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DBMS > AlaSQL vs. Apache Pinot vs. Microsoft Azure Data Explorer vs. Valentina Server

System Properties Comparison AlaSQL vs. Apache Pinot vs. Microsoft Azure Data Explorer vs. Valentina Server

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Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonApache Pinot  Xexclude from comparisonMicrosoft Azure Data Explorer  Xexclude from comparisonValentina Server  Xexclude from comparison
DescriptionJavaScript DBMS libraryRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyFully managed big data interactive analytics platformObject-relational database and reports server
Primary database modelDocument store
Relational DBMS
Relational 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
Score0.51
Rank#256  Overall
#40  Document stores
#118  Relational DBMS
Score0.38
Rank#275  Overall
#126  Relational DBMS
Score3.80
Rank#81  Overall
#43  Relational DBMS
Score0.21
Rank#325  Overall
#144  Relational DBMS
Websitealasql.orgpinot.apache.orgazure.microsoft.com/­services/­data-explorerwww.valentina-db.net
Technical documentationgithub.com/­AlaSQL/­alasqldocs.pinot.apache.orgdocs.microsoft.com/­en-us/­azure/­data-explorervalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperAndrey Gershun & Mathias R. WulffApache Software Foundation and contributorsMicrosoftParadigma Software
Initial release2014201520191999
Current release1.0.0, September 2023cloud service with continuous releases5.7.5
License infoCommercial or Open SourceOpen Source infoMIT-LicenseOpen Source infoApache Version 2.0commercialcommercial
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 languageJavaScriptJava
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)All OS with a Java JDK11 or higherhostedLinux
OS X
Windows
Data schemeschema-freeyesFixed schema with schema-less datatypes (dynamic)yes
Typing infopredefined data types such as float or datenoyesyes 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.noyes
Secondary indexesnoall fields are automatically indexedyes
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.SQL-like query languageKusto Query Language (KQL), SQL subsetyes
APIs and other access methodsJavaScript APIJDBCMicrosoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
ODBC
Supported programming languagesJavaScriptGo
Java
Python
.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 proceduresnoYes, 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 nodesnonehorizontal partitioningSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoSpark connector (open source): github.com/­Azure/­azure-kusto-sparkno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storageno
Concurrency infoSupport for concurrent manipulation of datayes
Durability infoSupport for making data persistentyes infoby using IndexedDB, SQL.JS or proprietary FileStorageyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlnoAzure Active Directory Authenticationfine grained access rights according to SQL-standard

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More resources
AlaSQLApache PinotMicrosoft Azure Data ExplorerValentina Server
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