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DBMS > GBase vs. Titan

System Properties Comparison GBase vs. Titan

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Our visitors often compare GBase and Titan with Microsoft SQL Server, PostgreSQL and OceanBase.

Editorial information provided by DB-Engines
NameGBase  Xexclude from comparisonTitan  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.
DescriptionWidely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.Titan is a Graph DBMS optimized for distributed clusters.
Primary database modelRelational DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.32
Rank#156  Overall
#69  Relational DBMS
Websitewww.gbase.cngithub.com/­thinkaurelius/­titan
Technical documentationgithub.com/­thinkaurelius/­titan/­wiki
DeveloperGeneral Data Technology Co., Ltd.Aurelius, owned by DataStax
Initial release20042012
Current releaseGBase 8a, GBase 8s, GBase 8c
License infoCommercial or Open SourcecommercialOpen Source infoApache license, version 2.0
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, Java, PythonJava
Server operating systemsLinuxLinux
OS X
Unix
Windows
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyes
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.yes
Secondary indexesyesyes
SQL infoSupport of SQLStandard with numerous extensionsno
APIs and other access methodsADO.NET
C API
JDBC
ODBC
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languagesC#Clojure
Java
Python
Server-side scripts infoStored proceduresuser defined functionsyes
Triggersyesyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by range, list and hash) and vertical partitioningyes infovia pluggable storage backends
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infovia Faunus, a graph analytics engine
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesyes infoRelationships in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcast
User concepts infoAccess controlyesUser authentification and security via Rexster Graph Server

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More resources
GBaseTitan
DB-Engines blog posts

Graph DBMS increased their popularity by 500% within the last 2 years
3 March 2015, Paul Andlinger

Graph DBMSs are gaining in popularity faster than any other database category
21 January 2014, Matthias Gelbmann

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Recent citations in the news

Building a Graph Database on AWS Using Amazon DynamoDB and Titan
22 October 2015, AWS Blog

DSE Graph review: Graph database does double duty
14 November 2019, InfoWorld

Amazon DynamoDB Storage Backend for Titan: Distributed Graph Database
24 August 2015, AWS Blog

The continuing rise of graph databases
15 May 2017, ZDNet

Top Open Source Graph Databases
3 June 2024, MarkTechPost

provided by Google News



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