DB-EnginesExtremeDB for everyone with an RTOSEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Atos Standard Common Repository vs. Kdb vs. Microsoft Azure AI Search vs. Yaacomo

System Properties Comparison Atos Standard Common Repository vs. Kdb vs. Microsoft Azure AI Search vs. Yaacomo

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonKdb  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonYaacomo  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksHigh performance Time Series DBMSSearch-as-a-service for web and mobile app developmentOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelDocument store
Key-value store
Time Series DBMS
Vector DBMS
Search engineRelational DBMS
Secondary database modelsRelational DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.70
Rank#53  Overall
#3  Time Series DBMS
#1  Vector DBMS
Score5.71
Rank#64  Overall
#8  Search engines
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorykx.comazure.microsoft.com/­en-us/­services/­searchyaacomo.com
Technical documentationcode.kx.comlearn.microsoft.com/­en-us/­azure/­search
DeveloperAtos Convergence CreatorsKx Systems, a division of First Derivatives plcMicrosoftQ2WEB GmbH
Initial release20162000 infokdb was released 2000, kdb+ in 200320152009
Current release17033.6, May 2018V1
License infoCommercial or Open Sourcecommercialcommercial infofree 32-bit versioncommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaq
Server operating systemsLinuxLinux
OS X
Solaris
Windows
hostedAndroid
Linux
Windows
Data schemeSchema and schema-less with LDAP viewsyesyesyes
Typing infopredefined data types such as float or dateoptionalyesyesyes
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.yesyesnono
Secondary indexesyesyes infotable attribute 'grouped'yesyes
SQL infoSupport of SQLnoSQL-like query language (q)noyes
APIs and other access methodsLDAPHTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
RESTful HTTP APIJDBC
ODBC
Supported programming languagesAll languages with LDAP bindingsC
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
C#
Java
JavaScript
Python
Server-side scripts infoStored proceduresnouser defined functionsno
Triggersyesyes infowith viewsnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionhorizontal partitioningSharding infoImplicit feature of the cloud servicehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationyes infoImplicit feature of the cloud serviceSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infosimilar paradigm used for internal processingnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsnonoACID
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.yesyesnoyes
User concepts infoAccess controlLDAP bind authenticationrights management via user accountsyes infousing Azure authenticationfine grained access rights according to SQL-standard
More information provided by the system vendor
Atos Standard Common RepositoryKdbMicrosoft Azure AI SearchYaacomo
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
» more
Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
» more
Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
» more
Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsupon request
» more

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
Atos Standard Common RepositoryKdbMicrosoft Azure AI SearchYaacomo
Recent citations in the news

Turbocharging the Engine: KX Unleashes AI-First Transformation with kdb+
28 February 2024, Business Wire

Introducing Amazon FinSpace with Managed kdb Insights, a fully managed analytics engine, commonly used by capital ...
18 May 2023, AWS Blog

McLaren Applied and KX partner to enhance ATLAS software analytics capabilities
9 August 2023, Professional Motorsport World

KX ANNOUNCES KDB INSIGHTS AS FULLY MANAGED SERVICE ON AMAZON FINSPACE
18 May 2023, Yahoo Finance

KX Brings the Power and Performance of kdb+ to Python Developers with PyKX
7 June 2023, Datanami

provided by Google 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

Microsoft Azure AI Search just got a massive storage increase - here's what you need to know
8 April 2024, ITPro

Microsoft Azure AI adds storage power, large RAG app support
5 April 2024, VentureBeat

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

Ontotext logo

GraphDB allows you to link diverse data, index it for semantic search and enrich it via text analysis to build big knowledge graphs. Get it free.

Neo4j logo

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

SingleStore logo

The database to transact, analyze and contextualize your data in real time.
Try it today.

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