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DBMS > IBM Db2 Event Store vs. Microsoft SQL Server vs. PouchDB vs. Rockset

System Properties Comparison IBM Db2 Event Store vs. Microsoft SQL Server vs. PouchDB vs. Rockset

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Editorial information provided by DB-Engines
NameIBM Db2 Event Store  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonPouchDB  Xexclude from comparisonRockset  Xexclude from comparison
DescriptionDistributed Event Store optimized for Internet of Things use casesMicrosofts flagship relational DBMSJavaScript DBMS with an API inspired by CouchDBA scalable, reliable search and analytics service in the cloud, built on RocksDB
Primary database modelEvent Store
Time Series DBMS
Relational DBMSDocument storeDocument store
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Relational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.39
Rank#262  Overall
#2  Event Stores
#21  Time Series DBMS
Score926.30
Rank#3  Overall
#3  Relational DBMS
Score3.48
Rank#98  Overall
#20  Document stores
Score0.56
Rank#234  Overall
#37  Document stores
Websitewww.ibm.com/­products/­db2-event-storewww.microsoft.com/­en-us/­sql-serverpouchdb.comrockset.com
Technical documentationwww.ibm.com/­support/­knowledgecenter/­en/­SSGNPV_2.0.0/­welcome.htmldocs.microsoft.com/­en-US/­sql/­sql-serverpouchdb.com/­guidesdocs.rockset.com
DeveloperIBMMicrosoftApache Software FoundationRockset
Initial release2017198920122019
Current release2.0SQL Server 2019, November 20197.1.1, June 2019
License infoCommercial or Open Sourcecommercial infofree developer edition availablecommercial inforestricted free version is availableOpen Sourcecommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++C++JavaScriptC++
Server operating systemsLinux infoLinux, macOS, Windows for the developer additionLinux
Windows
server-less, requires a JavaScript environment (browser, Node.js)hosted
Data schemeyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesnodynamic typing
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.noyesnono infoingestion from XML files supported
Secondary indexesnoyesyes infovia viewsall fields are automatically indexed
SQL infoSupport of SQLyes infothrough the embedded Spark runtimeyesnoRead-only SQL queries, including JOINs
APIs and other access methodsADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
HTTP REST infoonly for PouchDB Server
JavaScript API
HTTP REST
Supported programming languagesC
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
JavaScriptGo
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyesTransact SQL, .NET languages, R, Python and (with SQL Server 2019) JavaView functions in JavaScriptno
Triggersnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingtables can be distributed across several files (horizontal partitioning); sharding through federationSharding infowith a proxy-based framework, named couchdb-loungeAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesActive-active shard replicationyes, but depending on the SQL-Server EditionMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyEventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnono
Concurrency infoSupport for concurrent manipulation of dataNo - written data is immutableyesyes
Durability infoSupport for making data persistentYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardnoAccess rights for users and organizations can be defined via Rockset console

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More resources
IBM Db2 Event StoreMicrosoft SQL ServerPouchDBRockset
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