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DBMS > Apache Kylin vs. Atos Standard Common Repository vs. Microsoft Azure AI Search vs. Rockset

System Properties Comparison Apache Kylin vs. Atos Standard Common Repository vs. Microsoft Azure AI Search vs. Rockset

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Editorial information provided by DB-Engines
NameApache Kylin  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonRockset  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionA distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stackHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksSearch-as-a-service for web and mobile app developmentA scalable, reliable search and analytics service in the cloud, built on RocksDB
Primary database modelRelational DBMSDocument store
Key-value store
Search engineDocument store
Secondary database modelsVector DBMSRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.14
Rank#171  Overall
#77  Relational DBMS
Score5.75
Rank#58  Overall
#7  Search engines
Score1.07
Rank#180  Overall
#31  Document stores
Websitekylin.apache.orgatos.net/en/convergence-creators/portfolio/standard-common-repositoryazure.microsoft.com/­en-us/­services/­searchrockset.com
Technical documentationkylin.apache.org/­docslearn.microsoft.com/­en-us/­azure/­searchdocs.rockset.com
DeveloperApache Software Foundation, originally contributed from eBay IncAtos Convergence CreatorsMicrosoftRockset
Initial release2015201620152019
Current release3.1.0, July 20201703V1
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaC++
Server operating systemsLinuxLinuxhostedhosted
Data schemeyesSchema and schema-less with LDAP viewsyesschema-free
Typing infopredefined data types such as float or dateyesoptionalyesdynamic typing
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.noyesnono infoingestion from XML files supported
Secondary indexesyesyesyesall fields are automatically indexed
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)nonoRead-only SQL queries, including JOINs
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
LDAPRESTful HTTP APIHTTP REST
Supported programming languagesAll languages with LDAP bindingsC#
Java
JavaScript
Python
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnonono
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionSharding infoImplicit feature of the cloud serviceAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infoImplicit feature of the cloud serviceyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsnono
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.noyesno
User concepts infoAccess controlLDAP bind authenticationyes infousing Azure authenticationAccess rights for users and organizations can be defined via Rockset console

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More resources
Apache KylinAtos Standard Common RepositoryMicrosoft Azure AI SearchRockset
Recent citations in the news

Overhauling Apache Kylin for the cloud
18 November 2021, InfoWorld

Migrating from ClickHouse to Apache Doris: Boosting OLAP Performance
9 October 2023, hackernoon.com

eBay’s Kylin Becomes a Top-Level Apache Open Source Project
9 December 2015, eBay Inc.

Distributed OLAPer Kyligence accelerates core engine, adds real-time data support
10 August 2021, Blocks & Files

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9 November 2022, AWS Blog

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22 August 2024, azure.microsoft.com

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21 May 2024, azure.microsoft.com

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

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OpenAI’s first acquisition is an enterprise data startup
21 June 2024, The Verge

OpenAI Looks To Boost Data Retrieval Capabilities Of Its GenAI Technology With Rockset Acquisition
26 June 2024, CRN

OpenAI acquires Rockset to enhance ChatGPT real-time data processing
25 June 2024, InfoWorld

An Analysis Of OpenAI’s Acquisition Of Rockset And Its Strategic Significance
24 June 2024, Forbes

OpenAI buys database analytics firm Rockset in nine-figure stock deal, sources say
21 June 2024, Reuters

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