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DBMS > Fujitsu Enterprise Postgres vs. IBM Db2 Event Store vs. LMDB vs. Microsoft Azure SQL Database

System Properties Comparison Fujitsu Enterprise Postgres vs. IBM Db2 Event Store vs. LMDB vs. Microsoft Azure SQL Database

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Editorial information provided by DB-Engines
NameFujitsu Enterprise Postgres  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonLMDB  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  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 casesA high performant, light-weight, embedded key-value database libraryDatabase as a Service offering with high compatibility to Microsoft SQL Server
Primary database modelRelational DBMSEvent Store
Time Series DBMS
Key-value storeRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Document store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.31
Rank#285  Overall
#129  Relational DBMS
Score0.19
Rank#323  Overall
#2  Event Stores
#28  Time Series DBMS
Score1.99
Rank#125  Overall
#21  Key-value stores
Score77.99
Rank#16  Overall
#11  Relational DBMS
Websitewww.postgresql.fastware.comwww.ibm.com/­products/­db2-event-storewww.symas.com/­symas-embedded-database-lmdbazure.microsoft.com/­en-us/­products/­azure-sql/­database
Technical documentationwww.postgresql.fastware.com/­product-manualswww.ibm.com/­docs/­en/­db2-event-storewww.lmdb.tech/­docdocs.microsoft.com/­en-us/­azure/­azure-sql
DeveloperPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyIBMSymasMicrosoft
Initial release201720112010
Current releaseFujitsu Enterprise Postgres 14, January 20222.00.9.32, January 2024V12
License infoCommercial or Open Sourcecommercialcommercial infofree developer edition availableOpen Sourcecommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC and C++CC++
Server operating systemsLinux
Windows
Linux infoLinux, macOS, Windows for the developer additionLinux
Unix
Windows
hosted
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes
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.nonoyes
Secondary indexesyesnonoyes
SQL infoSupport of SQLyesyes infothrough the embedded Spark runtimenoyes
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
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
.Net
C
C++
Clojure
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Nim
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Rust
Swift
Tcl
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresuser defined functionsyesnoTransact SQL
Triggersyesnonoyes
Partitioning methods infoMethods for storing different data on different nodespartitioning by range, list and by hashShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationActive-active shard replicationnoneyes, with always 3 replicas available
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
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-standardnofine grained access rights according to SQL-standard
More information provided by the system vendor
Fujitsu Enterprise PostgresIBM Db2 Event StoreLMDBMicrosoft Azure SQL Database infoformerly SQL Azure
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 StoreLMDBMicrosoft Azure SQL Database infoformerly SQL Azure
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