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DBMS > Badger vs. Elasticsearch vs. FileMaker vs. Milvus

System Properties Comparison Badger vs. Elasticsearch vs. FileMaker vs. Milvus

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonElasticsearch  Xexclude from comparisonFileMaker  Xexclude from comparisonMilvus  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 metricFileMaker is a cross-platform RDBMS that includes a GUI frontend.A DBMS designed for efficient storage of vector data and vector similarity searches
Primary database modelKey-value storeSearch engineRelational DBMSVector DBMS
Secondary database modelsDocument 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
Score132.83
Rank#7  Overall
#1  Search engines
Score47.91
Rank#20  Overall
#14  Relational DBMS
Score2.78
Rank#103  Overall
#4  Vector DBMS
Websitegithub.com/­dgraph-io/­badgerwww.elastic.co/­elasticsearchwww.claris.com/­filemakermilvus.io
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlwww.claris.com/­resources/­documentationmilvus.io/­docs/­overview.md
DeveloperDGraph LabsElasticClaris infoa subsidiary of Apple
Initial release2017201019832019
Current release8.6, January 202319.4.1, November 20212.4.4, May 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoElastic LicensecommercialOpen Source infoApache Version 2.0
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.
Zilliz Cloud – Cloud-native service for Milvus
Implementation languageGoJavaC++, Go
Server operating systemsBSD
Linux
OS X
Solaris
Windows
All OS with a Java VMiOS infoclient part only
Linux
OS X
Windows
Linux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Data schemeschema-freeschema-free infoFlexible type definitions. Once a type is defined, it is persistentyes
Typing infopredefined data types such as float or datenoyesyesVector, Numeric and String
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.nonoyes infoA http query request can return the data in XML formatno
Secondary indexesnoyes infoAll search fields are automatically indexedyesno
SQL infoSupport of SQLnoSQL-like query languageyes infovia pluginsno
APIs and other access methodsJava API
RESTful HTTP/JSON API
Filemaker WebDirect
JDBC
ODBC
RESTful HTTP API
Supported programming languagesGo.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
PHPC++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoyesyesno
Triggersnoyes infoby using the 'percolation' featureyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesSource-replica replication, warm standby infosince Version 14
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoES-Hadoop Connectornono
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, allBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononono
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.noMemcached and Redis integrationyes
User concepts infoAccess controlnosimple rights management via user accounts and connection to external directory servicesRole based access control and fine grained access rights
More information provided by the system vendor
BadgerElasticsearchFileMakerMilvus
Specific characteristicsMilvus is an open-source and cloud-native vector database built for production-ready...
» more
Competitive advantagesHighly available, versatile, and robust with millisecond latency. Supports batch...
» more
Typical application scenariosRAG: retrieval augmented generation Video media : video understanding, video deduplication....
» more
Key customersMilvus is trusted by thousands of enterprises, including PayPal, eBay, IKEA, LINE,...
» more
Market metricsAs of January 2024, 25k+ GitHub stars 10M+ downloads and installations​ ​ 3k+ enterprise...
» more
Licensing and pricing modelsMilvus was released under the open-source Apache License 2.0 in October 2019. Fully-managed...
» more

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BadgerElasticsearchFileMakerMilvus
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