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DBMS > Apache Kylin vs. atoti vs. Geode vs. Microsoft SQL Server

System Properties Comparison Apache Kylin vs. atoti vs. Geode vs. Microsoft SQL Server

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Editorial information provided by DB-Engines
NameApache Kylin  Xexclude from comparisonatoti  Xexclude from comparisonGeode  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparison
DescriptionA distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stackAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.Geode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesMicrosofts flagship relational DBMS
Primary database modelRelational DBMSObject oriented DBMSKey-value storeRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.18
Rank#172  Overall
#79  Relational DBMS
Score0.56
Rank#245  Overall
#10  Object oriented DBMS
Score1.92
Rank#131  Overall
#23  Key-value stores
Score824.29
Rank#3  Overall
#3  Relational DBMS
Websitekylin.apache.orgatoti.iogeode.apache.orgwww.microsoft.com/­en-us/­sql-server
Technical documentationkylin.apache.org/­docsdocs.atoti.iogeode.apache.org/­docslearn.microsoft.com/­en-US/­sql/­sql-server
DeveloperApache Software Foundation, originally contributed from eBay IncActiveViamOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.Microsoft
Initial release201520021989
Current release3.1.0, July 20201.1, February 2017SQL Server 2022, November 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infofree versions availableOpen Source infoApache Version 2; commercial licenses available as Gemfirecommercial inforestricted free version is 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 languageJavaJavaJavaC++
Server operating systemsLinuxAll OS with a Java VM infothe JDK (8 or later) is also requiredLinux
Windows
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes
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.nonoyes
Secondary indexesyesnoyes
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)Multidimensional Expressions (MDX)SQL-like query language (OQL)yes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
Java Client API
Memcached protocol
RESTful HTTP API
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
Supported programming languages.Net
All JVM based languages
C++
Groovy
Java
Scala
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
Server-side scripts infoStored proceduresPythonuser defined functionsTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Java
Triggersyes infoCache Event Listenersyes
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningShardingtables can be distributed across several files (horizontal partitioning); sharding through federation
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyes, but depending on the SQL-Server Edition
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes, on a single nodeACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
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.noyesyesyes
User concepts infoAccess controlAccess rights per client and object definablefine grained access rights according to SQL-standard

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More resources
Apache KylinatotiGeodeMicrosoft SQL Server
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