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DBMS > Kdb vs. Microsoft Azure Table Storage vs. Stardog vs. Tibero

System Properties Comparison Kdb vs. Microsoft Azure Table Storage vs. Stardog vs. Tibero

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Editorial information provided by DB-Engines
NameKdb  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonStardog  Xexclude from comparisonTibero  Xexclude from comparison
DescriptionHigh performance Time Series DBMSA Wide Column Store for rapid development using massive semi-structured datasetsEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualizationA secure RDBMS, designed for easy portability from Oracle
Primary database modelTime Series DBMS
Vector DBMS
Wide column storeGraph DBMS
RDF store
Relational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.55
Rank#53  Overall
#3  Time Series DBMS
#1  Vector DBMS
Score4.48
Rank#75  Overall
#6  Wide column stores
Score2.02
Rank#123  Overall
#11  Graph DBMS
#6  RDF stores
Score1.78
Rank#140  Overall
#64  Relational DBMS
Websitekx.comazure.microsoft.com/­en-us/­services/­storage/­tableswww.stardog.comus.tmaxsoft.com/­products/­tibero
Technical documentationcode.kx.comdocs.stardog.comtechnet.tmaxsoft.com/­upload/­download/­online/­tibero/­pver-20150504-000002/­index.html
DeveloperKx Systems, a division of First Derivatives plcMicrosoftStardog-UnionTmaxSoft
Initial release2000 infokdb was released 2000, kdb+ in 2003201220102003
Current release3.6, May 20187.3.0, May 20206, April 2015
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/studentscommercial
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageqJavaC and Assembler
Server operating systemsLinux
OS X
Solaris
Windows
hostedLinux
macOS
Windows
AIX
HP-UX
Linux
Solaris
Windows
Data schemeyesschema-freeschema-free and OWL/RDFS-schema supportyes
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.yesnono infoImport/export of XML data possibleyes
Secondary indexesyes infotable attribute 'grouped'noyes infosupports real-time indexing in full-text and geospatialyes
SQL infoSupport of SQLSQL-like query language (q)noYes, compatible with all major SQL variants through dedicated BI/SQL Serveryes
APIs and other access methodsHTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
RESTful HTTP APIGraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Tibero CLI
Supported programming languagesC
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
C
C#
C++
Cobol
Java
Objective-C
Perl
PHP
Python
Ruby
Visual Basic
Server-side scripts infoStored proceduresuser defined functionsnouser defined functions and aggregates, HTTP Server extensions in JavaPersistent Stored Procedure (PSM)
Triggersyes infowith viewsnoyes infovia event handlersyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding infoImplicit feature of the cloud servicenonehorizontal partitioning infoby range, hash, list or composite
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Multi-source replication in HA-ClusterMulti-source replication
Source-replica replication
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-ClusterImmediate Consistency
Foreign keys infoReferential integrityyesnoyes inforelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanooptimistic lockingACIDACID
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.yesnoyesno infoplanned for next version
User concepts infoAccess controlrights management via user accountsAccess rights based on private key authentication or shared access signaturesAccess rights for users and rolesfine grained access rights according to SQL-standard (SQL 92, SQL 99)
More information provided by the system vendor
KdbMicrosoft Azure Table StorageStardogTibero
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 Table StorageStardogTibero
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