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DBMS > Quasardb vs. Sphinx vs. SQL.JS vs. SQream DB vs. WakandaDB

System Properties Comparison Quasardb vs. Sphinx vs. SQL.JS vs. SQream DB vs. WakandaDB

Editorial information provided by DB-Engines
NameQuasardb  Xexclude from comparisonSphinx  Xexclude from comparisonSQL.JS  Xexclude from comparisonSQream DB  Xexclude from comparisonWakandaDB  Xexclude from comparison
DescriptionDistributed, high-performance timeseries databaseOpen source search engine for searching in data from different sources, e.g. relational databasesPort of SQLite to JavaScripta GPU-based, columnar RDBMS for big data analytics workloadsWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelTime Series DBMSSearch engineRelational DBMSRelational DBMSObject oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
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
Score0.74
Rank#224  Overall
#103  Relational DBMS
Score0.10
Rank#356  Overall
#16  Object oriented DBMS
Websitequasar.aisphinxsearch.comsql.js.orgsqream.comwakanda.github.io
Technical documentationdoc.quasar.ai/­mastersphinxsearch.com/­docssql.js.org/­documentation/­index.htmldocs.sqream.comwakanda.github.io/­doc
DeveloperquasardbSphinx Technologies Inc.Alon Zakai infoenhancements implemented by othersSQream TechnologiesWakanda SAS
Initial release20092001201220172012
Current release3.14.1, January 20243.5.1, February 20232022.1.6, December 20222.7.0 (April 29, 2019), April 2019
License infoCommercial or Open Sourcecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoGPL version 2, commercial licence availableOpen SourcecommercialOpen Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++JavaScriptC++, CUDA, Haskell, Java, ScalaC++, JavaScript
Server operating systemsBSD
Linux
OS X
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
server-less, requires a JavaScript environment (browser, Node.js)LinuxLinux
OS X
Windows
Data schemeschema-freeyesyesyesyes
Typing infopredefined data types such as float or dateyes infointeger and binarynoyesyes, ANSI Standard SQL Typesyes
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.nonono
Secondary indexesyes infowith tagsyes infofull-text index on all search fieldsno
SQL infoSupport of SQLSQL-like query languageSQL-like query language (SphinxQL)yes infoSQL-92 is not fully supportedyesno
APIs and other access methodsHTTP APIProprietary protocolJavaScript API.Net
JDBC
ODBC
RESTful HTTP API
Supported programming languages.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
JavaScriptC++
Java
JavaScript (Node.js)
Python
JavaScript
Server-side scripts infoStored proceduresnononouser defined functions in Pythonyes
Triggersnonononoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoconsistent hashingSharding infoPartitioning is done manually, search queries against distributed index is supportednonehorizontal and vertical partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication with selectable replication factornonenonenonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodswith Hadoop integrationnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infoby using LevelDByes infoThe original contents of fields are not stored in the Sphinx index.no infoexcept by serializing a db to a fileyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoTransient modeyesno
User concepts infoAccess controlCryptographically strong user authentication and audit trailnonoyes

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More resources
QuasardbSphinxSQL.JSSQream DBWakandaDB
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