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DBMS > H2 vs. Netezza vs. Pinecone

System Properties Comparison H2 vs. Netezza vs. Pinecone

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Editorial information provided by DB-Engines
NameH2  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonPinecone  Xexclude from comparison
DescriptionFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.Data warehouse and analytics appliance part of IBM PureSystemsA managed, cloud-native vector database
Primary database modelRelational DBMSRelational DBMSVector DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.14
Rank#50  Overall
#32  Relational DBMS
Score11.20
Rank#46  Overall
#29  Relational DBMS
Score3.33
Rank#98  Overall
#2  Vector DBMS
Websitewww.h2database.comwww.ibm.com/­products/­netezzawww.pinecone.io
Technical documentationwww.h2database.com/­html/­main.htmldocs.pinecone.io/­docs/­overview
DeveloperThomas MuellerIBMPinecone Systems, Inc
Initial release200520002019
Current release2.2.220, July 2023
License infoCommercial or Open SourceOpen Source infodual-licence (Mozilla public license, Eclipse public license)commercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava
Server operating systemsAll OS with a Java VMLinux infoincluded in appliancehosted
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyesString, Number, Boolean
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 indexesyesyes
SQL infoSupport of SQLyesyesno
APIs and other access methodsJDBC
ODBC
JDBC
ODBC
OLE DB
RESTful HTTP API
Supported programming languagesJavaC
C++
Fortran
Java
Lua
Perl
Python
R
Python
Server-side scripts infoStored proceduresJava Stored Procedures and User-Defined Functionsyes
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesWith clustering: 2 database servers on different computers operate on identical copies of a databaseSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlfine grained access rights according to SQL-standardUsers with fine-grained authorization concept

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More resources
H2Netezza infoAlso called PureData System for Analytics by IBMPinecone
DB-Engines blog posts

Vector databases
2 June 2023, Matthias Gelbmann

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Recent citations in the news

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Pinecone’s new serverless database may see few takers, analysts say
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3 February 2024, InfoQ.com

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