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DBMS > AllegroGraph vs. InfinityDB vs. InterSystems IRIS vs. SingleStore vs. Sphinx

System Properties Comparison AllegroGraph vs. InfinityDB vs. InterSystems IRIS vs. SingleStore vs. Sphinx

Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonInfinityDB  Xexclude from comparisonInterSystems IRIS  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSA Java embedded Key-Value Store which extends the Java Map interfaceA containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalabilityMySQL 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 typeOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Key-value storeDocument store
Key-value store
Object oriented DBMS
Relational DBMS
Relational DBMSSearch engine
Secondary database modelsSpatial DBMSDocument store
Spatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.06
Rank#187  Overall
#30  Document stores
#17  Graph DBMS
#7  RDF stores
#7  Vector DBMS
Score0.00
Rank#378  Overall
#57  Key-value stores
Score4.05
Rank#83  Overall
#14  Document stores
#10  Key-value stores
#1  Object oriented DBMS
#45  Relational DBMS
Score5.60
Rank#62  Overall
#35  Relational DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Websiteallegrograph.comboilerbay.comwww.intersystems.com/­products/­intersystems-iriswww.singlestore.comsphinxsearch.com
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmlboilerbay.com/­infinitydb/­manualdocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.clsdocs.singlestore.comsphinxsearch.com/­docs
DeveloperFranz Inc.Boiler Bay Inc.InterSystemsSingleStore Inc.Sphinx Technologies Inc.
Initial release20042002201820132001
Current release8.0, December 20234.02023.3, June 20238.5, January 20243.5.1, February 2023
License infoCommercial or Open Sourcecommercial infoLimited community edition freecommercialcommercialcommercial infofree developer edition availableOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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SingleStoreDB Cloud: The world's fastest, modern cloud database for both operational (OLTP) and analytical (OLAP) workloads. Available instantly with multi-cloud and hybrid-cloud capabilities
Implementation languageJavaC++, GoC++
Server operating systemsLinux
OS X
Windows
All OS with a Java VMAIX
Linux
macOS
Ubuntu
Windows
Linux info64 bit version requiredFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyes infoRDF schemasyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradedepending on used data modelyesyes
Typing infopredefined data types such as float or dateyesyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysyesyesno
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 possiblenoyesno
Secondary indexesyesno infomanual creation possible, using inversions based on multi-value capabilityyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLSPARQL is used as query languagenoyesyes infobut no triggers and foreign keysSQL-like query language (SphinxQL)
APIs and other access methodsRESTful HTTP API
SPARQL
Access via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
JDBC
ODBC
RESTful HTTP API
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
Proprietary protocol
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
Java.Net
C++
Java
JavaScript (Node.js)
Python
Bash
C
C#
Java
JavaScript (Node.js)
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispnoyesyesno
Triggersyesnoyesnono
Partitioning methods infoMethods for storing different data on different nodeswith FederationnoneShardingSharding infohash partitioningSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
noneSource-replica replicationSource-replica replication infostores two copies of each physical data partition on two separate nodesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono infocan define user-defined aggregate functions for map-reduce-style calculationsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency infoREAD-COMMITTED or SERIALIZEDImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono infomanual creation possible, using inversions based on multi-value capabilityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoOptimistic locking for transactions; no isolation for bulk loadsACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyesyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.yes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationnoyesFine grained access control via users, groups and rolesno
More information provided by the system vendor
AllegroGraphInfinityDBInterSystems IRISSingleStore infoformer name was MemSQLSphinx
Specific characteristicsKnowledge Graph Platform Leader FedShard - Designed for Entity-Event Knowledge Graph...
» more
InterSystems IRIS is a complete cloud-first data platform which includes a multi-model...
» more
SingleStore offers a fully-managed , distributed, highly-scalable SQL database designed...
» more
Competitive advantagesAllegroGraph is uniquely suited to support adhoc queries through SPARQL, Prolog and...
» more
SingleStore’s competitive advantages include: Easy and Simplified Architecture with...
» more
Typical application scenariosDriving Fast Analytics: SingleStore delivers the fastest and most scalable reporting...
» more
Key customersIEX Cloud : Improves Financial Data Distribution Speed 15x with Singlestore DB Comcast,...
» more
Market metricsCustomers in various industries worldwide including US and International Industry...
» more
Licensing and pricing modelsF ree Tier and Enterprise Edition
» more
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