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DBMS > Microsoft Azure Data Explorer vs. Rockset vs. SpatiaLite vs. Vitess

System Properties Comparison Microsoft Azure Data Explorer vs. Rockset vs. SpatiaLite vs. Vitess

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Editorial information provided by DB-Engines
NameMicrosoft Azure Data Explorer  Xexclude from comparisonRockset  Xexclude from comparisonSpatiaLite  Xexclude from comparisonVitess  Xexclude from comparison
DescriptionFully managed big data interactive analytics platformA scalable, reliable search and analytics service in the cloud, built on RocksDBSpatial extension of SQLiteScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelRelational DBMS infocolumn orientedDocument storeSpatial DBMSRelational 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
Search engine
Relational DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.80
Rank#81  Overall
#43  Relational DBMS
Score0.82
Rank#212  Overall
#36  Document stores
Score1.63
Rank#146  Overall
#3  Spatial DBMS
Score0.88
Rank#203  Overall
#95  Relational DBMS
Websiteazure.microsoft.com/­services/­data-explorerrockset.comwww.gaia-gis.it/­fossil/­libspatialite/­indexvitess.io
Technical documentationdocs.microsoft.com/­en-us/­azure/­data-explorerdocs.rockset.comwww.gaia-gis.it/­gaia-sins/­spatialite_topics.htmlvitess.io/­docs
DeveloperMicrosoftRocksetAlessandro FurieriThe Linux Foundation, PlanetScale
Initial release2019201920082013
Current releasecloud service with continuous releases5.0.0, August 202015.0.2, December 2022
License infoCommercial or Open SourcecommercialcommercialOpen Source infoMPL 1.1, GPL v2.0 or LGPL v2.1Open Source infoApache Version 2.0, commercial licenses available
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++Go
Server operating systemshostedhostedserver-lessDocker
Linux
macOS
Data schemeFixed schema with schema-less datatypes (dynamic)schema-freeyesyes
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-typesdynamic typingyesyes
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 infoingestion from XML files supportedno
Secondary indexesall fields are automatically indexedall fields are automatically indexedyesyes
SQL infoSupport of SQLKusto Query Language (KQL), SQL subsetRead-only SQL queries, including JOINsyesyes infowith proprietary extensions
APIs and other access methodsMicrosoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
HTTP RESTADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
Go
Java
JavaScript (Node.js)
Python
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresYes, possible languages: KQL, Python, Rnonoyes infoproprietary syntax
Triggersyes infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicynoyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceAutomatic shardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.yesnoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsSpark connector (open source): github.com/­Azure/­azure-kusto-sparknonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Eventual ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynonoyesyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlAzure Active Directory AuthenticationAccess rights for users and organizations can be defined via Rockset consolenoUsers with fine-grained authorization concept infono user groups or roles

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More resources
Microsoft Azure Data ExplorerRocksetSpatiaLiteVitess
DB-Engines blog posts

Spatial database management systems
6 April 2021, Matthias Gelbmann

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