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DBMS > Druid vs. Sphinx

System Properties Comparison Druid vs. Sphinx

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Editorial information provided by DB-Engines
NameDruid  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionOpen-source analytics data store designed for OLAP queries on timeseries dataOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelRelational DBMS
Time Series DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.73
Rank#111  Overall
#55  Relational DBMS
#7  Time Series DBMS
Score7.23
Rank#46  Overall
#5  Search engines
Websitedruid.iosphinxsearch.com
Technical documentationdruid.io/­docs/­latest/­design/­index.htmlsphinxsearch.com/­docs
DeveloperMetamarkets Group and contributorsSphinx Technologies Inc.
Initial release20122001
Current release3.1.1, October 2018
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++
Server operating systemsLinux
OS X
Unix
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyes infoschema-less columns are supportedyes
Typing infopredefined data types such as float or dateyesno
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.no
Secondary indexesyesyes infofull-text index on all search fields
SQL infoSupport of SQLSQL support via Apache Calcite adapterSQL-like query language (SphinxQL)
APIs and other access methodsJSON over HTTPProprietary protocol
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnono
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlno infoavailable via extensionsno

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More resources
DruidSphinx
DB-Engines blog posts

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