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DBMS > Badger vs. ClickHouse vs. RethinkDB vs. Sphinx

System Properties Comparison Badger vs. ClickHouse vs. RethinkDB vs. Sphinx

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonClickHouse  Xexclude from comparisonRethinkDB  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.A high-performance, column-oriented SQL DBMS for online analytical processing (OLAP) that uses all available system resources to their full potential to process each analytical query as fast as possible. It is available as both an open-source software and a cloud offering.DBMS for the Web with a mechanism to push updated query results to applications in realtime.Open source search engine for searching in data from different sources, e.g. relational databases
Primary database modelKey-value storeRelational DBMSDocument storeSearch engine
Secondary database modelsTime Series DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.20
Rank#313  Overall
#47  Key-value stores
Score18.77
Rank#31  Overall
#19  Relational DBMS
Score2.30
Rank#105  Overall
#19  Document stores
Score5.72
Rank#56  Overall
#5  Search engines
Websitegithub.com/­dgraph-io/­badgerclickhouse.comrethinkdb.comsphinxsearch.com
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerclickhouse.com/­docsrethinkdb.com/­docssphinxsearch.com/­docs
DeveloperDGraph LabsClickhouse Inc.The Linux Foundation infosince July 2017Sphinx Technologies Inc.
Initial release2017201620092001
Current releasev24.6.2.17-stable, July 20242.4.1, August 20203.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache 2.0Open Source infoApache Version 2Open Source infoGPL version 2, commercial licence available
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 languageGoC++C++C++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
FreeBSD
Linux
macOS
Linux
OS X
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or datenoyesyes infostring, binary, float, bool, date, geometryno
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 indexesnoyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLnoClose to ANSI SQL (SQL/JSON + extensions)noSQL-like query language (SphinxQL)
APIs and other access methodsgRPC
HTTP REST
JDBC
MySQL wire protocol
ODBC
PostgreSQL wire protocol
Proprietary protocol
Proprietary protocol
Supported programming languagesGoC# info3rd party library
C++
Elixir info3rd party library
Go info3rd party library
Java info3rd party library
JavaScript (Node.js) info3rd party library
Kotlin info3rd party library
Nim info3rd party library
Perl info3rd party library
PHP info3rd party library
Python info3rd party library
R info3rd party library
Ruby info3rd party library
Rust
Scala info3rd party library
C infocommunity-supported driver
C# infocommunity-supported driver
C++ infocommunity-supported driver
Clojure infocommunity-supported driver
Dart infocommunity-supported driver
Erlang infocommunity-supported driver
Go infocommunity-supported driver
Haskell infocommunity-supported driver
Java infoofficial driver
JavaScript (Node.js) infoofficial driver
Lisp infocommunity-supported driver
Lua infocommunity-supported driver
Objective-C infocommunity-supported driver
Perl infocommunity-supported driver
PHP infocommunity-supported driver
Python infoofficial driver
Ruby infoofficial driver
Scala infocommunity-supported driver
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnoyesno
TriggersnonoClient-side triggers through changefeedsno
Partitioning methods infoMethods for storing different data on different nodesnonekey based and customSharding inforange basedSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesnoneAsynchronous and synchronous physical replication; geographically distributed replicas; support for object storages.Source-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoAtomic single-document operationsno
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMVCC basedyes
Durability infoSupport for making data persistentyesyesyesyes 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.noyesno
User concepts infoAccess controlnoAccess rights for users and roles. Column and row based policies. Quotas and resource limits. Pluggable authentication with LDAP and Kerberos. Password based, X.509 certificate, and SSH key authentication.yes infousers and table-level permissionsno

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BadgerClickHouseRethinkDBSphinx
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