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DBMS > AllegroGraph vs. Teradata Aster vs. TigerGraph vs. TinkerGraph

System Properties Comparison AllegroGraph vs. Teradata Aster vs. TigerGraph vs. TinkerGraph

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonTeradata Aster  Xexclude from comparisonTigerGraph  Xexclude from comparisonTinkerGraph  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSPlatform for big data analytics on multistructured data sources and typesA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-timeA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 API
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Relational DBMSGraph DBMSGraph DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.34
Rank#150  Overall
#25  Document stores
#13  Graph DBMS
#7  RDF stores
Score1.88
Rank#123  Overall
#9  Graph DBMS
Score0.18
Rank#292  Overall
#25  Graph DBMS
Websiteallegrograph.comwww.tigergraph.comtinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlin
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmldocs.tigergraph.com
DeveloperFranz Inc.Teradata
Initial release2004200520172009
Current release7.0.0, April 2020
License infoCommercial or Open Sourcecommercial infoLimited community edition freecommercialcommercialOpen Source infoApache 2.0
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++Java
Server operating systemsLinux
OS X
Windows
LinuxLinux
Data schemeyes infoRDF schemasFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Storeyesschema-free
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 possibleyes infoin Aster File Storenono
Secondary indexesyesyesno
SQL infoSupport of SQLSPARQL is used as query languageyesSQL-like query language (GSQL)no
APIs and other access methodsRESTful HTTP API
SPARQL
ADO.NET
JDBC
ODBC
OLE DB
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
TinkerPop 3
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
C
C#
C++
Java
Python
R
C++
Java
Groovy
Java
Server-side scripts infoStored proceduresyes infoJavaScript or Common LispR packagesyesno
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodeswith FederationShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoSQL Map-Reduce Frameworkyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency or Eventual Consistency depending on configurationnone
Foreign keys infoReferential integritynonoyes infoRelationships in graphsyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesno
Durability infoSupport for making data persistentyesyesyesoptional
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononoyes
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationfine grained access rights according to SQL-standardRole-based access controlno
More information provided by the system vendor
AllegroGraphTeradata AsterTigerGraphTinkerGraph
Specific characteristicsKnowledge Graph Platform Leader FedShard - Designed for Entity-Event Knowledge Graph...
» more
TigerGraph is a native graph database, with massively parallel processing and fully...
» more
Competitive advantagesAllegroGraph is uniquely suited to support adhoc queries through SPARQL, Prolog and...
» more
TigerGraph is the fastest and most scalable graph platform, powered by a native parallel...
» more
Typical application scenariosAnti Money Laundering Real-Time Fraud Detection Customer 360 Real-Time Personalized...
» more
Key customersFour out of the top five global banks use TigerGraph for real-time fraud detection....
» more
Market metricsANALYST RESEARCH Nov 2020: TigerGraph Named A Leader For Graph Data Platforms - TigerGraph...
» more
Licensing and pricing modelsTry TigerGraph for Free in the Cloud or On Prem https://www.tigergraph.com/get-tigergraph/...
» more
News

Gartner Case Study: Entity-Event Knowledge Graph for Powering AI Solutions (Montefiore)
15 March 2021

Understanding What Matters With Text Analytics and NLP
9 March 2021

KMWorld 100 Companies that Matter Most – Franz Inc.
9 March 2021

Maximizing Your Data Fabric’s ROI via Entity Data Modeling
24 February 2021

Data-Centric Architecture Forum – DCAF 2021
1 February 2021

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
AllegroGraphTeradata AsterTigerGraphTinkerGraph
Recent citations in the news

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Global Graph Analytics Market Growth Factor with Key Drivers Analysis till 2026 | Tom Sawyer Software, Graphistry, Lynx Analytics, Teradata, TigerGraph, Oracle, IBM, Microsoft and others – KSU | The Sentinel Newspaper
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Graph Analytics Market to Eyewitness Massive Growth by 2026 | Microsoft, IBM, Oracle
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