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DBMS > Badger vs. Elasticsearch vs. Hive

System Properties Comparison Badger vs. Elasticsearch vs. Hive

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonElasticsearch  Xexclude from comparisonHive  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 metricdata warehouse software for querying and managing large distributed datasets, built on Hadoop
Primary database modelKey-value storeSearch engineRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.25
Rank#315  Overall
#46  Key-value stores
Score134.79
Rank#7  Overall
#1  Search engines
Score64.82
Rank#18  Overall
#12  Relational DBMS
Websitegithub.com/­dgraph-io/­badgerwww.elastic.co/­elasticsearchhive.apache.org
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlcwiki.apache.org/­confluence/­display/­Hive/­Home
DeveloperDGraph LabsElasticApache Software Foundation infoinitially developed by Facebook
Initial release201720102012
Current release8.6, January 20233.1.3, April 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoElastic LicenseOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoJavaJava
Server operating systemsBSD
Linux
OS X
Solaris
Windows
All OS with a Java VMAll OS with a Java VM
Data schemeschema-freeschema-free infoFlexible type definitions. Once a type is defined, it is persistentyes
Typing infopredefined data types such as float or datenoyesyes
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.nono
Secondary indexesnoyes infoAll search fields are automatically indexedyes
SQL infoSupport of SQLnoSQL-like query languageSQL-like DML and DDL statements
APIs and other access methodsJava API
RESTful HTTP/JSON API
JDBC
ODBC
Thrift
Supported programming languagesGo.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
C++
Java
PHP
Python
Server-side scripts infoStored proceduresnoyesyes infouser defined functions and integration of map-reduce
Triggersnoyes infoby using the 'percolation' featureno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoES-Hadoop Connectoryes infoquery execution via MapReduce
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, allEventual Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noMemcached and Redis integration
User concepts infoAccess controlnoAccess rights for users, groups and roles

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More resources
BadgerElasticsearchHive
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