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DBMS > Apache Druid vs. Hyprcubd vs. Sphinx vs. SQL.JS

System Properties Comparison Apache Druid vs. Hyprcubd vs. Sphinx vs. SQL.JS

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonHyprcubd  Xexclude from comparisonSphinx  Xexclude from comparisonSQL.JS  Xexclude from comparison
Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataServerless Time Series DBMSOpen source search engine for searching in data from different sources, e.g. relational databasesPort of SQLite to JavaScript
Primary database modelRelational DBMS
Time Series DBMS
Time Series DBMSSearch engineRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.29
Rank#95  Overall
#49  Relational DBMS
#7  Time Series DBMS
Score6.03
Rank#60  Overall
#6  Search engines
Score0.57
Rank#248  Overall
#114  Relational DBMS
Websitedruid.apache.orghyprcubd.com (offline)sphinxsearch.comsql.js.org
Technical documentationdruid.apache.org/­docs/­latest/­designsphinxsearch.com/­docssql.js.org/­documentation/­index.html
DeveloperApache Software Foundation and contributorsHyprcubd, Inc.Sphinx Technologies Inc.Alon Zakai infoenhancements implemented by others
Initial release201220012012
Current release29.0.1, April 20243.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoApache license v2commercialOpen Source infoGPL version 2, commercial licence availableOpen Source
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaGoC++JavaScript
Server operating systemsLinux
OS X
Unix
hostedFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
server-less, requires a JavaScript environment (browser, Node.js)
Data schemeyes infoschema-less columns are supportedyesyesyes
Typing infopredefined data types such as float or dateyesyes infotime, int, uint, float, stringnoyes
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 indexesyesnoyes infofull-text index on all search fields
SQL infoSupport of SQLSQL for queryingSQL-like query languageSQL-like query language (SphinxQL)yes infoSQL-92 is not fully supported
APIs and other access methodsJDBC
RESTful HTTP/JSON API
gRPC (https)Proprietary protocolJavaScript API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
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 nodesSharding infomanual/auto, time-basedSharding infoPartitioning is done manually, search queries against distributed index is supportednone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistencynone
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACID
Concurrency infoSupport for concurrent manipulation of datayesnoyes
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.nonoyes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemtoken accessnono

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More resources
Apache DruidHyprcubdSphinxSQL.JS
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