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DBMS > IBM Db2 Event Store vs. LMDB vs. Microsoft Azure SQL Database vs. Vitess

System Properties Comparison IBM Db2 Event Store vs. LMDB vs. Microsoft Azure SQL Database vs. Vitess

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Editorial information provided by DB-Engines
NameIBM Db2 Event Store  Xexclude from comparisonLMDB  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonVitess  Xexclude from comparison
DescriptionDistributed 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 ServerScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelEvent Store
Time Series DBMS
Key-value storeRelational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Document store
Spatial DBMS
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
Score77.99
Rank#16  Overall
#11  Relational DBMS
Score0.82
Rank#209  Overall
#97  Relational DBMS
Websitewww.ibm.com/­products/­db2-event-storewww.symas.com/­symas-embedded-database-lmdbazure.microsoft.com/­en-us/­products/­azure-sql/­databasevitess.io
Technical documentationwww.ibm.com/­docs/­en/­db2-event-storewww.lmdb.tech/­docdocs.microsoft.com/­en-us/­azure/­azure-sqlvitess.io/­docs
DeveloperIBMSymasMicrosoftThe Linux Foundation, PlanetScale
Initial release2017201120102013
Current release2.00.9.32, January 2024V1215.0.2, December 2022
License infoCommercial or Open Sourcecommercial infofree developer edition availableOpen SourcecommercialOpen Source infoApache Version 2.0, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++CC++Go
Server operating systemsLinux infoLinux, macOS, Windows for the developer additionLinux
Unix
Windows
hostedDocker
Linux
macOS
Data schemeyesschema-freeyesyes
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 indexesnonoyesyes
SQL infoSupport of SQLyes infothrough the embedded Spark runtimenoyesyes infowith proprietary extensions
APIs and other access methodsADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
ADO.NET
JDBC
MySQL protocol
ODBC
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
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyesnoTransact SQLyes infoproprietary syntax
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesActive-active shard replicationnoneyes, with always 3 replicas availableMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynonoyesyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID at shard level
Concurrency infoSupport for concurrent manipulation of dataNo - written data is immutableyesyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyesyesyes
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-standardnofine grained access rights according to SQL-standardUsers with fine-grained authorization concept infono user groups or roles

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More resources
IBM Db2 Event StoreLMDBMicrosoft Azure SQL Database infoformerly SQL AzureVitess
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