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DBMS > Apache Druid vs. Bangdb vs. Quasardb vs. Sphinx

System Properties Comparison Apache Druid vs. Bangdb vs. Quasardb vs. Sphinx

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonBangdb  Xexclude from comparisonQuasardb  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataConverged and high performance database for device data, events, time series, document and graphDistributed, high-performance timeseries databaseOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelRelational DBMS
Time Series DBMS
Document store
Graph DBMS
Time Series DBMS
Time Series DBMSSearch engine
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.25
Rank#90  Overall
#47  Relational DBMS
#7  Time Series DBMS
Score0.16
Rank#338  Overall
#47  Document stores
#32  Graph DBMS
#31  Time Series DBMS
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Score5.95
Rank#55  Overall
#5  Search engines
Websitedruid.apache.orgbangdb.comquasar.aisphinxsearch.com
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.bangdb.comdoc.quasar.ai/­mastersphinxsearch.com/­docs
DeveloperApache Software Foundation and contributorsSachin Sinha, BangDBquasardbSphinx Technologies Inc.
Initial release2012201220092001
Current release29.0.1, April 2024BangDB 2.0, October 20213.14.1, January 20243.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoBSD 3commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC, C++C++C++
Server operating systemsLinux
OS X
Unix
LinuxBSD
Linux
OS X
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyes infoschema-less columns are supportedschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyes: string, long, double, int, geospatial, stream, eventsyes infointeger and binaryno
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 indexesyesyes infosecondary, composite, nested, reverse, geospatialyes infowith tagsyes infofull-text index on all search fields
SQL infoSupport of SQLSQL for queryingSQL like support with command line toolSQL-like query languageSQL-like query language (SphinxQL)
APIs and other access methodsJDBC
RESTful HTTP/JSON API
Proprietary protocol
RESTful HTTP API
HTTP APIProprietary protocol
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C
C#
C++
Java
Python
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnononono
Triggersnoyes, Notifications (with Streaming only)nono
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmSharding infoconsistent hashingSharding 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 enginesselectable replication factor, Knob for CAP (enterprise version only)Source-replica replication with selectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonowith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyTunable consistency, set CAP knob accordinglyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes, optimistic concurrency controlyesyes
Durability infoSupport for making data persistentyesyes, implements WAL (Write ahead log) as wellyes infoby using LevelDByes 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.noyes, run db with in-memory only modeyes infoTransient mode
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemyes (enterprise version only)Cryptographically strong user authentication and audit trailno

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Apache DruidBangdbQuasardbSphinx
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