DB-EnginesextremeDB - solve IoT connectivity disruptionsEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by Redgate Software

DBMS > GeoMesa vs. Microsoft Azure AI Search vs. Oracle Rdb

System Properties Comparison GeoMesa vs. Microsoft Azure AI Search vs. Oracle Rdb

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 comparisonOracle Rdb  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 development
Primary database modelSpatial DBMSSearch engineRelational DBMS
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.80
Rank#211  Overall
#4  Spatial DBMS
Score5.70
Rank#59  Overall
#7  Search engines
Score1.03
Rank#182  Overall
#82  Relational DBMS
Websitewww.geomesa.orgazure.microsoft.com/­en-us/­services/­searchwww.oracle.com/­database/­technologies/­related/­rdb.html
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmllearn.microsoft.com/­en-us/­azure/­searchwww.oracle.com/­database/­technologies/­related/­rdb-doc.html
DeveloperCCRi and othersMicrosoftOracle, originally developed by Digital Equipment Corporation (DEC)
Initial release201420151984
Current release5.0.1, July 2024V17.4.1.1, 2021
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageScala
Server operating systemshostedHP Open VMS
Data schemeyesyesFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyesyesyes
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 indexesyesyesyes
SQL infoSupport of SQLnonoyes
APIs and other access methodsRESTful HTTP API
Supported programming languagesC#
Java
JavaScript
Python
Server-side scripts infoStored proceduresnono
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layerSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layeryes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on storage layerImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoyes, on a single node
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.depending on storage layernono
User concepts infoAccess controlyes infodepending on the DBMS used for storageyes infousing Azure authentication

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 SearchOracle Rdb
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

Boost your AI with Azure's new Phi model, streamlined RAG, and custom generative AI models
22 August 2024, azure.microsoft.com

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

From code to production: New ways Azure helps you build transformational AI experiences
21 May 2024, azure.microsoft.com

Microsoft boosts Azure AI Search with more storage and support for big RAG apps
5 April 2024, VentureBeat

provided by Google News

Oracle Business Model
13 June 2023, Business Model Analyst

Oracle Adds New AI-Enabling Features To MySQL HeatWave
23 March 2023, Forbes

2013 Data Science Salary Survey
4 May 2013, oreilly.com

provided by Google News



Share this page

Featured Products

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

Neo4j logo

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

RaimaDB logo

RaimaDB, embedded database for mission-critical applications. When performance, footprint and reliability matters.
Try RaimaDB for free.

Milvus logo

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

SingleStore logo

The data platform to build your intelligent applications.
Try it free.

Present your product here