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DBMS > FatDB vs. KairosDB vs. OrigoDB vs. SAP HANA

System Properties Comparison FatDB vs. KairosDB vs. OrigoDB vs. SAP HANA

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Editorial information provided by DB-Engines
NameFatDB  Xexclude from comparisonKairosDB  Xexclude from comparisonOrigoDB  Xexclude from comparisonSAP HANA  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionA .NET NoSQL DBMS that can integrate with and extend SQL Server.Distributed Time Series DBMS based on Cassandra or H2A fully ACID in-memory object graph databaseIn-memory, column based data store. Available as appliance or cloud service
Primary database modelDocument store
Key-value store
Time Series DBMSDocument store
Object oriented DBMS
Relational DBMS
Secondary database modelsDocument store
Graph DBMS infowith SAP Hana, Enterprise Edition
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.60
Rank#238  Overall
#20  Time Series DBMS
Score0.00
Rank#385  Overall
#54  Document stores
#21  Object oriented DBMS
Score41.32
Rank#23  Overall
#16  Relational DBMS
Websitegithub.com/­kairosdb/­kairosdborigodb.comwww.sap.com/­products/­hana.html
Technical documentationkairosdb.github.ioorigodb.com/­docshelp.sap.com/­hana
DeveloperFatCloudRobert Friberg et alSAP
Initial release201220132009 infounder the name LiveDB2010
Current release1.2.2, November 20182.0 SPS07 (April 4, 2023), April 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Sourcecommercial
Cloud-based only infoOnly available as a cloud servicenononono infoalso available as a cloud based service
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC#JavaC#
Server operating systemsWindowsLinux
OS X
Windows
Linux
Windows
Appliance or cloud-service
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesUser defined using .NET types and collectionsyes
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 infocan be achieved using .NETno
Secondary indexesyesnoyesyes
SQL infoSupport of SQLno infoVia inetgration in SQL Servernonoyes
APIs and other access methods.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
Graphite protocol
HTTP REST
Telnet API
.NET Client API
HTTP API
LINQ
JDBC
ODBC
Supported programming languagesC#Java
JavaScript infoNode.js
PHP
Python
.Net
Server-side scripts infoStored proceduresyes infovia applicationsnoyesSQLScript, R
Triggersyes infovia applicationsnoyes infoDomain Eventsyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on Cassandrahorizontal partitioning infoclient side managed; servers are not synchronizedyes
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorselectable replication factor infobased on CassandraSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Eventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integritynonodepending on modelyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoWrite ahead logyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlno infoCan implement custom security layer via applicationssimple password-based access controlRole based authorizationyes

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FatDBKairosDBOrigoDBSAP HANA
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