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DBMS > Interbase vs. Kyligence Enterprise vs. Microsoft Azure Data Explorer vs. Valentina Server

System Properties Comparison Interbase vs. Kyligence Enterprise vs. Microsoft Azure Data Explorer vs. Valentina Server

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Editorial information provided by DB-Engines
NameInterbase  Xexclude from comparisonKyligence Enterprise  Xexclude from comparisonMicrosoft Azure Data Explorer  Xexclude from comparisonValentina Server  Xexclude from comparison
DescriptionLight-weight proven RDBMS infooriginally from BorlandA distributed analytics engine for big data, built on top of Apache KylinFully managed big data interactive analytics platformObject-relational database and reports server
Primary database modelRelational DBMSRelational DBMSRelational DBMS infocolumn orientedRelational DBMS
Secondary database modelsDocument store infoIf a column is of type dynamic docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-types/­dynamic then it's possible to add arbitrary JSON documents in this cell
Event Store infothis is the general usage pattern at Microsoft. Billing, Logs, Telemetry events are stored in ADX and the state of an individual entity is defined by the arg_max(timestamps)
Spatial DBMS
Search engine infosupport for complex search expressions docs.microsoft.com/­en-us/­azure/­kusto/­query/­parseoperator FTS, Geospatial docs.microsoft.com/­en-us/­azure/­kusto/­query/­geo-point-to-geohash-function distributed search -> ADX acts as a distributed search engine
Time Series DBMS infosee docs.microsoft.com/­en-us/­azure/­data-explorer/­time-series-analysis
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.61
Rank#72  Overall
#39  Relational DBMS
Score0.40
Rank#269  Overall
#124  Relational DBMS
Score4.38
Rank#77  Overall
#41  Relational DBMS
Score0.17
Rank#327  Overall
#145  Relational DBMS
Websitewww.embarcadero.com/­products/­interbasekyligence.io/­kyligence-enterpriseazure.microsoft.com/­services/­data-explorerwww.valentina-db.net
Technical documentationdocs.embarcadero.com/­products/­interbasedocs.microsoft.com/­en-us/­azure/­data-explorervalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperEmbarcaderoKyligence, Inc.MicrosoftParadigma Software
Initial release1984201620191999
Current releaseInterBase 2020, December 2019cloud service with continuous releases5.7.5
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercial
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 languageCJava
Server operating systemsAndroid
iOS
Linux
OS X
Windows
LinuxhostedLinux
OS X
Windows
Data schemeyesyesFixed schema with schema-less datatypes (dynamic)yes
Typing infopredefined data types such as float or dateyesyesyes infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesyes
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.no infoexport as XML data possiblenoyes
Secondary indexesyesyesall fields are automatically indexedyes
SQL infoSupport of SQLyesANSI SQL for queries (using Apache Calcite)Kusto Query Language (KQL), SQL subsetyes
APIs and other access methodsADO.NET
JDBC
ODBC
JDBC
ODBC
RESTful HTTP API
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
ODBC
Supported programming languages.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresyes infoInterbase procedure and trigger languageYes, possible languages: KQL, Python, Ryes
Triggersyesyes infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesInterbase Change Viewsyes infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesSpark connector (open source): github.com/­Azure/­azure-kusto-sparkno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno
Concurrency infoSupport for concurrent manipulation of datayes infoMultiversion concurreny controlyesyes
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.yesnonoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAzure Active Directory Authenticationfine grained access rights according to SQL-standard

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More resources
InterbaseKyligence EnterpriseMicrosoft Azure Data ExplorerValentina Server
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