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DBMS > AllegroGraph vs. OrientDB vs. Sphinx vs. Trafodion vs. Vertica

System Properties Comparison AllegroGraph vs. OrientDB vs. Sphinx vs. Trafodion vs. Vertica

Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonOrientDB  Xexclude from comparisonSphinx  Xexclude from comparisonTrafodion  Xexclude from comparisonVertica infoVertica Analytics Platform  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSMulti-model DBMS (Document, Graph, Key/Value)Open source search engine for searching in data from different sources, e.g. relational databasesTransactional SQL-on-Hadoop DBMSColumnar relational DBMS designed to handle modern analytic workloads, enabling fast query performance
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Document store
Graph DBMS
Key-value store
Search engineRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.24
Rank#156  Overall
#27  Document stores
#14  Graph DBMS
#7  RDF stores
Score4.56
Rank#80  Overall
#13  Document stores
#5  Graph DBMS
#12  Key-value stores
Score8.03
Rank#55  Overall
#6  Search engines
Score0.45
Rank#245  Overall
#115  Relational DBMS
Score19.90
Rank#35  Overall
#21  Relational DBMS
Websiteallegrograph.comorientdb.orgsphinxsearch.comtrafodion.apache.orgwww.vertica.com
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmlwww.orientdb.com/­docs/­last/­index.htmlsphinxsearch.com/­docstrafodion.apache.orgwww.vertica.com/­docs/­10.0.x/­HTML/­Content/­Home.htm
DeveloperFranz Inc.OrientDB LTD; CallidusCloud; SAPSphinx Technologies Inc.Apache Software Foundation, originally developed by HPVertica / Micro Focus infoprior to that Hewlett Packard
Initial release20042010200120142005
Current release7.2, October 20213.1.9, February 20213.4.1, July 20212.3.0, February 2019Vertica 10.0 Software, May 2020
Vertica for SQL on Hadoop 10.0 Software, May 2020
License infoCommercial or Open Sourcecommercial infoLimited community edition freeOpen Source infoApache version 2Open Source infoGPL version 2, commercial licence availableOpen Source infoApache 2.0commercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud servicenonononono infoAvailable on all major clouds - Amazon AWS, Microsoft Azure and Google Cloud Platform
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++C++, Java
Server operating systemsLinux
OS X
Windows
All OS with a Java JDK (>= JDK 6)FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
LinuxLinux
Data schemeyes infoRDF schemasschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")yesyesyes infoUnstructured data can be stored in specific Flex-Tables
Typing infopredefined data types such as float or dateyesyesnoyesyes
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 possiblenonoyes
Secondary indexesyesyesyes infofull-text index on all search fieldsyesno infoThe concept of 'projections' can be used instead of indexes.
SQL infoSupport of SQLSPARQL is used as query languageSQL-like query language, no joinsSQL-like query language (SphinxQL)yesyes infonearly full SQL99 without support for indexes and triggers
APIs and other access methodsRESTful HTTP API
SPARQL
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
Proprietary protocolADO.NET
JDBC
ODBC
ADO.NET
JDBC
Kafka
ODBC
Proprietary protocol
RESTful HTTP API
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
All languages supporting JDBC/ODBC/ADO.NetC++
Java
Perl
Python
R
Server-side scripts infoStored proceduresyes infoJavaScript or Common LispJava, JavascriptnoJava Stored Proceduresyes
TriggersyesHooksnonono
Partitioning methods infoMethods for storing different data on different nodeswith FederationShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedShardingSharding infoSegmentation, Projection Segmentation, Hash Segmentation
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replicationnoneyes, via HBaseMulti-source replication infoCluster level and Object level replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infocould be achieved with distributed queriesnoyes infovia user defined functions and HBaseyes infowith Vertica Connector for Hadoop
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes inforelationship in graphsnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Sphinx index.yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationAccess rights for users and roles; record level security configurablenofine grained access rights according to SQL-standardfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
More information provided by the system vendor
AllegroGraphOrientDBSphinxTrafodionVertica infoVertica Analytics Platform
Specific characteristicsKnowledge Graph Platform Leader FedShard - Designed for Entity-Event Knowledge Graph...
» more
Columnar storage, MPP, Hybrid storage model, Aggressive data compression, High availability,...
» more
Competitive advantagesAllegroGraph is uniquely suited to support adhoc queries through SPARQL, Prolog and...
» more
Performance at exabyte scale, Deploy anywhere, Open source innovation, Analysis in...
» more
Typical application scenariosCommunication and network analytics, Embedded analytics, Fraud monitoring and Risk...
» more
Key customersAbiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
» more
Licensing and pricing modelsCost-based models and subscription-based models are available
» more
News

Authentic Meets Artificial – The New Intelligence – DM Radio Broadcast
13 January 2022

Embedding Gruff In a Web Page
10 January 2022

AllegroGraph Named 2022 “Trend Setter”
3 January 2022

Predictions: Quantum AI, Graph Neural Networks, and Personal Data Pods
16 December 2021

Franz Inc. Announces AllegroGraph Has No Log4j Security Exposure
14 December 2021

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
AllegroGraphOrientDBSphinxTrafodionVertica infoVertica Analytics Platform
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