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DBMS > Badger vs. LevelDB vs. RocksDB vs. Sphinx

System Properties Comparison Badger vs. LevelDB vs. RocksDB vs. Sphinx

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonLevelDB  Xexclude from comparisonRocksDB  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Embeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesEmbeddable persistent key-value store optimized for fast storage (flash and RAM)Open source search engine for searching in data from different sources, e.g. relational databases
Primary database modelKey-value storeKey-value storeKey-value storeSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.14
Rank#302  Overall
#44  Key-value stores
Score2.90
Rank#98  Overall
#17  Key-value stores
Score3.82
Rank#87  Overall
#14  Key-value stores
Score7.61
Rank#55  Overall
#5  Search engines
Websitegithub.com/­dgraph-io/­badgergithub.com/­google/­leveldbrocksdb.orgsphinxsearch.com
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgergithub.com/­google/­leveldb/­blob/­master/­doc/­index.mdgithub.com/­facebook/­rocksdb/­wikisphinxsearch.com/­docs
DeveloperDGraph LabsGoogleFacebook, Inc.Sphinx Technologies Inc.
Initial release2017201120132001
Current release1.23, February 20216.22.1, July 20213.4.1, July 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoBSDOpen Source infoBSDOpen 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
Illumos
Linux
OS X
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or datenononono
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 indexesnononoyes infofull-text index on all search fields
SQL infoSupport of SQLnononoSQL-like query language (SphinxQL)
APIs and other access methodsC++ API
Java API
Proprietary protocol
Supported programming languagesGoC++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
C++
Java
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnononono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesnonenonenoneSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesnonenonenonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoyesno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infowith automatic compression on writesyesyes 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
User concepts infoAccess controlnononono

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More resources
BadgerLevelDBRocksDBSphinx
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