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DBMS > IBM Db2 warehouse vs. Microsoft SQL Server vs. Snowflake vs. SQream DB vs. Vertica

System Properties Comparison IBM Db2 warehouse vs. Microsoft SQL Server vs. Snowflake vs. SQream DB vs. Vertica

Editorial information provided by DB-Engines
NameIBM Db2 warehouse infoformerly named IBM dashDB  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonSnowflake  Xexclude from comparisonSQream DB  Xexclude from comparisonVertica infoOpenText™ Vertica™  Xexclude from comparison
DescriptionCloud-based data warehousing serviceMicrosofts flagship relational DBMSCloud-based data warehousing service for structured and semi-structured dataa GPU-based, columnar RDBMS for big data analytics workloadsCloud or off-cloud analytical database and query engine for structured and semi-structured streaming and batch data. Machine learning platform with built-in algorithms, data preparation capabilities, and model evaluation and management via SQL or Python.
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMSRelational DBMS infoColumn oriented
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.30
Rank#164  Overall
#75  Relational DBMS
Score824.29
Rank#3  Overall
#3  Relational DBMS
Score121.33
Rank#9  Overall
#6  Relational DBMS
Score0.70
Rank#227  Overall
#104  Relational DBMS
Score10.68
Rank#43  Overall
#27  Relational DBMS
Websitewww.ibm.com/­products/­db2/­warehousewww.microsoft.com/­en-us/­sql-serverwww.snowflake.comsqream.comwww.vertica.com
Technical documentationlearn.microsoft.com/­en-US/­sql/­sql-serverdocs.snowflake.net/­manuals/­index.htmldocs.sqream.comvertica.com/­documentation
DeveloperIBMMicrosoftSnowflake Computing Inc.SQream TechnologiesOpenText infopreviously Micro Focus and Hewlett Packard
Initial release20141989201420172005
Current releaseSQL Server 2022, November 20222022.1.6, December 202212.0.3, January 2023
License infoCommercial or Open Sourcecommercialcommercial inforestricted free version is availablecommercialcommercialcommercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud serviceyesnoyesnono infoon-premises, all major clouds - Amazon AWS, Microsoft Azure, Google Cloud Platform and containers
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++, CUDA, Haskell, Java, ScalaC++
Server operating systemshostedLinux
Windows
hostedLinuxLinux
Data schemeyesyesyes infosupport of semi-structured data formats (JSON, XML, Avro)yesYes, but also semi-structure/unstructured data storage, and complex hierarchical data (like Parquet) stored and/or queried.
Typing infopredefined data types such as float or dateyesyesyesyes, ANSI Standard SQL Typesyes
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.no infoImport/export of XML data possibleyesyesno
Secondary indexesyesyesnoNo Indexes Required. Different internal optimization strategy, but same functionality included.
SQL infoSupport of SQLyesyesyesyesFull 1999 standard plus machine learning, time series and geospatial. Over 650 functions.
APIs and other access methods.NET Client API
JDBC
ODBC
OLE DB
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
CLI Client
JDBC
ODBC
.Net
JDBC
ODBC
ADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL infocharacter-based, interactive, front-end utility
Supported programming languagesJava
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
JavaScript (Node.js)
Python
C++
Java
JavaScript (Node.js)
Python
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Server-side scripts infoStored proceduresPL/SQL, SQL PLTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javauser defined functionsuser defined functions in Pythonyes, PostgreSQL PL/pgSQL, with minor differences
Triggersyesyesno infosimilar concept for controling cloud resourcesnoyes, called Custom Alerts
Partitioning methods infoMethods for storing different data on different nodesShardingtables can be distributed across several files (horizontal partitioning); sharding through federationyeshorizontal and vertical partitioninghorizontal partitioning, hierarchical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes, but depending on the SQL-Server EditionyesnoneMulti-source replication infoOne, or more copies of data replicated across nodes, or object-store used for repository.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono infoBi-directional Spark integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.yesyesnono
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardUsers with fine-grained authorization concept, user roles and pluggable authenticationfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
More information provided by the system vendor
IBM Db2 warehouse infoformerly named IBM dashDBMicrosoft SQL ServerSnowflakeSQream DBVertica infoOpenText™ Vertica™
Specific characteristicsDeploy-anywhere database for large-scale analytical deployments. Deploy off-cloud,...
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Competitive advantagesFast, scalable, and capable of high concurrency. Separation of compute/storage leverages...
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Typical application scenariosCommunication and network analytics, Embedded analytics, Fraud monitoring and Risk...
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Key customersAbiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
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Licensing and pricing modelsCost-based models and subscription-based models are both available. One license is...
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More resources
IBM Db2 warehouse infoformerly named IBM dashDBMicrosoft SQL ServerSnowflakeSQream DBVertica infoOpenText™ Vertica™
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