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DBMS > Netezza vs. OpenQM vs. SingleStore vs. Titan

System Properties Comparison Netezza vs. OpenQM vs. SingleStore vs. Titan

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Editorial information provided by DB-Engines
NameNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparisonSingleStore infoformer name was MemSQL  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.
DescriptionData warehouse and analytics appliance part of IBM PureSystemsQpenQM is a high-performance, self-tuning, multi-value DBMSMySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table typeTitan is a Graph DBMS optimized for distributed clusters.
Primary database modelRelational DBMSMultivalue DBMSRelational DBMSGraph DBMS
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.56
Rank#48  Overall
#31  Relational DBMS
Score0.28
Rank#291  Overall
#10  Multivalue DBMS
Score4.02
Rank#74  Overall
#39  Relational DBMS
Websitewww.ibm.com/­products/­netezzawww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qmwww.singlestore.comgithub.com/­thinkaurelius/­titan
Technical documentationdocs.singlestore.comgithub.com/­thinkaurelius/­titan/­wiki
DeveloperIBMRocket Software, originally Martin PhillipsSingleStore Inc.Aurelius, owned by DataStax
Initial release2000199320132012
Current release3.4-128.5, January 2024
License infoCommercial or Open SourcecommercialOpen Source infoGPLv2, extended commercial license availablecommercial infofree developer edition availableOpen 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++, GoJava
Server operating systemsLinux infoincluded in applianceAIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
Linux info64 bit version requiredLinux
OS X
Unix
Windows
Data schemeyesyes infowith some exceptionsyesyes
Typing infopredefined data types such as float or dateyesyesyes
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.yesno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyesnoyes infobut no triggers and foreign keysno
APIs and other access methodsJDBC
ODBC
OLE DB
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languagesC
C++
Fortran
Java
Lua
Perl
Python
R
.Net
Basic
C
Java
Objective C
PHP
Python
Bash
C
C#
Java
JavaScript (Node.js)
Python
Clojure
Java
Python
Server-side scripts infoStored proceduresyesyesyesyes
Triggersnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingyesSharding infohash partitioningyes infovia pluggable storage backends
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesSource-replica replication infostores two copies of each physical data partition on two separate nodesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono infocan define user-defined aggregate functions for map-reduce-style calculationsyes infovia Faunus, a graph analytics engine
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynononoyes infoRelationships in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.yes 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.yes
User concepts infoAccess controlUsers with fine-grained authorization conceptAccess rights can be defined down to the item levelFine grained access control via users, groups and rolesUser authentification and security via Rexster Graph Server

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More resources
Netezza infoAlso called PureData System for Analytics by IBMOpenQM infoalso called QMSingleStore infoformer name was MemSQLTitan
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Graph DBMS increased their popularity by 500% within the last 2 years
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21 January 2014, Matthias Gelbmann

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Recent citations in the news

Unify and share data across Netezza and watsonx.data for new generative AI applications
21 June 2024, IBM

Price Chopper Chooses IBM Netezza to Analyze Its Business Data
8 September 2024, Supermarket News

How to migrate a large data warehouse from IBM Netezza to Amazon Redshift with no downtime
21 August 2019, AWS Blog

AWS and IBM Netezza come out in support of Iceberg in table format face-off
1 August 2023, The Register

IBM Completes Acquisition of Netezza
11 November 2010, PR Newswire

provided by Google News

SingleStore Partners With Snowflake to Help Users Build Faster, More Efficient Real Time AI Applications
19 September 2024, Business Wire

Achieve near real-time analytics on Amazon DynamoDB with SingleStore
16 September 2024, AWS Blog

Third time was the charm for SingleStore in the cloud, CEO says
8 July 2024, The Register

SingleStore CEO sees little future for purpose-built vector databases
24 January 2024, VentureBeat

Building a Modern Database: Nikita Shamgunov on Postgres and Beyond
18 April 2024, Madrona Venture Group

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

Database Deep Dives: JanusGraph
8 August 2019, IBM

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

provided by Google News



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