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DBMS > Netezza vs. TinkerGraph vs. Transwarp Hippo

System Properties Comparison Netezza vs. TinkerGraph vs. Transwarp Hippo

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Editorial information provided by DB-Engines
NameNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonTinkerGraph  Xexclude from comparisonTranswarp Hippo  Xexclude from comparison
DescriptionData warehouse and analytics appliance part of IBM PureSystemsA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 APICloud-native distributed Vector DBMS that supports storage, retrieval, and management of massive vector-based datasets
Primary database modelRelational DBMSGraph DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.34
Rank#48  Overall
#30  Relational DBMS
Score0.07
Rank#344  Overall
#34  Graph DBMS
Score0.00
Rank#388  Overall
#18  Vector DBMS
Websitewww.ibm.com/­products/­netezzatinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlinwww.transwarp.cn/­en/­subproduct/­hippo
DeveloperIBM
Initial release200020092023
Current release1.0, May 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercial
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.
Implementation languageJavaC++
Server operating systemsLinux infoincluded in applianceLinux
macOS
Data schemeyesschema-free
Typing infopredefined data types such as float or dateyesyesVector, Numeric and String
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.nono
Secondary indexesyesnono
SQL infoSupport of SQLyesnono
APIs and other access methodsJDBC
ODBC
OLE DB
TinkerPop 3RESTful HTTP API
Supported programming languagesC
C++
Fortran
Java
Lua
Perl
Python
R
Groovy
Java
C++
Java
Python
Server-side scripts infoStored proceduresyesnono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency
Foreign keys infoReferential integritynoyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono
Concurrency infoSupport for concurrent manipulation of datayesnoyes
Durability infoSupport for making data persistentyesoptionalyes
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 authorization conceptnoRole based access control and fine grained access rights

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More resources
Netezza infoAlso called PureData System for Analytics by IBMTinkerGraphTranswarp Hippo
Recent citations in the news

Unify and share data across Netezza and watsonx.data for new generative AI applications
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