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DBMS > BigObject vs. Hypertable vs. Microsoft SQL Server vs. Snowflake

System Properties Comparison BigObject vs. Hypertable vs. Microsoft SQL Server vs. Snowflake

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Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonHypertable  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonSnowflake  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionAnalytic DBMS for real-time computations and queriesAn open source BigTable implementation based on distributed file systems such as HadoopMicrosofts flagship relational DBMSCloud-based data warehousing service for structured and semi-structured data
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedWide column storeRelational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#333  Overall
#147  Relational DBMS
Score824.29
Rank#3  Overall
#3  Relational DBMS
Score121.33
Rank#9  Overall
#6  Relational DBMS
Websitebigobject.iowww.microsoft.com/­en-us/­sql-serverwww.snowflake.com
Technical documentationdocs.bigobject.iolearn.microsoft.com/­en-US/­sql/­sql-serverdocs.snowflake.net/­manuals/­index.html
DeveloperBigObject, Inc.Hypertable Inc.MicrosoftSnowflake Computing Inc.
Initial release2015200919892014
Current release0.9.8.11, March 2016SQL Server 2022, November 2022
License infoCommercial or Open Sourcecommercial infofree community edition availableOpen Source infoGNU version 3. Commercial license availablecommercial inforestricted free version is availablecommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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SQLServer Flex @ STACKIT offers a managed version of SQL Server with adjustable CPU, RAM, storage amount and speed, in enterprise grade to perfectly match all application requirements. All services are 100% GDPR-compliant.
Implementation languageC++C++
Server operating systemsLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
Linux
OS X
Windows infoan inofficial Windows port is available
Linux
Windows
hosted
Data schemeyesschema-freeyesyes infosupport of semi-structured data formats (JSON, XML, Avro)
Typing infopredefined data types such as float or dateyesnoyesyes
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.noyesyes
Secondary indexesyesrestricted infoonly exact value or prefix value scansyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnoyesyes
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
C++ API
Thrift
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
CLI Client
JDBC
ODBC
Supported programming languagesC++
Java
Perl
PHP
Python
Ruby
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresLuanoTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javauser defined functions
Triggersnonoyesno infosimilar concept for controling cloud resources
Partitioning methods infoMethods for storing different data on different nodesnoneShardingtables can be distributed across several files (horizontal partitioning); sharding through federationyes
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factor on file system levelyes, but depending on the SQL-Server Editionyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yesyesyes
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.yesyesno
User concepts infoAccess controlnonofine grained access rights according to SQL-standardUsers with fine-grained authorization concept, user roles and pluggable authentication

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More resources
BigObjectHypertableMicrosoft SQL ServerSnowflake
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