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DBMS > GridGain vs. Rockset vs. Stardog vs. Teradata Aster vs. Tkrzw

System Properties Comparison GridGain vs. Rockset vs. Stardog vs. Teradata Aster vs. Tkrzw

Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonRockset  Xexclude from comparisonStardog  Xexclude from comparisonTeradata Aster  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  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 IgniteA scalable, reliable search and analytics service in the cloud, built on RocksDBEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualizationPlatform for big data analytics on multistructured data sources and typesA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelKey-value store
Relational DBMS
Document storeGraph DBMS
RDF store
Relational DBMSKey-value store
Secondary database modelsRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.53
Rank#155  Overall
#26  Key-value stores
#73  Relational DBMS
Score0.84
Rank#209  Overall
#35  Document stores
Score2.05
Rank#129  Overall
#11  Graph DBMS
#6  RDF stores
Score0.09
Rank#354  Overall
#51  Key-value stores
Websitewww.gridgain.comrockset.comwww.stardog.comdbmx.net/­tkrzw
Technical documentationwww.gridgain.com/­docs/­index.htmldocs.rockset.comdocs.stardog.com
DeveloperGridGain Systems, Inc.RocksetStardog-UnionTeradataMikio Hirabayashi
Initial release20072019201020052020
Current releaseGridGain 8.5.17.3.0, May 20200.9.3, August 2020
License infoCommercial or Open Sourcecommercialcommercialcommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/studentscommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, C++, .NetC++JavaC++
Server operating systemsLinux
OS X
Solaris
Windows
hostedLinux
macOS
Windows
LinuxLinux
macOS
Data schemeyesschema-freeschema-free and OWL/RDFS-schema supportFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Storeschema-free
Typing infopredefined data types such as float or dateyesdynamic typingyesyesno
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.yesno infoingestion from XML files supportedno infoImport/export of XML data possibleyes infoin Aster File Storeno
Secondary indexesyesall fields are automatically indexedyes infosupports real-time indexing in full-text and geospatialyes
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLRead-only SQL queries, including JOINsYes, compatible with all major SQL variants through dedicated BI/SQL Serveryesno
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
HTTP RESTGraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
ADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
Go
Java
JavaScript (Node.js)
Python
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
C
C#
C++
Java
Python
R
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)nouser defined functions and aggregates, HTTP Server extensions in JavaR packagesno
Triggersyes (cache interceptors and events)noyes infovia event handlersnono
Partitioning methods infoMethods for storing different data on different nodesShardingAutomatic shardingnoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)yesMulti-source replication in HA-Clusteryes 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 methodsyes (compute grid and hadoop accelerator)nonoyes infoSQL Map-Reduce Frameworkno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency in HA-ClusterImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynonoyes inforelationships in graphsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyes infousing specific database classes
User concepts infoAccess controlSecurity Hooks for custom implementationsAccess rights for users and organizations can be defined via Rockset consoleAccess rights for users and rolesfine grained access rights according to SQL-standardno

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More resources
GridGainRocksetStardogTeradata AsterTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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