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DBMS > Quasardb vs. Sphinx vs. SQL.JS vs. WakandaDB vs. Warp 10

System Properties Comparison Quasardb vs. Sphinx vs. SQL.JS vs. WakandaDB vs. Warp 10

Editorial information provided by DB-Engines
NameQuasardb  Xexclude from comparisonSphinx  Xexclude from comparisonSQL.JS  Xexclude from comparisonWakandaDB  Xexclude from comparisonWarp 10  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 JavaScriptWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access dataTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelTime Series DBMSSearch engineRelational DBMSObject oriented DBMSTime Series 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
Score0.10
Rank#356  Overall
#16  Object oriented DBMS
Score0.14
Rank#344  Overall
#32  Time Series DBMS
Websitequasar.aisphinxsearch.comsql.js.orgwakanda.github.iowww.warp10.io
Technical documentationdoc.quasar.ai/­mastersphinxsearch.com/­docssql.js.org/­documentation/­index.htmlwakanda.github.io/­docwww.warp10.io/­content/­02_Getting_started
DeveloperquasardbSphinx Technologies Inc.Alon Zakai infoenhancements implemented by othersWakanda SASSenX
Initial release20092001201220122015
Current release3.14.1, January 20243.5.1, February 20232.7.0 (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 SourceOpen Source infoAGPLv3, extended commercial license availableOpen Source infoApache License 2.0
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++, JavaScriptJava
Server operating systemsBSD
Linux
OS X
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
server-less, requires a JavaScript environment (browser, Node.js)Linux
OS X
Windows
Linux
OS X
Windows
Data schemeschema-freeyesyesyesschema-free
Typing infopredefined data types such as float or dateyes infointeger and binarynoyesyesyes
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.nononono
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 supportednono
APIs and other access methodsHTTP APIProprietary protocolJavaScript APIRESTful HTTP APIHTTP API
Jupyter
WebSocket
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
JavaScriptJavaScript
Server-side scripts infoStored proceduresnononoyesyes infoWarpScript
Triggersnononoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infoconsistent hashingSharding infoPartitioning is done manually, search queries against distributed index is supportednonenoneSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication with selectable replication factornonenonenoneselectable replication factor infobased on HBase
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 infobased on HBase
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACIDno
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 modeyesnoyes
User concepts infoAccess controlCryptographically strong user authentication and audit trailnonoyesMandatory use of cryptographic tokens, containing fine-grained authorizations

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More resources
QuasardbSphinxSQL.JSWakandaDBWarp 10
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