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DBMS > AlaSQL vs. Firebase Realtime Database vs. Microsoft Azure Data Explorer vs. TDengine vs. Weaviate

System Properties Comparison AlaSQL vs. Firebase Realtime Database vs. Microsoft Azure Data Explorer vs. TDengine vs. Weaviate

Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonMicrosoft Azure Data Explorer  Xexclude from comparisonTDengine  Xexclude from comparisonWeaviate  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.Fully managed big data interactive analytics platformTime Series DBMS and big data platformAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelDocument store
Relational DBMS
Document storeRelational DBMS infocolumn orientedTime Series DBMSVector 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
Relational DBMS
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
Score4.38
Rank#77  Overall
#41  Relational DBMS
Score2.60
Rank#107  Overall
#8  Time Series DBMS
Score1.73
Rank#143  Overall
#5  Vector DBMS
Websitealasql.orgfirebase.google.com/­products/­realtime-databaseazure.microsoft.com/­services/­data-explorergithub.com/­taosdata/­TDengine
tdengine.com
github.com/­weaviate/­weaviate
weaviate.io
Technical documentationgithub.com/­AlaSQL/­alasqlfirebase.google.com/­docs/­databasedocs.microsoft.com/­en-us/­azure/­data-explorerdocs.tdengine.comweaviate.io/­developers/­weaviate
DeveloperAndrey Gershun & Mathias R. WulffGoogle infoacquired by Google 2014MicrosoftTDEngine, previously Taos DataWeaviate B.V.
Initial release20142012201920192019
Current releasecloud service with continuous releases3.0, August 20221.19, May 2023
License infoCommercial or Open SourceOpen Source infoMIT-LicensecommercialcommercialOpen Source infoAGPL V3, also commercial editions availableOpen Source infocommercial license available with Weaviate Enterprise
Cloud-based only infoOnly available as a cloud servicenoyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaScriptCGo
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)hostedhostedLinux
Windows
Data schemeschema-freeschema-freeFixed schema with schema-less datatypes (dynamic)yesyes, maps to GraphQL interface
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-typesyesyes infostring, int, float, geo point, date, cross reference, fuzzy references
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.nonoyesnono
Secondary indexesnoyesall fields are automatically indexednoyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.noKusto Query Language (KQL), SQL subsetStandard SQL with extensions for time-series applicationsGraphQL is used as query language
APIs and other access methodsJavaScript APIAndroid
iOS
JavaScript API
RESTful HTTP API
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
JDBC
RESTful HTTP API
GraphQL query language
RESTful HTTP/JSON API
Supported programming languagesJavaScriptJava
JavaScript
Objective-C
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresnolimited functionality with using 'rules'Yes, possible languages: KQL, Python, Rnono
TriggersyesCallbacks are triggered when data changesyes infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyyes, via alarm monitoringno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoImplicit feature of the cloud serviceShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.yesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoSpark 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
Eventual Consistency
Immediate Consistency
Eventual Consistency
Foreign keys infoReferential integrityyesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storageyesnono
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.yesnoyes
User concepts infoAccess controlnoyes, based on authentication and database rulesAzure Active Directory AuthenticationyesAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
AlaSQLFirebase Realtime DatabaseMicrosoft Azure Data ExplorerTDengineWeaviate
Specific characteristicsTDengine™ is a next generation data historian purpose-built for Industry 4.0 and...
» more
Weaviate is an open source vector database that is robust, scalable, cloud-native,...
» more
Competitive advantagesHigh Performance at any Scale: TDengine is purpose-built for handling massive industrial...
» more
Flexible deployment - Free, open source or fully-managed cloud vector database service...
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Typical application scenariosTDengine is designed for Industrial IoT scenarios, including: Manufacturing Connected...
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As a database supporting the development of generative AI and semantic search applications...
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Key customersAll companies that have data. ​
» more
Market metricsTDengine has garnered over 22,500 stars on GitHub and is used in over 50 countries...
» more
As of mid 2023: Over 2 million open source downloads 3500+ Weaviate Slack community...
» more
Licensing and pricing modelsTDengine OSS is an open source, cloud native time series database. It includes built-in...
» more
Weaviate is open-source, and free to use. Weaviate is also available as a fully managed...
» more
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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
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