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DBMS > Fujitsu Enterprise Postgres vs. IBM Db2 Event Store vs. Microsoft SQL Server vs. Rockset

System Properties Comparison Fujitsu Enterprise Postgres vs. IBM Db2 Event Store vs. Microsoft SQL Server vs. Rockset

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Editorial information provided by DB-Engines
NameFujitsu Enterprise Postgres  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonRockset  Xexclude from comparison
DescriptionEnterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.Distributed Event Store optimized for Internet of Things use casesMicrosofts flagship relational DBMSA scalable, reliable search and analytics service in the cloud, built on RocksDB
Primary database modelRelational DBMSEvent Store
Time Series DBMS
Relational DBMSDocument store
Secondary database modelsDocument store
Spatial DBMS
Document store
Graph DBMS
Spatial DBMS
Relational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.19
Rank#323  Overall
#146  Relational DBMS
Score0.39
Rank#276  Overall
#2  Event Stores
#21  Time Series DBMS
Score924.68
Rank#3  Overall
#3  Relational DBMS
Score0.76
Rank#226  Overall
#34  Document stores
Websitefast.fujitsu.comwww.ibm.com/­products/­db2-event-storewww.microsoft.com/­en-us/­sql-serverrockset.com
Technical documentationfast.fujitsu.com/­product-manualswww.ibm.com/­support/­knowledgecenter/­en/­SSGNPV_2.0.0/­welcome.htmldocs.microsoft.com/­en-US/­sql/­sql-serverdocs.rockset.com
DeveloperPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyIBMMicrosoftRockset
Initial release201719892019
Current releaseFujitsu Enterprise Postgres 14, January 20222.0SQL Server 2019, November 2019
License infoCommercial or Open Sourcecommercialcommercial infofree developer edition availablecommercial inforestricted free version is availablecommercial
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 languageCC and C++C++C++
Server operating systemsLinux
Windows
Linux infoLinux, macOS, Windows for the developer additionLinux
Windows
hosted
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesdynamic 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.noyesno infoingestion from XML files supported
Secondary indexesyesnoyesall fields are automatically indexed
SQL infoSupport of SQLyesyes infothrough the embedded Spark runtimeyesRead-only SQL queries, including JOINs
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
HTTP REST
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C
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
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functionsyesTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javano
Triggersyesnoyesno
Partitioning methods infoMethods for storing different data on different nodespartitioning by range, list and by hashShardingtables can be distributed across several files (horizontal partitioning); sharding through federationAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationActive-active shard replicationyes, but depending on the SQL-Server Editionyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)No - written data is immutableyesyes
Durability infoSupport for making data persistentyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardAccess rights for users and organizations can be defined via Rockset console
More information provided by the system vendor
Fujitsu Enterprise PostgresIBM Db2 Event StoreMicrosoft SQL ServerRockset
Specific characteristics100% compatible with community PostgreSQL
» more
Competitive advantagesBuilt-in TDE and Data Masking security. In-Memory Columnar Index, and a high speed...
» more
Typical application scenariosTransactional payments applications, reporting and mixed workloads.
» more
Market metricsOver 30 years experience in database technology. Over 20 years in Postgres development...
» more
Licensing and pricing modelsCore based licensing
» more

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More resources
Fujitsu Enterprise PostgresIBM Db2 Event StoreMicrosoft SQL ServerRockset
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