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DBMS > Quasardb vs. Riak KV vs. Sphinx vs. SQL.JS vs. WakandaDB

System Properties Comparison Quasardb vs. Riak KV vs. Sphinx vs. SQL.JS vs. WakandaDB

Editorial information provided by DB-Engines
NameQuasardb  Xexclude from comparisonRiak KV  Xexclude from comparisonSphinx  Xexclude from comparisonSQL.JS  Xexclude from comparisonWakandaDB  Xexclude from comparison
DescriptionDistributed, high-performance timeseries databaseDistributed, fault tolerant key-value storeOpen 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 modelTime Series DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexesSearch engineRelational 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
Score4.01
Rank#79  Overall
#9  Key-value stores
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
Websitequasar.aisphinxsearch.comsql.js.orgwakanda.github.io
Technical documentationdoc.quasar.ai/­masterwww.tiot.jp/­riak-docs/­riak/­kv/­latestsphinxsearch.com/­docssql.js.org/­documentation/­index.htmlwakanda.github.io/­doc
DeveloperquasardbOpenSource, formerly Basho TechnologiesSphinx Technologies Inc.Alon Zakai infoenhancements implemented by othersWakanda SAS
Initial release20092009200120122012
Current release3.14.1, January 20243.2.0, December 20223.5.1, 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 infoApache version 2, commercial enterprise editionOpen 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

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++ErlangC++JavaScriptC++, JavaScript
Server operating systemsBSD
Linux
OS X
Windows
Linux
OS X
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
server-less, requires a JavaScript environment (browser, Node.js)Linux
OS X
Windows
Data schemeschema-freeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyes infointeger and binarynonoyesyes
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 tagsrestrictedyes infofull-text index on all search fields
SQL infoSupport of SQLSQL-like query languagenoSQL-like query language (SphinxQL)yes infoSQL-92 is not fully supportedno
APIs and other access methodsHTTP APIHTTP API
Native Erlang Interface
Proprietary protocolJavaScript APIRESTful HTTP API
Supported programming languages.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
JavaScriptJavaScript
Server-side scripts infoStored proceduresnoErlangnonoyes
Triggersnoyes infopre-commit hooks and post-commit hooksnonoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoconsistent hashingSharding infono "single point of failure"Sharding infoPartitioning is done manually, search queries against distributed index is supportednonenone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication with selectable replication factorselectable replication factornonenonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodswith Hadoop integrationyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencynoneImmediate Consistency
Foreign keys infoReferential integritynono infolinks between data sets can be storednoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infoby using LevelDByesyes 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.yes infoTransient modeyesno
User concepts infoAccess controlCryptographically strong user authentication and audit trailyes, using Riak Securitynonoyes

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More resources
QuasardbRiak KVSphinxSQL.JSWakandaDB
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