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DBMS > Informix vs. OrigoDB vs. ReductStore vs. Titan

System Properties Comparison Informix vs. OrigoDB vs. ReductStore vs. Titan

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Editorial information provided by DB-Engines
NameInformix  Xexclude from comparisonOrigoDB  Xexclude from comparisonReductStore  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.
DescriptionA secure embeddable database from IBM, positioned besides IBM Db2 as a relatively low-cost product optimized for OLTP and Internet of Things dataA fully ACID in-memory object graph databaseDesigned to manage unstructured time-series data efficiently, providing unique features such as storing time-stamped blobs with labels, customizable data retention policies, and a straightforward FIFO quota system.Titan is a Graph DBMS optimized for distributed clusters.
Primary database modelRelational DBMS infoSince Version 12.10 support for JSON/BSON datatypes compatible with MongoDBDocument store
Object oriented DBMS
Time Series DBMSGraph DBMS
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS infowith Informix TimeSeries Extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score16.32
Rank#35  Overall
#21  Relational DBMS
Score0.00
Rank#385  Overall
#54  Document stores
#21  Object oriented DBMS
Score0.00
Rank#385  Overall
#40  Time Series DBMS
Websitewww.ibm.com/­products/­informixorigodb.comgithub.com/­reductstore
www.reduct.store
github.com/­thinkaurelius/­titan
Technical documentationinformix.hcldoc.com
www.ibm.com/­support/­knowledgecenter/­SSGU8G/­welcomeIfxServers.html
origodb.com/­docswww.reduct.store/­docsgithub.com/­thinkaurelius/­titan/­wiki
DeveloperIBM, HCL Technologies infoEffective May 1st, 2017, HCL took on development, technical support, and product management teams, and works jointly with IBM on product strategy, marketing, and sales.Robert Friberg et alReductStore LLCAurelius, owned by DataStax
Initial release19842009 infounder the name LiveDB20232012
Current release14.10.FC5, November 20201.9, March 2024
License infoCommercial or Open Sourcecommercial infofree developer edition availableOpen SourceOpen Source infoBusiness Source License 1.1Open Source infoApache license, version 2.0
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, C++ and JavaC#C++, RustJava
Server operating systemsAIX
HP-UX
Linux
macOS
Solaris
Windows
Linux
Windows
Docker
Linux
macOS
Windows
Linux
OS X
Unix
Windows
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyes infoSince Version 12.10 support for JSON/BSON datatypesUser defined using .NET types and collectionsyes
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 .NET
Secondary indexesyesyesyes
SQL infoSupport of SQLyesnono
APIs and other access methodsJDBC
JSON API infoMongoDB compatible
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
.NET Client API
HTTP API
LINQ
HTTP APIJava API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languages.Net
C
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.NetC++
JavaScript (Node.js)
Python
Rust
Clojure
Java
Python
Server-side scripts infoStored proceduresyesyesyes
Triggersyesyes infoDomain Eventsyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning infoclient side managed; servers are not synchronizedyes infovia pluggable storage backends
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infovia Faunus, a graph analytics engine
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesdepending on modelyes infoRelationships in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infoWrite ahead logyes 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.yesyes
User concepts infoAccess controlUsers with fine-grained authentication, authorization, and auditing controlsRole based authorizationUser authentification and security via Rexster Graph Server

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More resources
InformixOrigoDBReductStoreTitan
DB-Engines blog posts

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Recent citations in the news

IBM Informix: A key part of IBM’s hybrid cloud and AI strategy
11 January 2024, ibm.com

Unlock the value of your Informix data for advanced analytics and AI with watsonx.data
24 April 2024, ibm.com

IBM Informix review: What you need to know about the software
12 December 2022, TechRepublic

IBM Informix Database in the Cloud
1 May 2009, AWS Blog

Informix, Sybase buy a future
1 December 1999, Forbes

provided by Google News

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

DataStax acquires Aurelius, the startup behind the Titan graph database
3 February 2015, VentureBeat

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

provided by Google News



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