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DBMS > OrigoDB vs. Titan vs. Trafodion vs. Vitess

System Properties Comparison OrigoDB vs. Titan vs. Trafodion vs. Vitess

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Editorial information provided by DB-Engines
NameOrigoDB  Xexclude from comparisonTitan  Xexclude from comparisonTrafodion  Xexclude from comparisonVitess  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.Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionA fully ACID in-memory object graph databaseTitan is a Graph DBMS optimized for distributed clusters.Transactional SQL-on-Hadoop DBMSScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelDocument store
Object oriented DBMS
Graph DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#385  Overall
#54  Document stores
#21  Object oriented DBMS
Score0.86
Rank#202  Overall
#95  Relational DBMS
Websiteorigodb.comgithub.com/­thinkaurelius/­titantrafodion.apache.orgvitess.io
Technical documentationorigodb.com/­docsgithub.com/­thinkaurelius/­titan/­wikitrafodion.apache.org/­documentation.htmlvitess.io/­docs
DeveloperRobert Friberg et alAurelius, owned by DataStaxApache Software Foundation, originally developed by HPThe Linux Foundation, PlanetScale
Initial release2009 infounder the name LiveDB201220142013
Current release2.3.0, February 201915.0.2, December 2022
License infoCommercial or Open SourceOpen SourceOpen Source infoApache license, version 2.0Open Source infoApache 2.0Open Source infoApache Version 2.0, commercial licenses available
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 languageC#JavaC++, JavaGo
Server operating systemsLinux
Windows
Linux
OS X
Unix
Windows
LinuxDocker
Linux
macOS
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateUser defined using .NET types and collectionsyesyesyes
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.no infocan be achieved using .NETno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnonoyesyes infowith proprietary extensions
APIs and other access methods.NET Client API
HTTP API
LINQ
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
ADO.NET
JDBC
ODBC
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languages.NetClojure
Java
Python
All languages supporting JDBC/ODBC/ADO.NetAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyesyesJava Stored Proceduresyes infoproprietary syntax
Triggersyes infoDomain Eventsyesnoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infoclient side managed; servers are not synchronizedyes infovia pluggable storage backendsShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesyes, via HBaseMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infovia Faunus, a graph analytics engineyes infovia user defined functions and HBaseno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritydepending on modelyes infoRelationships in graphyesyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyes infoWrite ahead logyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlRole based authorizationUser authentification and security via Rexster Graph Serverfine grained access rights according to SQL-standardUsers with fine-grained authorization concept infono user groups or roles

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More resources
OrigoDBTitanTrafodionVitess
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Recent citations in the news

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

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

Beyond Titan: The Evolution of DataStax’s New Graph Database
21 June 2016, Datanami

Database Deep Dives: JanusGraph
8 August 2019, IBM

TigerGraph, a graph database born to roar
19 September 2017, ZDNet

provided by Google News

Deepthi Sigireddi on Distributed Database Architecture in the Cloud Native Era
20 May 2024, InfoQ.com

They scaled YouTube — now they’ll shard everyone with PlanetScale
13 December 2018, TechCrunch

PlanetScale Unveils Distributed MySQL Database Service Based on Vitess
18 May 2021, Datanami

PlanetScale offers undo button to reverse schema migration without losing data
24 March 2022, The Register

3 Cloud-Native Database Tools From CNCF
26 July 2022, Cloud Native Now

provided by Google News



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