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DBMS > GridGain vs. Newts vs. Quasardb vs. Titan vs. Valentina Server

System Properties Comparison GridGain vs. Newts vs. Quasardb vs. Titan vs. Valentina Server

Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonNewts  Xexclude from comparisonQuasardb  Xexclude from comparisonTitan  Xexclude from comparisonValentina Server  Xexclude from comparison
Titan has been decommisioned after the takeover by Datastax. It will be removed from the DB-Engines ranking. A fork has been open-sourced as JanusGraph.
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteTime Series DBMS based on CassandraDistributed, high-performance timeseries databaseTitan is a Graph DBMS optimized for distributed clusters.Object-relational database and reports server
Primary database modelKey-value store
Relational DBMS
Time Series DBMSTime Series DBMSGraph DBMSRelational 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
#41  Time Series DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Score0.17
Rank#327  Overall
#145  Relational DBMS
Websitewww.gridgain.comopennms.github.io/­newtsquasar.aigithub.com/­thinkaurelius/­titanwww.valentina-db.net
Technical documentationwww.gridgain.com/­docs/­index.htmlgithub.com/­OpenNMS/­newts/­wikidoc.quasar.ai/­mastergithub.com/­thinkaurelius/­titan/­wikivalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperGridGain Systems, Inc.OpenNMS GroupquasardbAurelius, owned by DataStaxParadigma Software
Initial release20072014200920121999
Current releaseGridGain 8.5.13.14.1, January 20245.7.5
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoApache license, version 2.0commercial
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++, .NetJavaC++Java
Server operating systemsLinux
OS X
Solaris
Windows
Linux
OS X
Windows
BSD
Linux
OS X
Windows
Linux
OS X
Unix
Windows
Linux
OS X
Windows
Data schemeyesschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyes infointeger and binaryyesyes
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
Secondary indexesyesnoyes infowith tagsyesyes
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLnoSQL-like query languagenoyes
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
HTTP REST
Java API
HTTP APIJava API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
ODBC
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
Java.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Clojure
Java
Python
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)nonoyesyes
Triggersyes (cache interceptors and events)nonoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on CassandraSharding infoconsistent hashingyes infovia pluggable storage backends
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)selectable replication factor infobased on CassandraSource-replica replication with selectable replication factoryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)nowith Hadoop integrationyes infovia Faunus, a graph analytics engineno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynononoyes infoRelationships in graphyes
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 persistentyesyesyes infoby using LevelDByes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infoTransient modeyes
User concepts infoAccess controlSecurity Hooks for custom implementationsnoCryptographically strong user authentication and audit trailUser authentification and security via Rexster Graph Serverfine grained access rights according to SQL-standard

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More resources
GridGainNewtsQuasardbTitanValentina Server
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