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DBMS > H2 vs. Netezza vs. Teradata vs. TerminusDB

System Properties Comparison H2 vs. Netezza vs. Teradata vs. TerminusDB

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Editorial information provided by DB-Engines
NameH2  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonTeradata  Xexclude from comparisonTerminusDB infoformer name was DataChemist  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 hybrid cloud data analytics software platform (Teradata Vantage)Scalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships
Primary database modelRelational DBMSRelational DBMSRelational DBMSGraph DBMS
Secondary database modelsSpatial DBMSDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
Document store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.13
Rank#49  Overall
#31  Relational DBMS
Score9.06
Rank#46  Overall
#29  Relational DBMS
Score45.33
Rank#21  Overall
#15  Relational DBMS
Score0.17
Rank#325  Overall
#29  Graph DBMS
Websitewww.h2database.comwww.ibm.com/­products/­netezzawww.teradata.comterminusdb.com
Technical documentationwww.h2database.com/­html/­main.htmldocs.teradata.comterminusdb.github.io/­terminusdb/­#
DeveloperThomas MuellerIBMTeradataDataChemist Ltd.
Initial release2005200019842018
Current release2.2.220, July 2023Teradata Vantage 1.0 MU2, January 201911.0.0, January 2023
License infoCommercial or Open SourceOpen Source infodual-licence (Mozilla public license, Eclipse public license)commercialcommercialOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaProlog, Rust
Server operating systemsAll OS with a Java VMLinux infoincluded in appliancehosted
Linux
Linux
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.noyesno
Secondary indexesyesyesyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLyesyesyes infoSQL 2016 + extensionsSQL-like query language (WOQL)
APIs and other access methodsJDBC
ODBC
JDBC
ODBC
OLE DB
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
OWL
RESTful HTTP API
WOQL (Web Object Query Language)
Supported programming languagesJavaC
C++
Fortran
Java
Lua
Perl
Python
R
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
JavaScript
Python
Server-side scripts infoStored proceduresJava Stored Procedures and User-Defined Functionsyesyes infoUDFs, stored procedures, table functions in parallelyes
Triggersyesnoyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infoHashingGraph Partitioning
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 replicationMulti-source replication
Source-replica replication
Journaling Streams
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoin-memory journaling
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardUsers with fine-grained authorization conceptfine grained access rights according to SQL-standardRole-based access control

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More resources
H2Netezza infoAlso called PureData System for Analytics by IBMTeradataTerminusDB infoformer name was DataChemist
DB-Engines blog posts

Teradata is the most popular data warehouse DBMS
2 April 2013, Paul Andlinger

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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

IBM Brings Back a Netezza, Attacks Yellowbrick
29 June 2020, Datanami

Netezza Performance Server
12 August 2020, ibm.com

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Teradata (TDC) Reports Earnings Tomorrow: What To Expect
15 May 2024, The Globe and Mail

An interview with Teradata CFO Claire Bramley
9 February 2024, McKinsey

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How TerminusDB is commercializing its open source graph database
16 March 2021, VentureBeat

TerminusDB Takes on Data Collaboration with a git-Like Approach
1 December 2020, The New Stack

Dublin-based data collaboration tool TerminusDB raises €3.6 million in seed round
15 March 2021, Tech.eu

[MCR2030-CAMS-ARISE-UNDRR Webinar] Preventing cascading failures of critical assets: Using the Open-Source ...
12 April 2022, United Nations Office for Disaster Risk Reduction

Trinity College spinout TerminusDB secures €3.6m in investment
15 March 2021, The Irish Times

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