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DBMS > Badger vs. DataFS vs. Elasticsearch vs. Qdrant

System Properties Comparison Badger vs. DataFS vs. Elasticsearch vs. Qdrant

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonDataFS  Xexclude from comparisonElasticsearch  Xexclude from comparisonQdrant  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.All data is stored inside objects which are linked by so-called link attributes. Objects consist of classes which can be extended and de-extended at runtime. Graphs can be defined with a struct.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 high-performance vector database with neural network or semantic-based matching
Primary database modelKey-value storeObject oriented DBMSSearch engineVector DBMS
Secondary database modelsGraph DBMSDocument store
Spatial DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#320  Overall
#47  Key-value stores
Score0.09
Rank#360  Overall
#17  Object oriented DBMS
Score132.83
Rank#7  Overall
#1  Search engines
Score1.28
Rank#167  Overall
#6  Vector DBMS
Websitegithub.com/­dgraph-io/­badgernewdatabase.comwww.elastic.co/­elasticsearchgithub.com/­qdrant/­qdrant
qdrant.tech
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdev.mobiland.com/­Overview.xspwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlqdrant.tech/­documentation
DeveloperDGraph LabsMobiland AGElasticQdrant
Initial release2017201820102021
Current release1.1.263, October 20228.6, January 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoElastic LicenseOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoJavaRust
Server operating systemsBSD
Linux
OS X
Solaris
Windows
WindowsAll OS with a Java VMDocker
Linux
macOS
Windows
Data schemeschema-freeClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)schema-free infoFlexible type definitions. Once a type is defined, it is persistentschema-free
Typing infopredefined data types such as float or datenoyesyesNumbers, Strings, Geo, Boolean
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.nononono
Secondary indexesnonoyes infoAll search fields are automatically indexedyes infoKeywords, numberic ranges, geo, full-text
SQL infoSupport of SQLnonoSQL-like query languageno
APIs and other access methods.NET Client API
Proprietary client DLL
WinRT client
Java API
RESTful HTTP/JSON API
gRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
Supported programming languagesGo.Net
C
C#
C++
VB.Net
.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresnoyes
Triggersnono, except callback-events from server when changes happenedyes infoby using the 'percolation' feature
Partitioning methods infoMethods for storing different data on different nodesnoneProprietary Sharding systemShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesCollection-level replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoES-Hadoop Connectorno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allEventual Consistency, tunable consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoMemcached and Redis integrationyes
User concepts infoAccess controlnoWindows-ProfileKey-based authentication

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More resources
BadgerDataFSElasticsearchQdrant
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