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DBMS > AlaSQL vs. Apache Drill vs. Firebase Realtime Database vs. MarkLogic vs. Microsoft Azure Data Explorer

System Properties Comparison AlaSQL vs. Apache Drill vs. Firebase Realtime Database vs. MarkLogic vs. Microsoft Azure Data Explorer

Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonApache Drill  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonMarkLogic  Xexclude from comparisonMicrosoft Azure Data Explorer  Xexclude from comparison
DescriptionJavaScript DBMS librarySchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Operational and transactional Enterprise NoSQL databaseFully managed big data interactive analytics platform
Primary database modelDocument store
Relational DBMS
Document store
Relational DBMS
Document storeDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Relational DBMS infocolumn oriented
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
Score1.95
Rank#127  Overall
#23  Document stores
#60  Relational DBMS
Score14.29
Rank#39  Overall
#6  Document stores
Score5.92
Rank#58  Overall
#10  Document stores
#1  Native XML DBMS
#1  RDF stores
#6  Search engines
Score4.38
Rank#77  Overall
#41  Relational DBMS
Websitealasql.orgdrill.apache.orgfirebase.google.com/­products/­realtime-databasewww.marklogic.comazure.microsoft.com/­services/­data-explorer
Technical documentationgithub.com/­AlaSQL/­alasqldrill.apache.org/­docsfirebase.google.com/­docs/­databasedocs.marklogic.comdocs.microsoft.com/­en-us/­azure/­data-explorer
DeveloperAndrey Gershun & Mathias R. WulffApache Software FoundationGoogle infoacquired by Google 2014MarkLogic Corp.Microsoft
Initial release20142012201220012019
Current release1.20.3, January 202311.0, December 2022cloud service with continuous releases
License infoCommercial or Open SourceOpen Source infoMIT-LicenseOpen Source infoApache Version 2commercialcommercial inforestricted free version is availablecommercial
Cloud-based only infoOnly available as a cloud servicenonoyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaScriptC++
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)Linux
OS X
Windows
hostedLinux
OS X
Windows
hosted
Data schemeschema-freeschema-freeschema-freeschema-free infoSchema can be enforcedFixed schema with schema-less datatypes (dynamic)
Typing infopredefined data types such as float or datenoyesyesyesyes infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-types
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.nononoyesyes
Secondary indexesnonoyesyesall fields are automatically indexed
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.SQL SELECT statement is SQL:2003 compliantnoyes infoSQL92Kusto Query Language (KQL), SQL subset
APIs and other access methodsJavaScript APIJDBC
ODBC
RESTful HTTP API
Android
iOS
JavaScript API
RESTful HTTP API
Java API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
Supported programming languagesJavaScriptC++Java
JavaScript
Objective-C
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
Server-side scripts infoStored proceduresnouser defined functionslimited functionality with using 'rules'yes infovia XQuery or JavaScriptYes, possible languages: KQL, Python, R
TriggersyesnoCallbacks are triggered when data changesyesyes infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicy
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesyes infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsSpark connector (open source): github.com/­Azure/­azure-kusto-spark
Consistency concepts infoMethods to ensure consistency in a distributed systemnonenoneEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate 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-storagenoyesACID infocan act as a resource manager in an XA/JTA transactionno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infoby using IndexedDB, SQL.JS or proprietary FileStorageDepending on the underlying data sourceyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesDepending on the underlying data sourceyes, with Range Indexesno
User concepts infoAccess controlnoDepending on the underlying data sourceyes, based on authentication and database rulesRole-based access control at the document and subdocument levelsAzure Active Directory Authentication

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More resources
AlaSQLApache DrillFirebase Realtime DatabaseMarkLogicMicrosoft Azure Data Explorer
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