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DBMS > EXASOL vs. Netezza vs. NSDb vs. STSdb

System Properties Comparison EXASOL vs. Netezza vs. NSDb vs. STSdb

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Editorial information provided by DB-Engines
NameEXASOL  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonNSDb  Xexclude from comparisonSTSdb  Xexclude from comparison
DescriptionHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.Data warehouse and analytics appliance part of IBM PureSystemsScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelRelational DBMSRelational DBMSTime Series DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.66
Rank#138  Overall
#64  Relational DBMS
Score7.56
Rank#48  Overall
#31  Relational DBMS
Score0.00
Rank#385  Overall
#40  Time Series DBMS
Score0.03
Rank#365  Overall
#54  Key-value stores
Websitewww.exasol.comwww.ibm.com/­products/­netezzansdb.iogithub.com/­STSSoft/­STSdb4
Technical documentationwww.exasol.com/­resourcesnsdb.io/­Architecture
DeveloperExasolIBMSTS Soft SC
Initial release2000200020172011
Current release4.0.8, September 2015
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2.0Open Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ScalaC#
Server operating systemsLinux infoincluded in applianceLinux
macOS
Windows
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes: int, bigint, decimal, stringyes infoprimitive types and user defined types (classes)
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 indexesyesyesall fields are automatically indexedno
SQL infoSupport of SQLyesyesSQL-like query languageno
APIs and other access methods.Net
JDBC
ODBC
WebSocket
JDBC
ODBC
OLE DB
gRPC
HTTP REST
WebSocket
.NET Client API
Supported programming languagesJava
Lua
Python
R
C
C++
Fortran
Java
Lua
Perl
Python
R
Java
Scala
C#
Java
Server-side scripts infoStored proceduresuser defined functionsyesnono
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoHadoop integrationyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesUsing Apache Luceneyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardUsers with fine-grained authorization conceptno

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More resources
EXASOLNetezza infoAlso called PureData System for Analytics by IBMNSDbSTSdb
Recent citations in the news

Exasol gets jolt of AI with Espresso suite of capabilities
26 February 2024, TechTarget

Exasol Finds AI Underinvestment Leads to Business Failure, But Data Challenges Stall Rapid Adoption
14 May 2024, insideBIGDATA

Mathias Golombek, Chief Technology Officer of Exasol – Interview Series
21 May 2024, Unite.AI

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27 May 2024, All-About-Industries

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26 October 2023, Datanami

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21 June 2024, IBM

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8 September 2024, Supermarket News

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, azure.microsoft.com

provided by Google News



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