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DBMS > Apache Impala vs. RDF4J vs. StarRocks

System Properties Comparison Apache Impala vs. RDF4J vs. StarRocks

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonStarRocks  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.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 DBMSRDF storeRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score0.69
Rank#230  Overall
#9  RDF stores
Score1.04
Rank#189  Overall
#88  Relational DBMS
Websiteimpala.apache.orgrdf4j.orgwww.starrocks.io
Technical documentationimpala.apache.org/­impala-docs.htmlrdf4j.org/­documentationdocs.starrocks.io/­en-us/­latest/­introduction/­StarRocks_intro
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.The Linux Foundation infosince Feb 2023
Initial release201320042020
Current release4.1.0, June 20222.5.3, March 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoEclipse Distribution License (EDL), v1.0.Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaC++, Java
Server operating systemsLinuxLinux
OS X
Unix
Windows
Linux
Data schemeyesyes infoRDF Schemasyes
Typing infopredefined data types such as float or dateyesyesyes
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.nono
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnoyes
APIs and other access methodsJDBC
ODBC
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
JDBC
MySQL protocol
Supported programming languagesAll languages supporting JDBC/ODBCJava
PHP
Python
Java
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyesuser defined functions
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnonehorizontal partitioning (by range and hash)
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoIsolation support depends on the API usedno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes 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.nono
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosnoRole based access control and fine grained access rights

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More resources
Apache ImpalaRDF4J infoformerly known as SesameStarRocks
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