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DBMS > AllegroGraph vs. Hypertable vs. Realm vs. Sphinx

System Properties Comparison AllegroGraph vs. Hypertable vs. Realm vs. Sphinx

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonHypertable  Xexclude from comparisonRealm  Xexclude from comparisonSphinx  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSAn open source BigTable implementation based on distributed file systems such as HadoopA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataOpen 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
Wide column storeDocument storeSearch engine
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.16
Rank#179  Overall
#30  Document stores
#17  Graph DBMS
#7  RDF stores
#7  Vector DBMS
Score7.71
Rank#52  Overall
#9  Document stores
Score6.03
Rank#60  Overall
#6  Search engines
Websiteallegrograph.comrealm.iosphinxsearch.com
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmlrealm.io/­docssphinxsearch.com/­docs
DeveloperFranz Inc.Hypertable Inc.Realm, acquired by MongoDB in May 2019Sphinx Technologies Inc.
Initial release2004200920142001
Current release8.0, December 20230.9.8.11, March 20163.5.1, February 2023
License infoCommercial or Open Sourcecommercial infoLimited community edition freeOpen Source infoGNU version 3. Commercial license availableOpen SourceOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++
Server operating systemsLinux
OS X
Windows
Linux
OS X
Windows infoan inofficial Windows port is available
Android
Backend: server-less
iOS
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyes infoRDF schemasschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoyesno
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 possibleno
Secondary indexesyesrestricted infoonly exact value or prefix value scansyesyes infofull-text index on all search fields
SQL infoSupport of SQLSPARQL is used as query languagenonoSQL-like query language (SphinxQL)
APIs and other access methodsRESTful HTTP API
SPARQL
C++ API
Thrift
Proprietary protocol
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
C++
Java
Perl
PHP
Python
Ruby
.Net
Java infowith Android only
Objective-C
React Native
Swift
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispnono inforuns within the applications so server-side scripts are unnecessaryno
Triggersyesnoyes infoChange Listenersno
Partitioning methods infoMethods for storing different data on different nodeswith FederationShardingnoneSharding 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
selectable replication factor on file system levelnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesyes 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.noyes infoIn-Memory realm
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationnoyesno
More information provided by the system vendor
AllegroGraphHypertableRealmSphinx
Specific characteristicsKnowledge Graph Platform Leader FedShard - Designed for Entity-Event Knowledge Graph...
» more
Competitive advantagesAllegroGraph is uniquely suited to support adhoc queries through SPARQL, Prolog and...
» more
News

100 Companies That Matter in KM – Franz Inc.
3 April 2024

Exploring AllegroGraph v8 – Unleashing the Power of Neuro-Symbolic AI (Recorded Webinar)
9 February 2024

What is Neuro-Symbolic AI?
23 January 2024

Allegro CL v11 – Now Available! – The Neuro-Symbolic AI Programming Platform
8 January 2024

The New Stack Features AllegroGraph v8
2 January 2024

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