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DBMS > GridDB vs. PostgreSQL vs. Titan

System Properties Comparison GridDB vs. PostgreSQL vs. Titan

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Editorial information provided by DB-Engines
NameGridDB  Xexclude from comparisonPostgreSQL  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.
DescriptionScalable in-memory time series database optimized for IoT and Big DataWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLTitan is a Graph DBMS optimized for distributed clusters.
Primary database modelTime Series DBMSRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Graph DBMS
Secondary database modelsKey-value store
Relational DBMS
Document store
Graph DBMS infowith Apache Age
Spatial DBMS
Vector DBMS infowith pgvector extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.94
Rank#120  Overall
#10  Time Series DBMS
Score666.37
Rank#4  Overall
#4  Relational DBMS
Websitegriddb.netwww.postgresql.orggithub.com/­thinkaurelius/­titan
Technical documentationdocs.griddb.netwww.postgresql.org/­docsgithub.com/­thinkaurelius/­titan/­wiki
DeveloperToshiba CorporationPostgreSQL Global Development Group infowww.postgresql.org/­developerAurelius, owned by DataStax
Initial release20131989 info1989: Postgres, 1996: PostgreSQL2012
Current release5.1, August 202216.4, August 2024
License infoCommercial or Open SourceOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen Source infoBSDOpen Source infoApache license, version 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
PostgreSQL Flex @ STACKIT offers managed PostgreSQL Instances with adjustable CPU, RAM, storage amount and speed and several extensions available, in enterprise grade to perfectly match all application requirements. All 100% GDPR-compliant.
Implementation languageC++CJava
Server operating systemsLinuxFreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Linux
OS X
Unix
Windows
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyes infonumerical, string, blob, geometry, boolean, timestampyesyes
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.noyes infospecific XML-type available, but no XML query functionality.
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL92, SQL-like TQL (Toshiba Query Language)yes infostandard with numerous extensionsno
APIs and other access methodsJDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languagesC
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Clojure
Java
Python
Server-side scripts infoStored proceduresnouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.yes
Triggersyesyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingpartitioning by range, list and (since PostgreSQL 11) by hashyes infovia pluggable storage backends
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replication infoother methods possible by using 3rd party extensionsyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsnoyes infovia Faunus, a graph analytics engine
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency within container, eventual consistency across containersImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesyes infoRelationships in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID at container levelACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcast
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlAccess rights for users can be defined per databasefine grained access rights according to SQL-standardUser authentification and security via Rexster Graph Server

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More resources
GridDBPostgreSQLTitan
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Recent citations in the news

Enterprise Edition with Improved Fault Tolerance and a New Affordable Monthly Plan for GridDB
15 October 2024, global.toshiba

Toshiba launches cloudy managed IoT database service running its own GridDB
8 April 2021, The Register

| TOSHIBA DIGITAL SOLUTIONS CORPORATION
30 October 2020, global.toshiba

provided by Google News

Aurora Limitless: AWS Introduces New PostgreSQL Database with Automated Horizontal Scaling
22 November 2024, InfoQ.com

High-Severity Flaw in PostgreSQL Allows Hackers to Exploit Environment Variables
15 November 2024, The Hacker News

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31 October 2024, AWS Blog

Varonis Warns of Bug Discovered in PostgreSQL PL/Perl
14 November 2024, Dark Reading

PostgreSQL tutorial: Get started with PostgreSQL 16
4 September 2024, InfoWorld

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DataStax Acquires Aurelius and its TitanDB Graph Database
31 May 2024, Data Center Knowledge

Performance Tuning Your Titan Graph Database on AWS
14 December 2015, AWS Blog

Titan Graph Database Integration with DynamoDB: World-class Performance, Availability, and Scale for New Workloads
20 August 2015, All Things Distributed

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