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DBMS > GridGain vs. Sadas Engine vs. Teradata Aster vs. TinkerGraph vs. Virtuoso

System Properties Comparison GridGain vs. Sadas Engine vs. Teradata Aster vs. TinkerGraph vs. Virtuoso

Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonSadas Engine  Xexclude from comparisonTeradata Aster  Xexclude from comparisonTinkerGraph  Xexclude from comparisonVirtuoso  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environmentsPlatform for big data analytics on multistructured data sources and typesA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 APIVirtuoso is a multi-model hybrid-RDBMS that supports management of data represented as relational tables and/or property graphs
Primary database modelKey-value store
Relational DBMS
Relational DBMSRelational DBMSGraph DBMSDocument store
Graph DBMS
Native XML DBMS
Relational DBMS
RDF store
Search engine
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score0.00
Rank#383  Overall
#158  Relational DBMS
Score0.08
Rank#348  Overall
#35  Graph DBMS
Score4.26
Rank#78  Overall
#13  Document stores
#4  Graph DBMS
#2  Native XML DBMS
#42  Relational DBMS
#2  RDF stores
#9  Search engines
Websitewww.gridgain.comwww.sadasengine.comtinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlinvirtuoso.openlinksw.com
Technical documentationwww.gridgain.com/­docs/­index.htmlwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentationdocs.openlinksw.com/­virtuoso
DeveloperGridGain Systems, Inc.SADAS s.r.l.TeradataOpenLink Software
Initial release20072006200520091998
Current releaseGridGain 8.5.18.07.2.11, September 2023
License infoCommercial or Open Sourcecommercialcommercial infofree trial version availablecommercialOpen Source infoApache 2.0Open Source infoGPLv2, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, C++, .NetC++JavaC
Server operating systemsLinux
OS X
Solaris
Windows
AIX
Linux
Windows
LinuxAIX
FreeBSD
HP-UX
Linux
OS X
Solaris
Windows
Data schemeyesyesFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Storeschema-freeyes infoSQL - Standard relational schema
RDF - Quad (S, P, O, G) or Triple (S, P, O)
XML - DTD, XML Schema
DAV - freeform filesystem objects, plus User Defined Types a/k/a Dynamic Extension Type
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.yesnoyes infoin Aster File Storenoyes
Secondary indexesyesyesyesnoyes
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLyesyesnoyes infoSQL-92, SQL-200x, SQL-3, SQLX
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
ODBC
Proprietary protocol
ADO.NET
JDBC
ODBC
OLE DB
TinkerPop 3ADO.NET
GeoSPARQL
HTTP API
JDBC
Jena RDF API
ODBC
OLE DB
RDF4J API
RESTful HTTP API
Sesame REST HTTP Protocol
SOAP webservices
SPARQL 1.1
WebDAV
XPath
XQuery
XSLT
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
.Net
C
C#
C++
Groovy
Java
PHP
Python
C
C#
C++
Java
Python
R
Groovy
Java
.Net
C
C#
C++
Java
JavaScript
Perl
PHP
Python
Ruby
Visual Basic
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)noR packagesnoyes infoVirtuoso PL
Triggersyes (cache interceptors and events)nononoyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningShardingnoneyes
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)noneyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.noneChain, star, and bi-directional replication
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)noyes infoSQL Map-Reduce Frameworknoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationnoneImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes infoRelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesnoyes
Durability infoSupport for making data persistentyesyesyesoptionalyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infomanaged by 'Learn by Usage'noyesyes
User concepts infoAccess controlSecurity Hooks for custom implementationsAccess rights for users, groups and roles according to SQL-standardfine grained access rights according to SQL-standardnoFine-grained Attribute-Based Access Control (ABAC) in addition to typical coarse-grained Role-Based Access Control (RBAC) according to SQL-standard. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)
More information provided by the system vendor
GridGainSadas EngineTeradata AsterTinkerGraphVirtuoso
Specific characteristicsVirtuoso is a modern multi-model RDBMS for managing data represented as tabular relations...
» more
Competitive advantagesPerformance & Scale — as exemplified by DBpedia and the LOD Cloud it spawned, i.e.,...
» more
Typical application scenariosUsed for — Analytics/BI Conceptual Data Virtualization Enterprise Knowledge Graphs...
» more
Key customersBroad use across enterprises and governments including — European Union (EU) US Government...
» more
Market metricsLargest installed-base ​of Multi-Model RDBMS for AI-friendly Knowledge Graphs Platform...
» more
Licensing and pricing modelsAvailable in both Commercial Enterprise and Open Source (GPL v2) Editions Feature...
» more

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More resources
GridGainSadas EngineTeradata AsterTinkerGraphVirtuoso
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