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DBMS > AlaSQL vs. HBase vs. Microsoft Azure Data Explorer vs. OpenQM vs. PostgreSQL

System Properties Comparison AlaSQL vs. HBase vs. Microsoft Azure Data Explorer vs. OpenQM vs. PostgreSQL

Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonHBase  Xexclude from comparisonMicrosoft Azure Data Explorer  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparisonPostgreSQL  Xexclude from comparison
DescriptionJavaScript DBMS libraryWide-column store based on Apache Hadoop and on concepts of BigTableFully managed big data interactive analytics platformQpenQM is a high-performance, self-tuning, multi-value DBMSWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL
Primary database modelDocument store
Relational DBMS
Wide column storeRelational DBMS infocolumn orientedMultivalue DBMSRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.
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
Document store
Graph DBMS infowith Apache Age
Spatial DBMS
Vector DBMS infowith pgvector extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.46
Rank#260  Overall
#40  Document stores
#121  Relational DBMS
Score30.50
Rank#26  Overall
#2  Wide column stores
Score4.38
Rank#77  Overall
#41  Relational DBMS
Score0.27
Rank#298  Overall
#10  Multivalue DBMS
Score645.54
Rank#4  Overall
#4  Relational DBMS
Websitealasql.orghbase.apache.orgazure.microsoft.com/­services/­data-explorerwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qmwww.postgresql.org
Technical documentationgithub.com/­AlaSQL/­alasqlhbase.apache.org/­book.htmldocs.microsoft.com/­en-us/­azure/­data-explorerwww.postgresql.org/­docs
DeveloperAndrey Gershun & Mathias R. WulffApache Software Foundation infoApache top-level project, originally developed by PowersetMicrosoftRocket Software, originally Martin PhillipsPostgreSQL Global Development Group infowww.postgresql.org/­developer
Initial release20142008201919931989 info1989: Postgres, 1996: PostgreSQL
Current release2.3.4, January 2021cloud service with continuous releases3.4-1216.2, February 2024
License infoCommercial or Open SourceOpen Source infoMIT-LicenseOpen Source infoApache version 2commercialOpen Source infoGPLv2, extended commercial license availableOpen Source infoBSD
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Aiven for PostgreSQL: Fully managed PostgreSQL for developers with 70+ extensions and flexible orchestration tools.
Implementation languageJavaScriptJavaC
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)Linux
Unix
Windows infousing Cygwin
hostedAIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Data schemeschema-freeschema-free, schema definition possibleFixed schema with schema-less datatypes (dynamic)yes infowith some exceptionsyes
Typing infopredefined data types such as float or datenooptions to bring your own types, AVROyes 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.nonoyesyesyes infospecific XML-type available, but no XML query functionality.
Secondary indexesnonoall fields are automatically indexedyesyes
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.noKusto Query Language (KQL), SQL subsetnoyes infostandard with numerous extensions
APIs and other access methodsJavaScript APIJava API
RESTful HTTP API
Thrift
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesJavaScriptC
C#
C++
Groovy
Java
PHP
Python
Scala
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
.Net
Basic
C
Java
Objective C
PHP
Python
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresnoyes infoCoprocessors in JavaYes, possible languages: KQL, Python, Ryesuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.
Triggersyesyesyes infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infoImplicit feature of the cloud serviceyespartitioning by range, list and (since PostgreSQL 11) by hash
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication
Source-replica replication
yes infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.yesSource-replica replication infoother methods possible by using 3rd party extensions
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesSpark connector (open source): github.com/­Azure/­azure-kusto-sparknono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency or Eventual ConsistencyEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storageSingle row ACID (across millions of columns)noACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infoby using IndexedDB, SQL.JS or proprietary FileStorageyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnono
User concepts infoAccess controlnoAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACAzure Active Directory AuthenticationAccess rights can be defined down to the item levelfine grained access rights according to SQL-standard

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More resources
AlaSQLHBaseMicrosoft Azure Data ExplorerOpenQM infoalso called QMPostgreSQL
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