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DBMS > Microsoft Azure Data Explorer vs. Rockset vs. Sequoiadb vs. Valentina Server

System Properties Comparison Microsoft Azure Data Explorer vs. Rockset vs. Sequoiadb vs. Valentina Server

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Editorial information provided by DB-Engines
NameMicrosoft Azure Data Explorer  Xexclude from comparisonRockset  Xexclude from comparisonSequoiadb  Xexclude from comparisonValentina Server  Xexclude from comparison
DescriptionFully managed big data interactive analytics platformA scalable, reliable search and analytics service in the cloud, built on RocksDBNewSQL database with distributed OLTP and SQLObject-relational database and reports server
Primary database modelRelational DBMS infocolumn orientedDocument storeDocument store
Relational DBMS
Relational 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
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.38
Rank#77  Overall
#41  Relational DBMS
Score0.79
Rank#211  Overall
#35  Document stores
Score0.45
Rank#261  Overall
#41  Document stores
#122  Relational DBMS
Score0.17
Rank#327  Overall
#145  Relational DBMS
Websiteazure.microsoft.com/­services/­data-explorerrockset.comwww.sequoiadb.comwww.valentina-db.net
Technical documentationdocs.microsoft.com/­en-us/­azure/­data-explorerdocs.rockset.comwww.sequoiadb.com/­en/­index.php?m=Files&a=indexvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperMicrosoftRocksetSequoiadb Ltd.Paradigma Software
Initial release2019201920131999
Current releasecloud service with continuous releases5.7.5
License infoCommercial or Open SourcecommercialcommercialOpen Source infoServer: AGPL; Client: Apache V2commercial
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++
Server operating systemshostedhostedLinuxLinux
OS X
Windows
Data schemeFixed schema with schema-less datatypes (dynamic)schema-freeschema-freeyes
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 typingyes infooid, date, timestamp, binary, regexyes
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 JOINsSQL-like query languageyes
APIs and other access methodsMicrosoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
HTTP RESTproprietary protocol using JSONODBC
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
Go
Java
JavaScript (Node.js)
Python
.Net
C++
Java
PHP
Python
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresYes, possible languages: KQL, Python, RnoJavaScriptyes
Triggersyes infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicynonoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceAutomatic shardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.yesSource-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
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoDocument is locked during a transaction
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.nonoyes
User concepts infoAccess controlAzure Active Directory AuthenticationAccess rights for users and organizations can be defined via Rockset consolesimple password-based access controlfine grained access rights according to SQL-standard

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More resources
Microsoft Azure Data ExplorerRocksetSequoiadbValentina Server
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