
#9  RDF stores
Score1.90
Rank#132  Overall
#11  Time Series DBMS
Score0.93
Rank#198  Overall
#93  Relational DBMS
Websitephoenix.apache.orgatos.net/en/convergence-creators/portfolio/standard-common-repositoryrdf4j.orgoss.oetiker.ch/­rrdtoolwww.starrocks.io
Technical documentationphoenix.apache.orgrdf4j.org/­documentationoss.oetiker.ch/­rrdtool/­docdocs.starrocks.io/­en-us/­latest/­introduction/­StarRocks_intro
DeveloperApache Software FoundationAtos Convergence CreatorsSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.Tobias OetikerThe Linux Foundation infosince Feb 2023
Initial release20142016200419992020
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 201917031.8.0, 20222.5.3, March 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoEclipse Distribution License (EDL), v1.0.Open Source infoGPL V2 and FLOSSOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJavaC infoImplementations in Java (e.g. RRD4J) and C# availableC++, Java
Server operating systemsLinux
Unix
Windows
LinuxLinux
OS X
Unix
Windows
HP-UX
Linux
Linux
Data schemeyes infolate-bound, schema-on-read capabilitiesSchema and schema-less with LDAP viewsyes infoRDF Schemasyesyes
Typing infopredefined data types such as float or dateyesoptionalyesNumeric data onlyyes
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 infoExporting into and restoring from XML files possibleno
Secondary indexesyesyesyesnoyes
SQL infoSupport of SQLyesnononoyes
APIs and other access methodsJDBCLDAPJava API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
in-process shared library
Pipes
JDBC
MySQL protocol
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
All languages with LDAP bindingsJava
PHP
Python
C infowith librrd library
C# infowith a different implementation of RRDTool
Java infowith a different implementation of RRDTool
JavaScript (Node.js) infowith a different implementation of RRDTool
Lua
Perl
PHP infowith a wrapper library
Python
Ruby
Java
Server-side scripts infoStored proceduresuser defined functionsnoyesnouser defined functions
Triggersnoyesyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infocell divisionnonenonehorizontal partitioning (by range and hash)
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesnonenone
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 Consistency or Eventual Consistency depending on configurationnoneImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsACID infoIsolation support depends on the API usednono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoby using the rrdcached daemonyes
Durability infoSupport for making data persistentyesyesyes infoin-memory storage is supported as wellyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesno
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyLDAP bind authenticationnonoRole based access control and fine grained access rights

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More resources
Apache PhoenixAtos Standard Common RepositoryRDF4J infoformerly known as SesameRRDtoolStarRocks
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