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

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

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Editorial information provided by DB-Engines
NameKdb  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonStardog  Xexclude from comparisonTypesense  Xexclude from comparison
DescriptionHigh 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 virtualizationA typo-tolerant, in-memory search engine optimized for instant search-as-you-type experiences and developer productivity
Primary database modelTime Series DBMS
Vector DBMS
Relational DBMSGraph DBMS
RDF store
Search engine
Secondary database modelsRelational DBMSDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.71
Rank#49  Overall
#2  Time Series DBMS
#1  Vector DBMS
Score76.78
Rank#16  Overall
#11  Relational DBMS
Score2.07
Rank#122  Overall
#11  Graph DBMS
#6  RDF stores
Score0.76
Rank#219  Overall
#14  Search engines
Websitekx.comazure.microsoft.com/­en-us/­products/­azure-sql/­databasewww.stardog.comtypesense.org
Technical documentationcode.kx.comdocs.microsoft.com/­en-us/­azure/­azure-sqldocs.stardog.comtypesense.org/­docs
DeveloperKx Systems, a division of First Derivatives plcMicrosoftStardog-Union
Initial release2000 infokdb was released 2000, kdb+ in 2003201020102015
Current release3.6, May 2018V127.3.0, May 2020
License infoCommercial or Open Sourcecommercial infofree 32-bit versioncommercialcommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/studentsOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageqC++JavaC++
Server operating systemsLinux
OS X
Solaris
Windows
hostedLinux
macOS
Windows
Linux
Data schemeyesyesschema-free and OWL/RDFS-schema supportschema-free infopre-defined schema optional
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 indexesyes infotable attribute 'grouped'yesyes infosupports real-time indexing in full-text and geospatialyes
SQL infoSupport of SQLSQL-like query language (q)yesYes, compatible with all major SQL variants through dedicated BI/SQL Serverno
APIs and other access methodsHTTP 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
RESTful HTTP API
Supported programming languagesC
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
.Net infocommunity maintained
Clojure infocommunity maintained
Dart infocommunity maintained
Go infocommunity maintained
Java infocommunity maintained
JavaScript
Perl infocommunity maintained
PHP
Python
Ruby
Rust infocommunity maintained
Swift infocommunity maintained
Server-side scripts infoStored proceduresuser defined functionsTransact SQLuser defined functions and aggregates, HTTP Server extensions in Javano
Triggersyes infowith viewsyesyes infovia event handlers
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes, with always 3 replicas availableMulti-source replication in HA-ClusterMulti-source replication using RAFT
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infosimilar paradigm used for internal processingnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency in HA-Cluster
Foreign keys infoReferential integrityyesyesyes inforelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDno
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.yesyesyes
User concepts infoAccess controlrights management via user accountsfine grained access rights according to SQL-standardAccess rights for users and roles
More information provided by the system vendor
KdbMicrosoft Azure SQL Database infoformerly SQL AzureStardogTypesense
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
KdbMicrosoft Azure SQL Database infoformerly SQL AzureStardogTypesense
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