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DBMS > Microsoft Azure Data Explorer vs. Snowflake vs. Solr vs. Sphinx vs. STSdb

System Properties Comparison Microsoft Azure Data Explorer vs. Snowflake vs. Solr vs. Sphinx vs. STSdb

Editorial information provided by DB-Engines
NameMicrosoft Azure Data Explorer  Xexclude from comparisonSnowflake  Xexclude from comparisonSolr  Xexclude from comparisonSphinx  Xexclude from comparisonSTSdb  Xexclude from comparison
DescriptionFully managed big data interactive analytics platformCloud-based data warehousing service for structured and semi-structured dataA widely used distributed, scalable search engine based on Apache LuceneOpen source search engine for searching in data from different sources, e.g. relational databasesKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelRelational DBMS infocolumn orientedRelational DBMSSearch engineSearch engineKey-value store
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
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.38
Rank#77  Overall
#41  Relational DBMS
Score121.33
Rank#9  Overall
#6  Relational DBMS
Score42.91
Rank#24  Overall
#3  Search engines
Score5.98
Rank#56  Overall
#5  Search engines
Score0.04
Rank#360  Overall
#52  Key-value stores
Websiteazure.microsoft.com/­services/­data-explorerwww.snowflake.comsolr.apache.orgsphinxsearch.comgithub.com/­STSSoft/­STSdb4
Technical documentationdocs.microsoft.com/­en-us/­azure/­data-explorerdocs.snowflake.net/­manuals/­index.htmlsolr.apache.org/­resources.htmlsphinxsearch.com/­docs
DeveloperMicrosoftSnowflake Computing Inc.Apache Software FoundationSphinx Technologies Inc.STS Soft SC
Initial release20192014200620012011
Current releasecloud service with continuous releases9.6.0, April 20243.5.1, February 20234.0.8, September 2015
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2Open Source infoGPL version 2, commercial licence availableOpen Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C#
Server operating systemshostedhostedAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Windows
Data schemeFixed schema with schema-less datatypes (dynamic)yes infosupport of semi-structured data formats (JSON, XML, Avro)yes infoDynamic Fields enables on-the-fly addition of new fieldsyesyes
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-typesyesyes infosupports customizable data types and automatic typingnoyes infoprimitive types and user defined types (classes)
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.yesyesyes
Secondary indexesall fields are automatically indexedyes infoAll search fields are automatically indexedyes infofull-text index on all search fieldsno
SQL infoSupport of SQLKusto Query Language (KQL), SQL subsetyesSolr Parallel SQL InterfaceSQL-like query language (SphinxQL)no
APIs and other access methodsMicrosoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
CLI Client
JDBC
ODBC
Java API
RESTful HTTP/JSON API
Proprietary protocol.NET Client API
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
JavaScript (Node.js)
Python
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C#
Java
Server-side scripts infoStored proceduresYes, possible languages: KQL, Python, Ruser defined functionsJava pluginsnono
Triggersyes infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyno infosimilar concept for controling cloud resourcesyes infoUser configurable commands triggered on index changesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceyesShardingSharding infoPartitioning is done manually, search queries against distributed index is supportednone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.yesyesnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsSpark connector (open source): github.com/­Azure/­azure-kusto-sparknospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDoptimistic lockingnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlAzure Active Directory AuthenticationUsers with fine-grained authorization concept, user roles and pluggable authenticationyesnono

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Microsoft Azure Data ExplorerSnowflakeSolrSphinxSTSdb
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