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DBMS > AllegroGraph vs. Apache Impala vs. RDF4J vs. SingleStore

System Properties Comparison AllegroGraph vs. Apache Impala vs. RDF4J vs. SingleStore

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonApache Impala  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSAnalytic DBMS for HadoopRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.MySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table type
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Relational DBMSRDF storeRelational DBMS
Secondary database modelsSpatial DBMSDocument storeDocument store
Spatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.84
Rank#204  Overall
#35  Document stores
#18  Graph DBMS
#7  RDF stores
#10  Vector DBMS
Score10.63
Rank#40  Overall
#24  Relational DBMS
Score0.72
Rank#222  Overall
#9  RDF stores
Score4.02
Rank#74  Overall
#39  Relational DBMS
Websiteallegrograph.comimpala.apache.orgrdf4j.orgwww.singlestore.com
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmlimpala.apache.org/­impala-docs.htmlrdf4j.org/­documentationdocs.singlestore.com
DeveloperFranz Inc.Apache Software Foundation infoApache top-level project, originally developed by ClouderaSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.SingleStore Inc.
Initial release2004201320042013
Current release8.0, December 20234.1.0, June 20228.5, January 2024
License infoCommercial or Open Sourcecommercial infoLimited community edition freeOpen Source infoApache Version 2Open Source infoEclipse Distribution License (EDL), v1.0.commercial infofree developer edition available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaC++, Go
Server operating systemsLinux
OS X
Windows
LinuxLinux
OS X
Unix
Windows
Linux info64 bit version required
Data schemeyes infoRDF schemasyesyes 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.no infobulk load of XML files possiblenono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSPARQL is used as query languageSQL-like DML and DDL statementsnoyes infobut no triggers and foreign keys
APIs and other access methodsRESTful HTTP API
SPARQL
JDBC
ODBC
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
All languages supporting JDBC/ODBCJava
PHP
Python
Bash
C
C#
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispyes infouser defined functions and integration of map-reduceyesyes
Triggersyesnoyesno
Partitioning methods infoMethods for storing different data on different nodeswith FederationShardingnoneSharding infohash partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
selectable replication factornoneSource-replica replication infostores two copies of each physical data partition on two separate nodes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducenono infocan define user-defined aggregate functions for map-reduce-style calculations
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infoIsolation support depends on the API usedACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyes infoin-memory storage is supported as wellyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationAccess rights for users, groups and roles infobased on Apache Sentry and KerberosnoFine grained access control via users, groups and roles
More information provided by the system vendor
AllegroGraphApache ImpalaRDF4J infoformerly known as SesameSingleStore infoformer name was MemSQL
News

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16 September 2024

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10 September 2024

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10 September 2024

Pruning Cycles in UMLS Metathesaurus: A Neuro Symbolic AI Approach
9 September 2024

Awesome AI Companies – Franz Inc.
17 July 2024

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More resources
AllegroGraphApache ImpalaRDF4J infoformerly known as SesameSingleStore infoformer name was MemSQL
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