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DBMS > Netezza vs. OpenEdge vs. Teradata Aster vs. TinkerGraph vs. Warp 10

System Properties Comparison Netezza vs. OpenEdge vs. Teradata Aster vs. TinkerGraph vs. Warp 10

Editorial information provided by DB-Engines
NameNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonOpenEdge  Xexclude from comparisonTeradata Aster  Xexclude from comparisonTinkerGraph  Xexclude from comparisonWarp 10  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionData warehouse and analytics appliance part of IBM PureSystemsApplication development environment with integrated database management systemPlatform for big data analytics on multistructured data sources and typesA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 APITimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelRelational DBMSRelational DBMSRelational DBMSGraph DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score9.06
Rank#46  Overall
#29  Relational DBMS
Score3.51
Rank#86  Overall
#46  Relational DBMS
Score0.08
Rank#348  Overall
#35  Graph DBMS
Score0.07
Rank#349  Overall
#32  Time Series DBMS
Websitewww.ibm.com/­products/­netezzawww.progress.com/­openedgetinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlinwww.warp10.io
Technical documentationdocumentation.progress.com/­output/­ua/­OpenEdge_latestwww.warp10.io/­content/­02_Getting_started
DeveloperIBMProgress Software CorporationTeradataSenX
Initial release20001984200520092015
Current releaseOpenEdge 12.2, March 2020
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoApache 2.0Open Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava
Server operating systemsLinux infoincluded in applianceAIX
HP-UX
Linux
Solaris
Windows
LinuxLinux
OS X
Windows
Data schemeyesyesFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Storeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.yesyes infoin Aster File Storenono
Secondary indexesyesyesyesnono
SQL infoSupport of SQLyesyes infoclose to SQL 92yesnono
APIs and other access methodsJDBC
ODBC
OLE DB
JDBC
ODBC
ADO.NET
JDBC
ODBC
OLE DB
TinkerPop 3HTTP API
Jupyter
WebSocket
Supported programming languagesC
C++
Fortran
Java
Lua
Perl
Python
R
Progress proprietary ABL (Advanced Business Language)C
C#
C++
Java
Python
R
Groovy
Java
Server-side scripts infoStored proceduresyesyesR packagesnoyes infoWarpScript
Triggersnoyesnonono
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning infosince Version 11.4ShardingnoneSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.noneselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyes infoSQL Map-Reduce Frameworknono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationnoneImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynoyesnoyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesnoyes
Durability infoSupport for making data persistentyesyesyesoptionalyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes
User concepts infoAccess controlUsers with fine-grained authorization conceptUsers and groupsfine grained access rights according to SQL-standardnoMandatory use of cryptographic tokens, containing fine-grained authorizations

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More resources
Netezza infoAlso called PureData System for Analytics by IBMOpenEdgeTeradata AsterTinkerGraphWarp 10
Recent citations in the news

IBM announces availability of the high-performance, cloud-native Netezza Performance Server as a Service on AWS
11 July 2023, ibm.com

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

Migrating your Netezza data warehouse to Amazon Redshift | Amazon Web Services
27 May 2020, AWS Blog

Netezza Performance Server
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29 June 2020, Datanami

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23 April 2015, The Register

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Teradata unveils improved QueryGrid connectors
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