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DBMS > AlaSQL vs. Firebase Realtime Database vs. HBase vs. Microsoft Azure Data Explorer vs. openGemini

System Properties Comparison AlaSQL vs. Firebase Realtime Database vs. HBase vs. Microsoft Azure Data Explorer vs. openGemini

Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonHBase  Xexclude from comparisonMicrosoft Azure Data Explorer  Xexclude from comparisonopenGemini  Xexclude from comparison
DescriptionJavaScript DBMS libraryCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Wide-column store based on Apache Hadoop and on concepts of BigTableFully managed big data interactive analytics platformAn open source distributed Time Series DBMS with high concurrency, high performance, and high scalability
Primary database modelDocument store
Relational DBMS
Document storeWide column storeRelational DBMS infocolumn orientedTime Series 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
Score0.46
Rank#260  Overall
#40  Document stores
#121  Relational DBMS
Score14.29
Rank#39  Overall
#6  Document stores
Score30.50
Rank#26  Overall
#2  Wide column stores
Score4.38
Rank#77  Overall
#41  Relational DBMS
Score0.01
Rank#375  Overall
#39  Time Series DBMS
Websitealasql.orgfirebase.google.com/­products/­realtime-databasehbase.apache.orgazure.microsoft.com/­services/­data-explorerwww.opengemini.org
github.com/­openGemini
Technical documentationgithub.com/­AlaSQL/­alasqlfirebase.google.com/­docs/­databasehbase.apache.org/­book.htmldocs.microsoft.com/­en-us/­azure/­data-explorerdocs.opengemini.org/­guide
DeveloperAndrey Gershun & Mathias R. WulffGoogle infoacquired by Google 2014Apache Software Foundation infoApache top-level project, originally developed by PowersetMicrosoftHuawei and openGemini community
Initial release20142012200820192022
Current release2.3.4, January 2021cloud service with continuous releases1.1, July 2023
License infoCommercial or Open SourceOpen Source infoMIT-LicensecommercialOpen Source infoApache version 2commercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaScriptJavaGo
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)hostedLinux
Unix
Windows infousing Cygwin
hostedLinux
Windows
Data schemeschema-freeschema-freeschema-free, schema definition possibleFixed schema with schema-less datatypes (dynamic)schema-free
Typing infopredefined data types such as float or datenoyesoptions 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-typesInteger, Float, Boolean, String
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.nononoyesno
Secondary indexesnoyesnoall fields are automatically indexedyes
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.nonoKusto Query Language (KQL), SQL subsetSQL-like query language
APIs and other access methodsJavaScript APIAndroid
iOS
JavaScript API
RESTful HTTP API
Java API
RESTful HTTP API
Thrift
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
HTTP REST
Supported programming languagesJavaScriptJava
JavaScript
Objective-C
C
C#
C++
Groovy
Java
PHP
Python
Scala
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
C
C++
Go
Java
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresnolimited functionality with using 'rules'yes infoCoprocessors in JavaYes, possible languages: KQL, Python, Rno
TriggersyesCallbacks are triggered when data changesyesyes infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infoImplicit feature of the cloud serviceSharding
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.yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesSpark connector (open source): github.com/­Azure/­azure-kusto-sparkno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate Consistency or Eventual ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storageyesSingle row ACID (across millions of columns)nono
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.yesyesnoyes
User concepts infoAccess controlnoyes, based on authentication and database rulesAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACAzure Active Directory AuthenticationAdministrators and common users accounts

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More resources
AlaSQLFirebase Realtime DatabaseHBaseMicrosoft Azure Data ExploreropenGemini
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