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DBMS > FatDB vs. Kdb vs. Microsoft Azure SQL Database vs. Stardog

System Properties Comparison FatDB vs. Kdb vs. Microsoft Azure SQL Database vs. Stardog

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Editorial information provided by DB-Engines
NameFatDB  Xexclude from comparisonKdb  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonStardog  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.High performance Time Series DBMSDatabase as a Service offering with high compatibility to Microsoft SQL ServerEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualization
Primary database modelDocument store
Key-value store
Time Series DBMS
Vector DBMS
Relational DBMSGraph DBMS
RDF store
Secondary database modelsRelational DBMSDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.70
Rank#53  Overall
#3  Time Series DBMS
#1  Vector DBMS
Score78.40
Rank#15  Overall
#10  Relational DBMS
Score2.05
Rank#129  Overall
#11  Graph DBMS
#6  RDF stores
Websitekx.comazure.microsoft.com/­en-us/­products/­azure-sql/­databasewww.stardog.com
Technical documentationcode.kx.comdocs.microsoft.com/­en-us/­azure/­azure-sqldocs.stardog.com
DeveloperFatCloudKx Systems, a division of First Derivatives plcMicrosoftStardog-Union
Initial release20122000 infokdb was released 2000, kdb+ in 200320102010
Current release3.6, May 2018V127.3.0, May 2020
License infoCommercial or Open Sourcecommercialcommercial infofree 32-bit versioncommercialcommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/students
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC#qC++Java
Server operating systemsWindowsLinux
OS X
Solaris
Windows
hostedLinux
macOS
Windows
Data schemeschema-freeyesyesschema-free and OWL/RDFS-schema support
Typing infopredefined data types such as float or dateyesyesyesyes
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.yesyesno infoImport/export of XML data possible
Secondary indexesyesyes infotable attribute 'grouped'yesyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLno infoVia inetgration in SQL ServerSQL-like query language (q)yesYes, compatible with all major SQL variants through dedicated BI/SQL Server
APIs and other access methods.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
ADO.NET
JDBC
ODBC
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
Supported programming languagesC#C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresyes infovia applicationsuser defined functionsTransact SQLuser defined functions and aggregates, HTTP Server extensions in Java
Triggersyes infovia applicationsyes infowith viewsyesyes infovia event handlers
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replicationyes, with always 3 replicas availableMulti-source replication in HA-Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesno infosimilar paradigm used for internal processingnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate ConsistencyImmediate Consistency in HA-Cluster
Foreign keys infoReferential integritynoyesyesyes inforelationships in graphs
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 persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlno infoCan implement custom security layer via applicationsrights management via user accountsfine grained access rights according to SQL-standardAccess rights for users and roles
More information provided by the system vendor
FatDBKdbMicrosoft Azure SQL Database infoformerly SQL AzureStardog
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
» more
Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
» more
Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
» more
Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsupon request
» more

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More resources
FatDBKdbMicrosoft Azure SQL Database infoformerly SQL AzureStardog
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