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DBMS > EsgynDB vs. KairosDB vs. Microsoft SQL Server vs. Quasardb vs. Realm

System Properties Comparison EsgynDB vs. KairosDB vs. Microsoft SQL Server vs. Quasardb vs. Realm

Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonKairosDB  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonQuasardb  Xexclude from comparisonRealm  Xexclude from comparison
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionDistributed Time Series DBMS based on Cassandra or H2Microsofts flagship relational DBMSDistributed, high-performance timeseries databaseA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core Data
Primary database modelRelational DBMSTime Series DBMSRelational DBMSTime Series DBMSDocument store
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score0.62
Rank#239  Overall
#20  Time Series DBMS
Score824.29
Rank#3  Overall
#3  Relational DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Score7.60
Rank#52  Overall
#9  Document stores
Websitewww.esgyn.cngithub.com/­kairosdb/­kairosdbwww.microsoft.com/­en-us/­sql-serverquasar.airealm.io
Technical documentationkairosdb.github.iolearn.microsoft.com/­en-US/­sql/­sql-serverdoc.quasar.ai/­masterrealm.io/­docs
DeveloperEsgynMicrosoftquasardbRealm, acquired by MongoDB in May 2019
Initial release20152013198920092014
Current release1.2.2, November 2018SQL Server 2022, November 20223.14.1, January 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercial inforestricted free version is availablecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source
Cloud-based only infoOnly available as a cloud servicenonononono
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 languageC++, JavaJavaC++C++
Server operating systemsLinuxLinux
OS X
Windows
Linux
Windows
BSD
Linux
OS X
Windows
Android
Backend: server-less
iOS
Windows
Data schemeyesschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyes infointeger and binaryyes
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.nonoyesnono
Secondary indexesyesnoyesyes infowith tagsyes
SQL infoSupport of SQLyesnoyesSQL-like query languageno
APIs and other access methodsADO.NET
JDBC
ODBC
Graphite protocol
HTTP REST
Telnet API
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
HTTP API
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.NetJava
JavaScript infoNode.js
PHP
Python
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
.Net
Java infowith Android only
Objective-C
React Native
Swift
Server-side scripts infoStored proceduresJava Stored ProceduresnoTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javanono inforuns within the applications so server-side scripts are unnecessary
Triggersnonoyesnoyes infoChange Listeners
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on Cassandratables can be distributed across several files (horizontal partitioning); sharding through federationSharding infoconsistent hashingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersselectable replication factor infobased on Cassandrayes, but depending on the SQL-Server EditionSource-replica replication with selectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonowith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes infoTransient modeyes infoIn-Memory realm
User concepts infoAccess controlfine grained access rights according to SQL-standardsimple password-based access controlfine grained access rights according to SQL-standardCryptographically strong user authentication and audit trailyes

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More resources
EsgynDBKairosDBMicrosoft SQL ServerQuasardbRealm
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