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DBMS > Badger vs. Elasticsearch vs. OrigoDB vs. Sphinx vs. Warp 10

System Properties Comparison Badger vs. Elasticsearch vs. OrigoDB vs. Sphinx vs. Warp 10

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonElasticsearch  Xexclude from comparisonOrigoDB  Xexclude from comparisonSphinx  Xexclude from comparisonWarp 10  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.A distributed, RESTful modern search and analytics engine based on Apache Lucene infoElasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metricA fully ACID in-memory object graph databaseOpen source search engine for searching in data from different sources, e.g. relational databasesTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelKey-value storeSearch engineDocument store
Object oriented DBMS
Search engineTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.14
Rank#331  Overall
#49  Key-value stores
Score135.35
Rank#7  Overall
#1  Search engines
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Score0.07
Rank#349  Overall
#32  Time Series DBMS
Websitegithub.com/­dgraph-io/­badgerwww.elastic.co/­elasticsearchorigodb.comsphinxsearch.comwww.warp10.io
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlorigodb.com/­docssphinxsearch.com/­docswww.warp10.io/­content/­02_Getting_started
DeveloperDGraph LabsElasticRobert Friberg et alSphinx Technologies Inc.SenX
Initial release201720102009 infounder the name LiveDB20012015
Current release8.6, January 20233.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoElastic LicenseOpen SourceOpen Source infoGPL version 2, commercial licence availableOpen Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoJavaC#C++Java
Server operating systemsBSD
Linux
OS X
Solaris
Windows
All OS with a Java VMLinux
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
OS X
Windows
Data schemeschema-freeschema-free infoFlexible type definitions. Once a type is defined, it is persistentyesyesschema-free
Typing infopredefined data types such as float or datenoyesUser defined using .NET types and collectionsnoyes
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 infocan be achieved using .NETno
Secondary indexesnoyes infoAll search fields are automatically indexedyesyes infofull-text index on all search fieldsno
SQL infoSupport of SQLnoSQL-like query languagenoSQL-like query language (SphinxQL)no
APIs and other access methodsJava API
RESTful HTTP/JSON API
.NET Client API
HTTP API
LINQ
Proprietary protocolHTTP API
Jupyter
WebSocket
Supported programming languagesGo.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
.NetC++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnoyesyesnoyes infoWarpScript
Triggersnoyes infoby using the 'percolation' featureyes infoDomain Eventsnono
Partitioning methods infoMethods for storing different data on different nodesnoneShardinghorizontal partitioning infoclient side managed; servers are not synchronizedSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesSource-replica replicationnoneselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoES-Hadoop Connectornonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynonodepending on modelnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoWrite ahead logyes 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.noMemcached and Redis integrationyesyes
User concepts infoAccess controlnoRole based authorizationnoMandatory use of cryptographic tokens, containing fine-grained authorizations

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More resources
BadgerElasticsearchOrigoDBSphinxWarp 10
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