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DBMS > LMDB vs. PostgreSQL vs. PouchDB vs. Quasardb

System Properties Comparison LMDB vs. PostgreSQL vs. PouchDB vs. Quasardb

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Editorial information provided by DB-Engines
NameLMDB  Xexclude from comparisonPostgreSQL  Xexclude from comparisonPouchDB  Xexclude from comparisonQuasardb  Xexclude from comparison
DescriptionA high performant, light-weight, embedded key-value database libraryWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLJavaScript DBMS with an API inspired by CouchDBDistributed, high-performance timeseries database
Primary database modelKey-value storeRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Document storeTime Series DBMS
Secondary database modelsDocument 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
Score2.09
Rank#121  Overall
#20  Key-value stores
Score636.25
Rank#4  Overall
#4  Relational DBMS
Score2.34
Rank#112  Overall
#21  Document stores
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Websitewww.symas.com/­symas-embedded-database-lmdbwww.postgresql.orgpouchdb.comquasar.ai
Technical documentationwww.lmdb.tech/­docwww.postgresql.org/­docspouchdb.com/­guidesdoc.quasar.ai/­master
DeveloperSymasPostgreSQL Global Development Group infowww.postgresql.org/­developerApache Software Foundationquasardb
Initial release20111989 info1989: Postgres, 1996: PostgreSQL20122009
Current release0.9.32, January 202416.3, May 20247.1.1, June 20193.14.1, January 2024
License infoCommercial or Open SourceOpen SourceOpen Source infoBSDOpen Sourcecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCCJavaScriptC++
Server operating systemsLinux
Unix
Windows
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
server-less, requires a JavaScript environment (browser, Node.js)BSD
Linux
OS X
Windows
Data schemeschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesnoyes infointeger and binary
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.noyes infospecific XML-type available, but no XML query functionality.nono
Secondary indexesnoyesyes infovia viewsyes infowith tags
SQL infoSupport of SQLnoyes infostandard with numerous extensionsnoSQL-like query language
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP REST infoonly for PouchDB Server
JavaScript API
HTTP API
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
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
JavaScript.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresnouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.View functions in JavaScriptno
Triggersnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesnonepartitioning by range, list and (since PostgreSQL 11) by hashSharding infowith a proxy-based framework, named couchdb-loungeSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replication infoother methods possible by using 3rd party extensionsMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
Source-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyeswith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyes infoTransient mode
User concepts infoAccess controlnofine grained access rights according to SQL-standardnoCryptographically strong user authentication and audit trail

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