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DBMS > LMDB vs. Microsoft Azure Synapse Analytics vs. MySQL vs. TimescaleDB

System Properties Comparison LMDB vs. Microsoft Azure Synapse Analytics vs. MySQL vs. TimescaleDB

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Editorial information provided by DB-Engines
NameLMDB  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonMySQL  Xexclude from comparisonTimescaleDB  Xexclude from comparison
DescriptionA high performant, light-weight, embedded key-value database libraryElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerWidely used open source RDBMSA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelKey-value storeRelational DBMSRelational DBMS infoKey/Value like access via memcached APITime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.33
Rank#118  Overall
#21  Key-value stores
Score22.71
Rank#30  Overall
#18  Relational DBMS
Score1087.72
Rank#2  Overall
#2  Relational DBMS
Score4.87
Rank#74  Overall
#4  Time Series DBMS
Websitewww.symas.com/­symas-embedded-database-lmdbazure.microsoft.com/­services/­synapse-analyticswww.mysql.comwww.timescale.com
Technical documentationwww.lmdb.tech/­docdocs.microsoft.com/­azure/­synapse-analyticsdev.mysql.com/­docdocs.timescale.com
DeveloperSymasMicrosoftOracle infosince 2010, originally MySQL AB, then SunTimescale
Initial release2011201619952017
Current release0.9.32, January 20248.3.0, January 20242.13.0, November 2023
License infoCommercial or Open SourceOpen SourcecommercialOpen Source infoGPL version 2. Commercial licenses with extended functionallity are availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Aiven for MySQL: Fully managed MySQL, deployable in the cloud of your choice, with seamless integrations and lightning-fast setup.
Implementation languageCC++C and C++C
Server operating systemsLinux
Unix
Windows
hostedFreeBSD
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyesnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data types
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
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnoyesyes infowith proprietary extensionsyes infofull PostgreSQL SQL syntax
APIs and other access methodsADO.NET
JDBC
ODBC
ADO.NET
JDBC
ODBC
Proprietary native API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languages.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#
Java
PHP
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnoTransact SQLyes infoproprietary syntaxuser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding, horizontal partitioninghorizontal partitioning, sharding with MySQL Cluster or MySQL Fabricyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesMulti-source replication
Source-replica replication
Source-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsyes infonot for MyISAM storage engineyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID infonot for MyISAM storage engineACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infotable locks or row locks depending on storage engineyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlnoyesUsers with fine-grained authorization concept infono user groups or rolesfine grained access rights according to SQL-standard

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More resources
LMDBMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseMySQLTimescaleDB
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