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DBMS > AllegroGraph vs. Datomic vs. GridGain vs. Teradata

System Properties Comparison AllegroGraph vs. Datomic vs. GridGain vs. Teradata

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonDatomic  Xexclude from comparisonGridGain  Xexclude from comparisonTeradata  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityGridGain is an in-memory computing platform, built on Apache IgniteA hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Relational DBMSKey-value store
Relational DBMS
Relational DBMS
Secondary database modelsSpatial DBMSDocument store
Graph DBMS
Spatial DBMS
Time Series 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
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score45.33
Rank#21  Overall
#15  Relational DBMS
Websiteallegrograph.comwww.datomic.comwww.gridgain.comwww.teradata.com
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmldocs.datomic.comwww.gridgain.com/­docs/­index.htmldocs.teradata.com
DeveloperFranz Inc.CognitectGridGain Systems, Inc.Teradata
Initial release2004201220071984
Current release8.0, December 20231.0.6735, June 2023GridGain 8.5.1Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open Sourcecommercial infoLimited community edition freecommercial infolimited edition freecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureJava, C++, .Net
Server operating systemsLinux
OS X
Windows
All OS with a Java VMLinux
OS X
Solaris
Windows
hosted
Linux
Data schemeyes infoRDF schemasyesyesyes
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 possiblenoyesyes
Secondary indexesyesyesyesyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLSPARQL is used as query languagenoANSI-99 for query and DML statements, subset of DDLyes infoSQL 2016 + extensions
APIs and other access methodsRESTful HTTP API
SPARQL
RESTful HTTP APIHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
Clojure
Java
C#
C++
Java
PHP
Python
Ruby
Scala
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispyes infoTransaction Functionsyes (compute grid and cache interceptors can be used instead)yes infoUDFs, stored procedures, table functions in parallel
TriggersyesBy using transaction functionsyes (cache interceptors and events)yes
Partitioning methods infoMethods for storing different data on different nodeswith Federationnone infoBut extensive use of caching in the application peersShardingSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
none infoBut extensive use of caching in the application peersyes (replicated cache)Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes inforecommended only for testing and developmentyesyes
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationnoSecurity Hooks for custom implementationsfine grained access rights according to SQL-standard
More information provided by the system vendor
AllegroGraphDatomicGridGainTeradata
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
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