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DBMS > Microsoft SQL Server vs. Oracle Berkeley DB vs. Riak KV vs. Snowflake

System Properties Comparison Microsoft SQL Server vs. Oracle Berkeley DB vs. Riak KV vs. Snowflake

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Editorial information provided by DB-Engines
NameMicrosoft SQL Server  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonRiak KV  Xexclude from comparisonSnowflake  Xexclude from comparison
DescriptionMicrosofts flagship relational DBMSWidely used in-process key-value storeDistributed, fault tolerant key-value storeCloud-based data warehousing service for structured and semi-structured data
Primary database modelRelational DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Key-value store infowith links between data sets and object tags for the creation of secondary indexesRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score941.20
Rank#3  Overall
#3  Relational DBMS
Score2.77
Rank#109  Overall
#20  Key-value stores
#3  Native XML DBMS
Score6.63
Rank#64  Overall
#8  Key-value stores
Score93.51
Rank#14  Overall
#9  Relational DBMS
Websitewww.microsoft.com/­en-us/­sql-serverwww.oracle.com/­technetwork/­database/­database-technologies/­berkeleydb/­overview/­index.htmlriak.com/­products/­riak-kvwww.snowflake.com
Technical documentationdocs.microsoft.com/­en-US/­sql/­sql-serverdocs.oracle.com/­cd/­E17076_05/­html/­index.htmldocs.snowflake.net/­manuals/­index.html
DeveloperMicrosoftOracle infooriginally developed by Sleepycat, which was acquired by OracleBasho TechnologiesSnowflake Computing Inc.
Initial release1989199420092014
Current releaseSQL Server 2019, November 201918.1.40, May 20202.1.0, April 2015
License infoCommercial or Open Sourcecommercial inforestricted free version is availableOpen Source infocommercial license availableOpen Source infoApache version 2, commercial enterprise editioncommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C, Java, C++ (depending on the Berkeley DB edition)Erlang
Server operating systemsLinux
Windows
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Linux
OS X
hosted
Data schemeyesschema-freeschema-freeyes infosupport of semi-structured data formats (JSON, XML, Avro)
Typing infopredefined data types such as float or dateyesnonoyes
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.yesyes infoonly with the Berkeley DB XML editionnoyes
Secondary indexesyesyesrestricted
SQL infoSupport of SQLyesyes infoSQL interfaced based on SQLite is availablenoyes
APIs and other access methodsADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
HTTP API
Native Erlang Interface
CLI Client
JDBC
ODBC
Supported programming languagesC#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresTransact SQL, .NET languages, R, Python and (with SQL Server 2019) JavanoJavaScript and Erlanguser defined functions
Triggersyesyes infoonly for the SQL APIyes infopre-commit hooks and post-commit hooksno infosimilar concept for controling cloud resources
Partitioning methods infoMethods for storing different data on different nodestables can be distributed across several files (horizontal partitioning); sharding through federationnoneSharding infono "single point of failure"yes
Replication methods infoMethods for redundantly storing data on multiple nodesyes, but depending on the SQL-Server EditionSource-replica replicationselectable replication factoryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnono infolinks between data sets can be storedyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
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.yesyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardnonoUsers with fine-grained authorization concept, user roles and pluggable authentication

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More resources
Microsoft SQL ServerOracle Berkeley DBRiak KVSnowflake
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