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DBMS > Alibaba Cloud TSDB vs. GeoMesa vs. Netezza

System Properties Comparison Alibaba Cloud TSDB vs. GeoMesa vs. Netezza

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Editorial information provided by DB-Engines
NameAlibaba Cloud TSDB  Xexclude from comparisonGeoMesa  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparison
DescriptionA stable, reliable, and cost-effective online high-performance time series database serviceGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Data warehouse and analytics appliance part of IBM PureSystems
Primary database modelTime Series DBMSSpatial DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#300  Overall
#24  Time Series DBMS
Score0.78
Rank#214  Overall
#4  Spatial DBMS
Score7.56
Rank#48  Overall
#31  Relational DBMS
Websitewww.alibabacloud.com/­product/­hitsdbwww.geomesa.orgwww.ibm.com/­products/­netezza
Technical documentationwww.alibabacloud.com/­help/­en/­time-series-database/­latest/­what-is-tsdbwww.geomesa.org/­documentation/­stable/­user/­index.html
DeveloperAlibabaCCRi and othersIBM
Initial release20142000
Current release5.0.1, July 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache License 2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScala
Server operating systemshostedLinux infoincluded in appliance
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or dateNumeric data and Stringsyesyes
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 indexesnoyesyes
SQL infoSupport of SQLnonoyes
APIs and other access methodsHTTP RESTJDBC
ODBC
OLE DB
Supported programming languagesJavaC
C++
Fortran
Java
Lua
Perl
Python
R
Server-side scripts infoStored proceduresnonoyes
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layerSharding
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layerSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistencydepending on storage layer
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.nodepending on storage layer
User concepts infoAccess controlAccess managed on TSDB instance levelyes infodepending on the DBMS used for storageUsers with fine-grained authorization concept

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More resources
Alibaba Cloud TSDBGeoMesaNetezza infoAlso called PureData System for Analytics by IBM
DB-Engines blog posts

Spatial database management systems
6 April 2021, 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

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

Copy data from Netezza to Azure with Azure Data Factory
9 September 2019, Microsoft

IBM Completes Acquisition of Netezza
11 November 2010, PR Newswire

provided by Google News



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