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DBMS > QuestDB vs. Sphinx vs. SQL.JS vs. Yanza

System Properties Comparison QuestDB vs. Sphinx vs. SQL.JS vs. Yanza

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Editorial information provided by DB-Engines
NameQuestDB  Xexclude from comparisonSphinx  Xexclude from comparisonSQL.JS  Xexclude from comparisonYanza  Xexclude from comparison
DescriptionA high performance open source SQL database for time series dataOpen source search engine for searching in data from different sources, e.g. relational databasesPort of SQLite to JavaScriptTime Series DBMS for IoT Applications
Primary database modelTime Series DBMSSearch engineRelational DBMSTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.31
Rank#260  Overall
#20  Time Series DBMS
Score6.35
Rank#59  Overall
#7  Search engines
Score0.70
Rank#201  Overall
#98  Relational DBMS
Score0.00
Rank#345  Overall
#33  Time Series DBMS
Websitequestdb.iosphinxsearch.comsql.js.orgyanza.com
Technical documentationquestdb.io/­docs/­introductionsphinxsearch.com/­docssql.js.org/­documentation/­index.html
DeveloperQuestDB LimitedSphinx Technologies Inc.Alon Zakai infoenhancements implemented by othersYanza
Initial release2014200120122015
Current release3.2.1, January 2020
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoGPL version 2, commercial licence availableOpen Sourcecommercial infofree version available
Cloud-based only infoOnly available as a cloud servicenononono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++JavaScript
Server operating systemsLinux
macOS
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
server-less, requires a JavaScript environment (browser, Node.js)Windows
Data schemeyes infoschema-free via InfluxDB Line Protocolyesyesschema-free
Typing infopredefined data types such as float or dateyesnoyesno
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 indexesnoyes infofull-text index on all search fieldsno
SQL infoSupport of SQLSQL-like query languageSQL-like query language (SphinxQL)yes infoSQL-92 is not fully supportedno
APIs and other access methodsHTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
Proprietary protocolJavaScript APIHTTP API
Supported programming languagesC infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
JavaScriptany language that supports HTTP calls
Server-side scripts infoStored proceduresnononono
Triggersnononoyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by timestamps)Sharding infoPartitioning is done manually, search queries against distributed index is supportednonenone
Replication methods infoMethods for redundantly storing data on multiple nodesConfigurable consistency for N replicasnonenonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID for single-table writesnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes 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 infothrough memory mapped filesyes
User concepts infoAccess controlnonono
More information provided by the system vendor
QuestDBSphinxSQL.JSYanza
Specific characteristicsRelational model with native time series support Column based storage and time partitioned...
» more
Competitive advantagesReal-time data ingestion and istant SQL queries for time series High performance...
» more
Typical application scenariosApplication metrics Financial market data and algo trading DevOps monitoring Real-time...
» more
Licensing and pricing modelsApache 2.0.
» more

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QuestDBSphinxSQL.JSYanza
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