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DBMS > Apache Kylin vs. LokiJS vs. Microsoft SQL Server vs. OceanBase

System Properties Comparison Apache Kylin vs. LokiJS vs. Microsoft SQL Server vs. OceanBase

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Editorial information provided by DB-Engines
NameApache Kylin  Xexclude from comparisonLokiJS  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonOceanBase  Xexclude from comparison
DescriptionA distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stackIn-memory JavaScript DBMSMicrosofts flagship relational DBMSA distributed, high available RDBMS compatible with Oracle and MySQL
Primary database modelRelational DBMSDocument storeRelational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Document store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.14
Rank#171  Overall
#77  Relational DBMS
Score0.44
Rank#256  Overall
#40  Document stores
Score807.76
Rank#3  Overall
#3  Relational DBMS
Score1.97
Rank#119  Overall
#58  Relational DBMS
Websitekylin.apache.orggithub.com/­techfort/­LokiJSwww.microsoft.com/­en-us/­sql-serveren.oceanbase.com
Technical documentationkylin.apache.org/­docstechfort.github.io/­LokiJSlearn.microsoft.com/­en-US/­sql/­sql-serveren.oceanbase.com/­docs/­oceanbase-database
DeveloperApache Software Foundation, originally contributed from eBay IncMicrosoftOceanBase infopreviously Alibaba and Ant Group
Initial release2015201419892010
Current release3.1.0, July 2020SQL Server 2022, November 20224.3.0, April 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Sourcecommercial inforestricted free version is availableOpen Source infoCommercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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SQLServer Flex @ STACKIT offers a managed version of SQL Server with adjustable CPU, RAM, storage amount and speed, in enterprise grade to perfectly match all application requirements. All services are 100% GDPR-compliant.
Implementation languageJavaJavaScriptC++C++
Server operating systemsLinuxserver-less, requires a JavaScript environment (browser, Node.js)Linux
Windows
Linux
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoyesyes
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.nonoyesyes
Secondary indexesyesyes infovia viewsyesyes
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)noyesyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JavaScript APIADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Proprietary native API
Table API
Supported programming languagesJavaScriptC#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
Ada infoin MySQL-compatible model
C infoin Oracle- and MySQL- compatible models
C++ infoin Oracle- and MySQL- compatible models
D infoin MySQL-compatible model
Delphi infoin MySQL-compatible model
Eiffel infoin MySQL-compatible model
Erlang infoin MySQL-compatible model
Haskell infoin MySQL-compatible model
Java infoin Oracle- and MySQL- compatible models
JavaScript (Node.js) infoin MySQL-compatible model
Objective-C infoin MySQL-compatible model
OCaml infoin MySQL-compatible model
Perl infoin MySQL-compatible model
PHP infoin MySQL-compatible model
Python infoin MySQL-compatible model
Ruby infoin MySQL-compatible model
Scheme infoin MySQL-compatible model
Tcl infoin MySQL-compatible model
Server-side scripts infoStored proceduresView functions in JavaScriptTransact SQL, .NET languages, R, Python and (with SQL Server 2019) JavaPL/SQL in oracle-compatible mode, MySQL Stored Procedure in mysql-compatible mode
Triggersyesyesyes
Partitioning methods infoMethods for storing different data on different nodesnonetables can be distributed across several files (horizontal partitioning); sharding through federationhorizontal partitioning (by hash, key, range, range columns, list, and list columns)
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes, but depending on the SQL-Server EditionMulti-source replication using Paxos
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoatomic operations within a single collection possibleACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infoSerialization of a DB in a Node.JS/Cordova/PhoneGap environment. Usage of the IndexedDB-API in a browser.yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardAccess rights for users, groups and roles according to SQL-standard

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More resources
Apache KylinLokiJSMicrosoft SQL ServerOceanBase
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Conferences, events and webinars

PASS Data Community Summit
Seattle, Washington, 4-8 November 2024

Recent citations in the news

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