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DBMS > QuestDB vs. Sadas Engine vs. Sphinx vs. SQL.JS

System Properties Comparison QuestDB vs. Sadas Engine vs. Sphinx vs. SQL.JS

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Editorial information provided by DB-Engines
NameQuestDB  Xexclude from comparisonSadas Engine  Xexclude from comparisonSphinx  Xexclude from comparisonSQL.JS  Xexclude from comparison
DescriptionA high performance, low latency Time Series DBMSSADAS Engine is a columnar DBMS specifically designed for high performance in Data warehouse environmentsOpen source search engine for searching in data from different sources, e.g. relational databasesPort of SQLite to JavaScript
Primary database modelTime Series DBMSRelational DBMSSearch engineRelational 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
Score0.08
Rank#311  Overall
#132  Relational DBMS
Score6.35
Rank#59  Overall
#7  Search engines
Score0.70
Rank#201  Overall
#98  Relational DBMS
Websitequestdb.iowww.sadasengine.comsphinxsearch.comsql.js.org
Technical documentationquestdb.io/­docs/­introductionwww.sadasengine.com/­index.php/­downloads/­documentation-columnar-dbsphinxsearch.com/­docssql.js.org/­documentation/­index.html
DeveloperQuestDB LimitedSADAS s.r.l.Sphinx Technologies Inc.Alon Zakai infoenhancements implemented by others
Initial release2014200620012012
Current release8.03.2.1, January 2020
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial infofree trial version availableOpen Source infoGPL version 2, commercial licence availableOpen Source
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++C++JavaScript
Server operating systemsLinux
macOS
Windows
AIX
Linux
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
server-less, requires a JavaScript environment (browser, Node.js)
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesnoyes
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 indexesnoyesyes infofull-text index on all search fields
SQL infoSupport of SQLSQL-like query languageyesSQL-like query language (SphinxQL)yes infoSQL-92 is not fully supported
APIs and other access methodsHTTP RESTJDBC
ODBC
Proprietary protocol
Proprietary protocolJavaScript API
Supported programming languagesJava.Net
C
C#
C++
Groovy
Java
PHP
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
JavaScript
Server-side scripts infoStored proceduresnononono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by timestamps)horizontal partitioningSharding infoPartitioning is done manually, search queries against distributed index is supportednone
Replication methods infoMethods for redundantly storing data on multiple nodesnonenonenonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistencynone
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID for single-table writesnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Sphinx index.no infoexcept by serializing a db to a file
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infomanaged by 'Learn by Usage'yes
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardnono
More information provided by the system vendor
QuestDBSadas EngineSphinxSQL.JS
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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More resources
QuestDBSadas EngineSphinxSQL.JS
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