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DBMS > Apache Kylin vs. EventStoreDB vs. Microsoft Azure AI Search vs. RavenDB

System Properties Comparison Apache Kylin vs. EventStoreDB vs. Microsoft Azure AI Search vs. RavenDB

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Editorial information provided by DB-Engines
NameApache Kylin  Xexclude from comparisonEventStoreDB  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonRavenDB  Xexclude from comparison
DescriptionA distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stackIndustrial-strength, open-source database solution built from the ground up for event sourcing.Search-as-a-service for web and mobile app developmentOpen Source Operational and Transactional Enterprise NoSQL Document Database
Primary database modelRelational DBMSEvent StoreSearch engineDocument store
Secondary database modelsVector DBMSGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.25
Rank#170  Overall
#77  Relational DBMS
Score1.19
Rank#173  Overall
#1  Event Stores
Score5.52
Rank#59  Overall
#6  Search engines
Score2.84
Rank#101  Overall
#18  Document stores
Websitekylin.apache.orgwww.eventstore.comazure.microsoft.com/­en-us/­services/­searchravendb.net
Technical documentationkylin.apache.org/­docsdevelopers.eventstore.comlearn.microsoft.com/­en-us/­azure/­searchravendb.net/­docs
DeveloperApache Software Foundation, originally contributed from eBay IncEvent Store LimitedMicrosoftHibernating Rhinos
Initial release2015201220152010
Current release3.1.0, July 202021.2, February 2021V15.4, July 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open SourcecommercialOpen Source infoAGPL version 3, commercial license available
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC#
Server operating systemsLinuxLinux
Windows
hostedLinux
macOS
Raspberry Pi
Windows
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesno
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.nono
Secondary indexesyesyesyes
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)noSQL-like query language (RQL)
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
RESTful HTTP API.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Supported programming languagesC#
Java
JavaScript
Python
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoyes
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID, Cluster-wide transaction available
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.nono
User concepts infoAccess controlyes infousing Azure authenticationAuthorization levels configured per client per database

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More resources
Apache KylinEventStoreDBMicrosoft Azure AI SearchRavenDB
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