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DBMS > Apache Doris vs. Badger vs. Sphinx vs. SWC-DB

System Properties Comparison Apache Doris vs. Badger vs. Sphinx vs. SWC-DB

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Editorial information provided by DB-Engines
NameApache Doris  Xexclude from comparisonBadger  Xexclude from comparisonSphinx  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparison
DescriptionAn MPP-based analytics DBMS embracing the MySQL protocolAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Open source search engine for searching in data from different sources, e.g. relational databasesA high performance, scalable Wide Column DBMS
Primary database modelRelational DBMSKey-value storeSearch engineWide column store
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.60
Rank#247  Overall
#113  Relational DBMS
Score0.22
Rank#320  Overall
#47  Key-value stores
Score5.95
Rank#55  Overall
#5  Search engines
Score0.08
Rank#364  Overall
#13  Wide column stores
Websitedoris.apache.org
github.com/­apache/­doris
github.com/­dgraph-io/­badgersphinxsearch.comgithub.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationgithub.com/­apache/­doris/­wikigodoc.org/­github.com/­dgraph-io/­badgersphinxsearch.com/­docs
DeveloperApache Software Foundation, originally contributed from BaiduDGraph LabsSphinx Technologies Inc.Alex Kashirin
Initial release2017201720012020
Current release1.2.2, February 20233.5.1, February 20230.5, April 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0Open Source infoGPL version 2, commercial licence availableOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaGoC++C++
Server operating systemsLinuxBSD
Linux
OS X
Solaris
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
Data schemeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesnono
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 SQLyesnoSQL-like query language (SphinxQL)SQL-like query language
APIs and other access methodsJDBC
MySQL client
Proprietary protocolProprietary protocol
Thrift
Supported programming languagesJavaGoC++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C++
Server-side scripts infoStored proceduresuser defined functionsnonono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnoneSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnonenonenone
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 integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Sphinx index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlfine grained access rights according to SQL-standardnono

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More resources
Apache DorisBadgerSphinxSWC-DB infoSuper Wide Column Database
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