DB-EnginesExtremeDB: mitigate connectivity issues in a DBMSEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Microsoft Azure AI Search vs. Netezza vs. SiriDB vs. XTDB

System Properties Comparison Microsoft Azure AI Search vs. Netezza vs. SiriDB vs. XTDB

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameMicrosoft Azure AI Search  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonSiriDB  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
DescriptionSearch-as-a-service for web and mobile app developmentData warehouse and analytics appliance part of IBM PureSystemsOpen Source Time Series DBMSA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelSearch engineRelational DBMSTime Series DBMSDocument store
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.52
Rank#59  Overall
#6  Search engines
Score8.59
Rank#45  Overall
#29  Relational DBMS
Score0.07
Rank#378  Overall
#42  Time Series DBMS
Score0.18
Rank#332  Overall
#46  Document stores
Websiteazure.microsoft.com/­en-us/­services/­searchwww.ibm.com/­products/­netezzasiridb.comgithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationlearn.microsoft.com/­en-us/­azure/­searchdocs.siridb.comwww.xtdb.com/­docs
DeveloperMicrosoftIBMCesbitJuxt Ltd.
Initial release2015200020172019
Current releaseV11.19, September 2021
License infoCommercial or Open SourcecommercialcommercialOpen Source infoMIT LicenseOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCClojure
Server operating systemshostedLinux infoincluded in applianceLinuxAll OS with a Java 8 (and higher) VM
Linux
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyes infoNumeric datayes, extensible-data-notation format
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.nonono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnoyesnolimited SQL, making use of Apache Calcite
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
OLE DB
HTTP APIHTTP REST
JDBC
Supported programming languagesC#
Java
JavaScript
Python
C
C++
Fortran
Java
Lua
Perl
Python
R
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Clojure
Java
Server-side scripts infoStored proceduresnoyesnono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceSource-replica replicationyesyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlyes infousing Azure authenticationUsers with fine-grained authorization conceptsimple rights management via user accounts

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
Microsoft Azure AI SearchNetezza infoAlso called PureData System for Analytics by IBMSiriDBXTDB infoformerly named Crux
Recent citations in the news

Announcing updates to Azure AI Search to help organizations build and scale generative AI applications
4 April 2024, Microsoft

Public Preview of Azure OpenAI and AI Search in-app connectors for Logic Apps (Standard) | Azure updates
2 April 2024, Microsoft

Microsoft’s Azure AI Search updated with increased storage, vector index size
5 April 2024, InfoWorld

From code to production: New ways Azure helps you build transformational AI experiences
21 May 2024, Microsoft

Celebrating customers' journeys to AI innovation at Microsoft Build 2024
30 May 2024, Microsoft

provided by Google News

Roundup: Telehouse, Cloudera, Netezza, EMC
31 May 2024, Data Center Knowledge

IBM announces availability of the high-performance, cloud-native Netezza Performance Server as a Service on AWS
11 July 2023, IBM

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

Netezza Performance Server
12 August 2020, IBM

provided by Google News



Share this page

Featured Products

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

Present your product here