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DBMS > GridGain vs. NSDb vs. Stardog vs. TimesTen

System Properties Comparison GridGain vs. NSDb vs. Stardog vs. TimesTen

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Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonNSDb  Xexclude from comparisonStardog  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualizationAn 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 modelColumnar
Key-value store
Object oriented DBMS
Relational DBMS
Time Series DBMSGraph DBMS
RDF store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.48
Rank#150  Overall
#1  Columnar
#26  Key-value stores
#2  Object oriented DBMS
#69  Relational DBMS
Score0.00
Rank#385  Overall
#40  Time Series DBMS
Score1.93
Rank#121  Overall
#10  Graph DBMS
#6  RDF stores
Score1.26
Rank#164  Overall
#75  Relational DBMS
Websitewww.gridgain.comnsdb.iowww.stardog.comwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationwww.gridgain.com/­docs/­index.htmlnsdb.io/­Architecturedocs.stardog.comdocs.oracle.com/­en/­database/­other-databases/­timesten/­index.html
DeveloperGridGain Systems, Inc.Stardog-UnionOracle infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release2007201720101998
Current releaseGridGain 8.5.17.3.0, May 2020Release 22.1
License infoCommercial or Open Sourcecommercial, open sourceOpen Source infoApache Version 2.0commercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/studentscommercial
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 languageJava, C++, .Net, Python, REST, SQLJava, ScalaJava
Server operating systemsLinux
OS X
Solaris
Windows
z/OS
Linux
macOS
Linux
macOS
Windows
IBM AIX Power PC 64-bit
Linux arm64
Linux x86-64
Solaris SPARC 64
Solaris SPARC/x86
Solaris x86-64
Data schemeyesschema-free and OWL/RDFS-schema supportyes
Typing infopredefined data types such as float or dateyesyes: int, bigint, decimal, stringyesyes
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.yesnono infoImport/export of XML data possibleno
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 DDLSQL-like query languageYes, compatible with all major SQL variants through dedicated BI/SQL Serveryes
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
gRPC
HTTP REST
WebSocket
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
ODBC
ODP.NET
Oracle Call Interface (OCI)
Pro*C/C++ programming interfaces
SQL and PL/SQL via JDBC
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
Java
Scala
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
C
C++
Java
Node.js
PL/SQL
Python
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)nouser defined functions and aggregates, HTTP Server extensions in JavaPL/SQL
Triggersyes (cache interceptors and events)yes infovia event handlersno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)Multi-source replication in HA-ClusterMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)nonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency in HA-ClusterImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynonoyes inforelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesUsing Apache Luceneyesyes 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.yesyesyes
User concepts infoAccess controlRole-based access control
Security Hooks for custom implementations
Access rights for users and rolesfine grained access rights according to SQL-standard

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More resources
GridGainNSDbStardogTimesTen
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