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DBMS > IBM Db2 Event Store vs. LMDB vs. Microsoft SQL Server vs. PostgreSQL vs. Realm

System Properties Comparison IBM Db2 Event Store vs. LMDB vs. Microsoft SQL Server vs. PostgreSQL vs. Realm

Editorial information provided by DB-Engines
NameIBM Db2 Event Store  Xexclude from comparisonLMDB  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonPostgreSQL  Xexclude from comparisonRealm  Xexclude from comparison
DescriptionDistributed Event Store optimized for Internet of Things use casesA high performant, light-weight, embedded key-value database libraryMicrosofts flagship relational DBMSWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core Data
Primary database modelEvent Store
Time Series DBMS
Key-value storeRelational DBMSRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Document store
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Document store
Graph DBMS infowith Apache Age
Spatial DBMS
Vector DBMS infowith pgvector extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.19
Rank#323  Overall
#2  Event Stores
#28  Time Series DBMS
Score1.99
Rank#125  Overall
#21  Key-value stores
Score824.29
Rank#3  Overall
#3  Relational DBMS
Score645.54
Rank#4  Overall
#4  Relational DBMS
Score7.60
Rank#52  Overall
#9  Document stores
Websitewww.ibm.com/­products/­db2-event-storewww.symas.com/­symas-embedded-database-lmdbwww.microsoft.com/­en-us/­sql-serverwww.postgresql.orgrealm.io
Technical documentationwww.ibm.com/­docs/­en/­db2-event-storewww.lmdb.tech/­doclearn.microsoft.com/­en-US/­sql/­sql-serverwww.postgresql.org/­docsrealm.io/­docs
DeveloperIBMSymasMicrosoftPostgreSQL Global Development Group infowww.postgresql.org/­developerRealm, acquired by MongoDB in May 2019
Initial release2017201119891989 info1989: Postgres, 1996: PostgreSQL2014
Current release2.00.9.32, January 2024SQL Server 2022, November 202216.3, May 2024
License infoCommercial or Open Sourcecommercial infofree developer edition availableOpen Sourcecommercial inforestricted free version is availableOpen Source infoBSDOpen Source
Cloud-based only infoOnly available as a cloud servicenonononono
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Implementation languageC and C++CC++C
Server operating systemsLinux infoLinux, macOS, Windows for the developer additionLinux
Unix
Windows
Linux
Windows
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Android
Backend: server-less
iOS
Windows
Data schemeyesschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nonoyesyes infospecific XML-type available, but no XML query functionality.no
Secondary indexesnonoyesyesyes
SQL infoSupport of SQLyes infothrough the embedded Spark runtimenoyesyes infostandard with numerous extensionsno
APIs and other access methodsADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC
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
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
Java infowith Android only
Objective-C
React Native
Swift
Server-side scripts infoStored proceduresyesnoTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javauser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.no inforuns within the applications so server-side scripts are unnecessary
Triggersnonoyesyesyes infoChange Listeners
Partitioning methods infoMethods for storing different data on different nodesShardingnonetables can be distributed across several files (horizontal partitioning); sharding through federationpartitioning by range, list and (since PostgreSQL 11) by hashnone
Replication methods infoMethods for redundantly storing data on multiple nodesActive-active shard replicationnoneyes, but depending on the SQL-Server EditionSource-replica replication infoother methods possible by using 3rd party extensionsnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of dataNo - written data is immutableyesyesyes
Durability infoSupport for making data persistentYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesnoyes infoIn-Memory realm
User concepts infoAccess controlfine grained access rights according to SQL-standardnofine grained access rights according to SQL-standardfine grained access rights according to SQL-standardyes

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More resources
IBM Db2 Event StoreLMDBMicrosoft SQL ServerPostgreSQLRealm
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