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DBMS > PostgreSQL vs. Quasardb vs. Sphinx vs. SQL.JS vs. WakandaDB

System Properties Comparison PostgreSQL vs. Quasardb vs. Sphinx vs. SQL.JS vs. WakandaDB

Editorial information provided by DB-Engines
NamePostgreSQL  Xexclude from comparisonQuasardb  Xexclude from comparisonSphinx  Xexclude from comparisonSQL.JS  Xexclude from comparisonWakandaDB  Xexclude from comparison
DescriptionWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLDistributed, high-performance timeseries databaseOpen source search engine for searching in data from different sources, e.g. relational databasesPort of SQLite to JavaScriptWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Time Series DBMSSearch engineRelational DBMSObject oriented 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
Score636.25
Rank#4  Overall
#4  Relational DBMS
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Score5.95
Rank#55  Overall
#5  Search engines
Score0.63
Rank#241  Overall
#112  Relational DBMS
Score0.10
Rank#356  Overall
#16  Object oriented DBMS
Websitewww.postgresql.orgquasar.aisphinxsearch.comsql.js.orgwakanda.github.io
Technical documentationwww.postgresql.org/­docsdoc.quasar.ai/­mastersphinxsearch.com/­docssql.js.org/­documentation/­index.htmlwakanda.github.io/­doc
DeveloperPostgreSQL Global Development Group infowww.postgresql.org/­developerquasardbSphinx Technologies Inc.Alon Zakai infoenhancements implemented by othersWakanda SAS
Initial release1989 info1989: Postgres, 1996: PostgreSQL2009200120122012
Current release16.3, May 20243.14.1, January 20243.5.1, February 20232.7.0 (April 29, 2019), April 2019
License infoCommercial or Open SourceOpen Source infoBSDcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoGPL version 2, commercial licence availableOpen SourceOpen Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC++C++JavaScriptC++, JavaScript
Server operating systemsFreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
BSD
Linux
OS X
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
server-less, requires a JavaScript environment (browser, Node.js)Linux
OS X
Windows
Data schemeyesschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyes infointeger and binarynoyesyes
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.yes infospecific XML-type available, but no XML query functionality.nonono
Secondary indexesyesyes infowith tagsyes infofull-text index on all search fields
SQL infoSupport of SQLyes infostandard with numerous extensionsSQL-like query languageSQL-like query language (SphinxQL)yes infoSQL-92 is not fully supportedno
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP APIProprietary protocolJavaScript APIRESTful HTTP API
Supported programming languages.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
JavaScriptJavaScript
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.nononoyes
Triggersyesnononoyes
Partitioning methods infoMethods for storing different data on different nodespartitioning by range, list and (since PostgreSQL 11) by hashSharding infoconsistent hashingSharding infoPartitioning is done manually, search queries against distributed index is supportednonenone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infoother methods possible by using 3rd party extensionsSource-replica replication with selectable replication factornonenonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnowith Hadoop integrationnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencynoneImmediate Consistency
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoby using LevelDByes infoThe original contents of fields are not stored in the Sphinx index.no infoexcept by serializing a db to a fileyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoTransient modeyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardCryptographically strong user authentication and audit trailnonoyes

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