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DBMS > EsgynDB vs. Hyprcubd vs. Microsoft Azure Data Explorer vs. Microsoft Azure SQL Database vs. YTsaurus

System Properties Comparison EsgynDB vs. Hyprcubd vs. Microsoft Azure Data Explorer vs. Microsoft Azure SQL Database vs. YTsaurus

Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonHyprcubd  Xexclude from comparisonMicrosoft Azure Data Explorer  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonYTsaurus  Xexclude from comparison
Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionServerless Time Series DBMSFully managed big data interactive analytics platformDatabase as a Service offering with high compatibility to Microsoft SQL ServerYTsaurus is an open source platform for distributed storage and processing.
Primary database modelRelational DBMSTime Series DBMSRelational DBMS infocolumn orientedRelational DBMSDocument store
Key-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
Document store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score4.38
Rank#77  Overall
#41  Relational DBMS
Score77.99
Rank#16  Overall
#11  Relational DBMS
Score0.11
Rank#340  Overall
#45  Document stores
#50  Key-value stores
Websitewww.esgyn.cnhyprcubd.com (offline)azure.microsoft.com/­services/­data-explorerazure.microsoft.com/­en-us/­products/­azure-sql/­databaseytsaurus.tech
Technical documentationdocs.microsoft.com/­en-us/­azure/­data-explorerdocs.microsoft.com/­en-us/­azure/­azure-sqlytsaurus.tech/­docs/­en
DeveloperEsgynHyprcubd, Inc.MicrosoftMicrosoftYandex
Initial release2015201920102023
Current releasecloud service with continuous releasesV12
License infoCommercial or Open SourcecommercialcommercialcommercialcommercialOpen Source infoApache License, Version 2.0
Cloud-based only infoOnly available as a cloud servicenoyesyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++, JavaGoC++C++
Server operating systemsLinuxhostedhostedhostedUbuntu
Data schemeyesyesFixed schema with schema-less datatypes (dynamic)yes
Typing infopredefined data types such as float or dateyesyes infotime, int, uint, float, stringyes infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesyesyes
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.nonoyesyesno
Secondary indexesyesnoall fields are automatically indexedyes
SQL infoSupport of SQLyesSQL-like query languageKusto Query Language (KQL), SQL subsetyesYQL, an SQL-based language, is supported
APIs and other access methodsADO.NET
JDBC
ODBC
gRPC (https)Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
ADO.NET
JDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.Net.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
C++
Go
Java
JavaScript
Python
Server-side scripts infoStored proceduresJava Stored ProceduresnoYes, possible languages: KQL, Python, RTransact SQL
Triggersnonoyes infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud serviceSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersyes infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.yes, with always 3 replicas availableyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoSpark connector (open source): github.com/­Azure/­azure-kusto-sparknoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesnoyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlfine grained access rights according to SQL-standardtoken accessAzure Active Directory Authenticationfine grained access rights according to SQL-standardAccess Control Lists

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More resources
EsgynDBHyprcubdMicrosoft Azure Data ExplorerMicrosoft Azure SQL Database infoformerly SQL AzureYTsaurus
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