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

DBMS > GeoMesa vs. Microsoft Azure AI Search vs. Netezza vs. OceanBase

System Properties Comparison GeoMesa vs. Microsoft Azure AI Search vs. Netezza vs. OceanBase

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameGeoMesa  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonOceanBase  Xexclude from comparison
DescriptionGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Search-as-a-service for web and mobile app developmentData warehouse and analytics appliance part of IBM PureSystemsA distributed, high available RDBMS compatible with Oracle and MySQL
Primary database modelSpatial DBMSSearch engineRelational DBMSRelational DBMS
Secondary database modelsVector DBMSDocument store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.86
Rank#205  Overall
#4  Spatial DBMS
Score5.52
Rank#59  Overall
#6  Search engines
Score8.59
Rank#45  Overall
#29  Relational DBMS
Score1.57
Rank#149  Overall
#69  Relational DBMS
Websitewww.geomesa.orgazure.microsoft.com/­en-us/­services/­searchwww.ibm.com/­products/­netezzaen.oceanbase.com
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmllearn.microsoft.com/­en-us/­azure/­searchen.oceanbase.com/­docs/­oceanbase-database
DeveloperCCRi and othersMicrosoftIBMOceanBase infopreviously Alibaba and Ant Group
Initial release2014201520002010
Current release5.0.0, May 2024V14.3.0, April 2024
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercialcommercialOpen Source infoCommercial license available
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageScalaC++
Server operating systemshostedLinux infoincluded in applianceLinux
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.nonoyes
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnonoyesyes
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
OLE DB
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Proprietary native API
Table API
Supported programming languagesC#
Java
JavaScript
Python
C
C++
Fortran
Java
Lua
Perl
Python
R
Ada infoin MySQL-compatible model
C infoin Oracle- and MySQL- compatible models
C++ infoin Oracle- and MySQL- compatible models
D infoin MySQL-compatible model
Delphi infoin MySQL-compatible model
Eiffel infoin MySQL-compatible model
Erlang infoin MySQL-compatible model
Haskell infoin MySQL-compatible model
Java infoin Oracle- and MySQL- compatible models
JavaScript (Node.js) infoin MySQL-compatible model
Objective-C infoin MySQL-compatible model
OCaml infoin MySQL-compatible model
Perl infoin MySQL-compatible model
PHP infoin MySQL-compatible model
Python infoin MySQL-compatible model
Ruby infoin MySQL-compatible model
Scheme infoin MySQL-compatible model
Tcl infoin MySQL-compatible model
Server-side scripts infoStored proceduresnonoyesPL/SQL in oracle-compatible mode, MySQL Stored Procedure in mysql-compatible mode
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layerSharding infoImplicit feature of the cloud serviceShardinghorizontal partitioning (by hash, key, range, range columns, list, and list columns)
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layeryes infoImplicit feature of the cloud serviceSource-replica replicationMulti-source replication using Paxos
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on storage layerImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.depending on storage layerno
User concepts infoAccess controlyes infodepending on the DBMS used for storageyes infousing Azure authenticationUsers with fine-grained authorization conceptAccess rights for users, groups and roles according to SQL-standard

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
GeoMesaMicrosoft Azure AI SearchNetezza infoAlso called PureData System for Analytics by IBMOceanBase
DB-Engines blog posts

Spatial database management systems
6 April 2021, Matthias Gelbmann

show all

Recent citations in the news

Announcing updates to Azure AI Search to help organizations build and scale generative AI applications
4 April 2024, azure.microsoft.com

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

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, azure.microsoft.com

Celebrating customers' journeys to AI innovation at Microsoft Build 2024
30 May 2024, azure.microsoft.com

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

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

provided by Google News

OceanBase Inks Agreement with NTU Singapore in Database Optimization and Green Computing Advancements
31 January 2024, PR Newswire

OceanBase Recognized as an Asia/Pacific Customers' Choice in the Gartner® Peer Insights™ Voice of the Customer ...
5 June 2024, PR Newswire Asia

Ant Group Will Cut Foreign Investors Out of Fast-Growing Database Business
22 August 2023, The Information

How Southeast Asia's Leading e-Wallets Saved Up to 40% in Database Costs - Fintech Singapore
25 March 2024, Fintech News Singapore

Alibaba's OceanBase distributed database aims at markets outside China
16 August 2022, InfoWorld

provided by Google News



Share this page

Featured Products

Milvus logo

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

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

Present your product here