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DBMS > Hypertable vs. Microsoft Azure Data Explorer vs. SQream DB

System Properties Comparison Hypertable vs. Microsoft Azure Data Explorer vs. SQream DB

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Editorial information provided by DB-Engines
NameHypertable  Xexclude from comparisonMicrosoft Azure Data Explorer  Xexclude from comparisonSQream DB  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionAn open source BigTable implementation based on distributed file systems such as HadoopFully managed big data interactive analytics platforma GPU-based, columnar RDBMS for big data analytics workloads
Primary database modelWide column storeRelational DBMS infocolumn orientedRelational 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
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.38
Rank#77  Overall
#41  Relational DBMS
Score0.70
Rank#227  Overall
#104  Relational DBMS
Websiteazure.microsoft.com/­services/­data-explorersqream.com
Technical documentationdocs.microsoft.com/­en-us/­azure/­data-explorerdocs.sqream.com
DeveloperHypertable Inc.MicrosoftSQream Technologies
Initial release200920192017
Current release0.9.8.11, March 2016cloud service with continuous releases2022.1.6, December 2022
License infoCommercial or Open SourceOpen Source infoGNU version 3. Commercial license availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++, CUDA, Haskell, Java, Scala
Server operating systemsLinux
OS X
Windows infoan inofficial Windows port is available
hostedLinux
Data schemeschema-freeFixed schema with schema-less datatypes (dynamic)yes
Typing infopredefined data types such as float or datenoyes infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesyes, ANSI Standard SQL Types
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.yes
Secondary indexesrestricted infoonly exact value or prefix value scansall fields are automatically indexedno
SQL infoSupport of SQLnoKusto Query Language (KQL), SQL subsetyes
APIs and other access methodsC++ API
Thrift
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
.Net
JDBC
ODBC
Supported programming languagesC++
Java
Perl
PHP
Python
Ruby
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoYes, possible languages: KQL, Python, Ruser defined functions in Python
Triggersnoyes infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud servicehorizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor on file system levelyes infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.none
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesSpark connector (open source): github.com/­Azure/­azure-kusto-sparkno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlnoAzure Active Directory Authentication

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More resources
HypertableMicrosoft Azure Data ExplorerSQream DB
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