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DBMS > Microsoft Azure AI Search vs. ObjectBox vs. Speedb vs. Trafodion

System Properties Comparison Microsoft Azure AI Search vs. ObjectBox vs. Speedb vs. Trafodion

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Editorial information provided by DB-Engines
NameMicrosoft Azure AI Search  Xexclude from comparisonObjectBox  Xexclude from comparisonSpeedb  Xexclude from comparisonTrafodion  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionSearch-as-a-service for web and mobile app developmentLightweight, fast on-device database for IoT, Mobile and Embedded devices, persisting and synchronising objects and vectorsAn embeddable, high performance key-value store optimized for write-intensive workloads, which can be used as a drop-in replacement for RocksDBTransactional SQL-on-Hadoop DBMS
Primary database modelSearch engineObject oriented DBMS
Vector DBMS
Key-value storeRelational DBMS
Secondary database modelsVector DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.75
Rank#58  Overall
#7  Search engines
Score1.08
Rank#179  Overall
#6  Object oriented DBMS
#9  Vector DBMS
Score0.20
Rank#310  Overall
#44  Key-value stores
Websiteazure.microsoft.com/­en-us/­services/­searchgithub.com/­objectbox
objectbox.io
www.speedb.iotrafodion.apache.org
Technical documentationlearn.microsoft.com/­en-us/­azure/­searchdocs.objectbox.iotrafodion.apache.org/­documentation.html
DeveloperMicrosoftObjectBox LimitedSpeedbApache Software Foundation, originally developed by HP
Initial release2015201720202014
Current releaseV14.0 (May 2024)2.3.0, February 2019
License infoCommercial or Open SourcecommercialBindings are released under Apache 2.0 infoApache License 2.0Open Source infoApache Version 2.0; commercial license availableOpen Source infoApache 2.0
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 languageC and C++C++C++, Java
Server operating systemshostedAndroid
Any POSIX system
Docker
iOS
Linux
macOS
QNX
Windows
Linux
Windows
Linux
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyes, plus "flex" map-like typesnoyes
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.nononono
Secondary indexesyesyesnoyes
SQL infoSupport of SQLnononoyes
APIs and other access methodsRESTful HTTP APIProprietary native APIADO.NET
JDBC
ODBC
Supported programming languagesC#
Java
JavaScript
Python
C
C++
Dart (Flutter)
Go
Java
Kotlin
Python
Swift
C
C++
Go
Java
Perl
Python
Ruby
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresnononoJava Stored Procedures
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicenonehorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceData sync between devices allowing occasional connected databases to work completely offlineyesyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDyesACID
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.nonoyesno
User concepts infoAccess controlyes infousing Azure authenticationyesnofine grained access rights according to SQL-standard
More information provided by the system vendor
Microsoft Azure AI SearchObjectBoxSpeedbTrafodion
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17 September 2024

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11 September 2024

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24 July 2024

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18 June 2024

The on-device Vector Database for Android and Java
29 May 2024

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More resources
Microsoft Azure AI SearchObjectBoxSpeedbTrafodion
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)
2 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

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

Redis acquires storage engine startup Speedb to enhance its open-source database
21 March 2024, SiliconANGLE News

Redis switches licenses, acquires Speedb to go beyond its core in-memory database
21 March 2024, TechCrunch

Redis expands data management capabilities with Speedb acquisition
22 March 2024, Blocks & Files

Redis Acquires Speedb to Supercharge End-to-End Application Performance at Lower Cost
21 March 2024, GlobeNewswire

Redis Acquires Speedb, Expanding Its Data Platform Capabilities Beyond DRAM
22 March 2024, Datanami

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