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DBMS > AllegroGraph vs. GridGain vs. TimesTen

System Properties Comparison AllegroGraph vs. GridGain vs. TimesTen

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonGridGain  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSGridGain is an in-memory computing platform, built on Apache IgniteAn in-memory SQL relational database that delivers microsecond response and high throughput for OLTP applications. TimesTen can be deployed as a standalone database or as a cache to a backend Oracle database.
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Columnar
Key-value store
Object Oriented DBMS
Relational DBMS
Relational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.89
Rank#198  Overall
#34  Document stores
#18  Graph DBMS
#7  RDF stores
#9  Vector DBMS
Score1.44
Rank#152  Overall
#1  Columnar
#26  Key-value stores
#1  Object Oriented DBMS
#70  Relational DBMS
Score1.26
Rank#164  Overall
#76  Relational DBMS
Websiteallegrograph.comwww.gridgain.comwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmlwww.gridgain.com/­docs/­index.htmldocs.oracle.com/­en/­database/­other-databases/­timesten/­index.html
DeveloperFranz Inc.GridGain Systems, Inc.Oracle infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release200420071998
Current release8.0, December 2023GridGain 8.5.1Release 22.1
License infoCommercial or Open Sourcecommercial infoLimited community edition freecommercial, open sourcecommercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, C++, .Net, Python, REST, SQL
Server operating systemsLinux
OS X
Windows
Linux
OS X
Solaris
Windows
z/OS
IBM AIX Power PC 64-bit
Linux arm64
Linux x86-64
Solaris SPARC 64
Solaris SPARC/x86
Solaris x86-64
Data schemeyes infoRDF schemasyesyes
Typing infopredefined data types such as float or dateyesyesyes
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 possibleyesno
Secondary indexesyesyesyes
SQL infoSupport of SQLSPARQL is used as query languageANSI-99 for query and DML statements, subset of DDLyes
APIs and other access methodsRESTful HTTP API
SPARQL
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
ODBC
ODP.NET
Oracle Call Interface (OCI)
Pro*C/C++ programming interfaces
SQL and PL/SQL via JDBC
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
C#
C++
Java
PHP
Python
Ruby
Scala
C
C++
Java
Node.js
PL/SQL
Python
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispyes (compute grid and cache interceptors can be used instead)PL/SQL
Triggersyesyes (cache interceptors and events)no
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 (replicated cache)Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationRole-based access control
Security Hooks for custom implementations
fine grained access rights according to SQL-standard
More information provided by the system vendor
AllegroGraphGridGainTimesTen
News

Franz Inc. Named to the “Artificial Intelligence 100”
11 July 2024

100 Companies that matter most in Data
14 June 2024

How a Neuro-Symbolic AI Approach Can Improve Trust in AI Apps
23 May 2024

Can Neuro-Symbolic AI Solve AI’s Weaknesses?
17 April 2024

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

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More resources
AllegroGraphGridGainTimesTen
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Q&A: Can Neuro-Symbolic AI Solve AI’s Weaknesses?
8 April 2024, TDWI

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4 June 2024, Data Science Central

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16 November 2021, AiThority

Franz Releases the First Neuro-Symbolic AI Platform Merging Knowledge Graphs, Generative AI, and Vector Storage
11 December 2023, Datanami

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21 September 2021, Towards Data Science

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10 May 2024, Blocks & Files

GridGain Announced Version 9 of the GridGain Unified Real-Time Data Platform Accelerate AI-Driven Data Processing
9 July 2024, EnterpriseTalk

GridGain Advances Its Unified Real-Time Data Platform to Help Enterprises Accelerate AI-Driven Data Processing
10 July 2024, insideBIGDATA

GridGain Announces Call for Speakers for Virtual Apache Ignite Summit 2024
8 February 2024, Datanami

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