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DBMS > Microsoft Azure Data Explorer vs. MongoDB vs. Weaviate

System Properties Comparison Microsoft Azure Data Explorer vs. MongoDB vs. Weaviate

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Editorial information provided by DB-Engines
NameMicrosoft Azure Data Explorer  Xexclude from comparisonMongoDB  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionFully managed big data interactive analytics platformOne of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructureA cloud-native, realtime vector search engine integrating scalable machine learning models
Primary database modelRelational DBMS infocolumn orientedDocument storeSearch engine
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
Spatial DBMS
Search engine infointegrated Lucene index, currently in MongoDB Atlas only.
Time Series DBMS infoTime Series Collections introduced in Release 5.0
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.34
Rank#60  Overall
#34  Relational DBMS
Score489.64
Rank#5  Overall
#1  Document stores
Score0.16
Rank#300  Overall
#20  Search engines
Websiteazure.microsoft.com/­services/­data-explorerwww.mongodb.comgithub.com/­semi-technologies/­weaviate
weaviate.io
Technical documentationdocs.microsoft.com/­en-us/­azure/­data-explorerdocs.mongodb.com/­manualweaviate.io/­developers/­weaviate/­current
DeveloperMicrosoftMongoDB, IncSeMI Technologies B.V.
Initial release201920092017
Current releasecloud service with continuous releases6.0.1, August 20221.0.3, January 2021
License infoCommercial or Open SourcecommercialOpen Source infoMongoDB Inc.'s Server Side Public License v1. Prior versions were published under GNU AGPL v3.0. Commercial licenses are also available.Open Source infocommercial license available with Weaviate Enterprise
Cloud-based only infoOnly available as a cloud serviceyesno infoMongoDB available as DBaaS (MongoDB Atlas)no
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
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Implementation languageC++Go
Server operating systemshostedLinux
OS X
Solaris
Windows
Data schemeFixed schema with schema-less datatypes (dynamic)schema-free infoAlthough schema-free, documents of the same collection often follow the same structure. Optionally impose all or part of a schema by defining a JSON schema.yes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyes infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesyes infostring, integer, double, decimal, boolean, date, object_id, geospatialyes 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.yesno
Secondary indexesall fields are automatically indexedyesyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLKusto Query Language (KQL), SQL subsetRead-only SQL queries via the MongoDB Connector for BIGraphQL is used as query language
APIs and other access methodsMicrosoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
proprietary protocol using JSONGraphQL query language
RESTful HTTP/JSON API
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
Actionscript infounofficial driver
C
C#
C++
Clojure infounofficial driver
ColdFusion infounofficial driver
D infounofficial driver
Dart infounofficial driver
Delphi infounofficial driver
Erlang
Go
Groovy infounofficial driver
Haskell
Java
JavaScript
Lisp infounofficial driver
Lua infounofficial driver
MatLab infounofficial driver
Perl
PHP
PowerShell infounofficial driver
Prolog infounofficial driver
Python
R infounofficial driver
Ruby
Rust
Scala
Smalltalk infounofficial driver
Swift
Server-side scripts infoStored proceduresYes, possible languages: KQL, Python, RJavaScriptno
Triggersyes infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyyes infoin MongoDB Atlas onlyno
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceSharding infoPartitioned by hashed, ranged, or zoned sharding keys. Live resharding allows users to change their shard keys as an online operation with zero downtime.Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Multi-Source deployments with MongoDB Atlas Global Clusters
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsSpark connector (open source): github.com/­Azure/­azure-kusto-sparkyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Eventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Eventual Consistency
Foreign keys infoReferential integritynono infotypically not used, however similar functionality with DBRef possibleno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoMulti-document ACID Transactions with snapshot isolationno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infooptional, enabled by defaultyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoIn-memory storage engine introduced with MongoDB version 3.2no
User concepts infoAccess controlAzure Active Directory AuthenticationAccess rights for users and rolesOpenID Connect Discovery
More information provided by the system vendor
Microsoft Azure Data ExplorerMongoDBWeaviate
Specific characteristicsAzure Data Explorer is a fast and highly scalable data exploration service for log...
» more
MongoDB’s application data platform provides developers a unified interface to power...
» more
Competitive advantagesKusto Query Language (innovative query language, optimized for high performance data...
» more
The MongoDB platform can be used by developers building transactional, operational,...
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Typical application scenariosIoT applications IoT devices generate billions of sensor readings. Normalizing and...
» more
Internet of Things and Time Series (Bosch, Jaguar Land Rover) Mobile (The Weather...
» more
As a stand-alone vector search engine, or use one of the many modules (transformers,...
» more
Key customersMicrosoft, DocuSign, Taboola, Bosch, Siemens Healthineers, Bühler, Ecolab, Zoomd
» more
ADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...
» more
A ll companies that have data. ​
» more
Market metricsAzure Data Explorer is the data service for Azure Monitor, Azure Time Series Insights,...
» more
200+ million downloads, over 1.5M Atlas database clusters under management handling...
» more
Licensing and pricing modelsAn Azure Data Explorer cluster is a pair of engine and data management clusters which...
» more
MongoDB database server: Server-Side Public License (SSPL) . Commercial licenses...
» more
Weaviate is open-source, and free to use. We also offer Fully managed Weaviate on...
» more
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We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
Microsoft Azure Data ExplorerMongoDBWeaviate
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Recent citations in the news

Azure Data Explorer Supports Native Ingestion from Amazon S3
7 September 2022, InfoQ.com

New Azure for Operators solution accelerator offers a fast path to network insights
27 September 2022, Microsoft

IoT Bridge for Microsoft Azure from Cirrus Link to Connect OT Data to Microsoft Azure
22 September 2022, ARC Advisory Group

Uptake Fusion to Support Microsoft Azure Data Explorer
1 March 2022, PR Newswire

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1 September 2022, Petri.com

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Can MongoDB (MDB) make money from databases? | by Daniel G. Jennings | Sep, 2022
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Why Is MongoDB Still Unprofitable?
2 September 2022, The Motley Fool

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14 September 2022, InformationWeek

MongoDB Inc: Major Drivers
28 September 2022, Smartkarma

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31 August 2022, Business Wire

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SeMI Technologies introduces an all-new business model for vector search
1 September 2022, PR Newswire UK

Amsterdam-based startup SeMI Technologies raises €14.1M for its open-source vector search engine Weaviate
23 February 2022, Silicon Canals

SeMI Technologies’ search engine opens up new ways to query your data
22 February 2022, TechCrunch

Getting Started with the Weaviate Vector Search Engine
18 May 2020, hackernoon.com

Weaviate Is A Search Engine For Vector Embeddings
11 May 2020, hackernoon.com

provided by Google News

Job opportunities

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