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DBMS > Badger vs. Ehcache vs. Milvus vs. Trino

System Properties Comparison Badger vs. Ehcache vs. Milvus vs. Trino

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonEhcache  Xexclude from comparisonMilvus  Xexclude from comparisonTrino  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.A widely adopted Java cache with tiered storage optionsA DBMS designed for efficient storage of vector data and vector similarity searchesFast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQL
Primary database modelKey-value storeKey-value storeVector DBMSRelational DBMS
Secondary database modelsDocument store
Key-value store
Spatial DBMS
Search engine
Time Series DBMS
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#320  Overall
#47  Key-value stores
Score4.64
Rank#68  Overall
#8  Key-value stores
Score2.78
Rank#103  Overall
#4  Vector DBMS
Score4.99
Rank#65  Overall
#36  Relational DBMS
Websitegithub.com/­dgraph-io/­badgerwww.ehcache.orgmilvus.iotrino.io
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerwww.ehcache.org/­documentationmilvus.io/­docs/­overview.mdtrino.io/­broadcast
trino.io/­docs/­current
Social network pagesLinkedInTwitterYouTubeGitHub
DeveloperDGraph LabsTerracotta Inc, owned by Software AGTrino Software Foundation
Initial release2017200920192012 info2020 rebranded from PrestoSQL
Current release3.10.0, March 20222.4.4, May 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2; commercial licenses availableOpen Source infoApache Version 2.0Open 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 MilvusStarburst Galaxy offers a feature-rich user interface to connect all your data sources, manage your Trino clusters, and query your data.
Implementation languageGoJavaC++, GoJava
Server operating systemsBSD
Linux
OS X
Solaris
Windows
All OS with a Java VMLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Linux
macOS infofor devlopment
Data schemeschema-freeschema-freeyes
Typing infopredefined data types such as float or datenoyesVector, Numeric and Stringyes
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 indexesnononodepending on connected data-source
SQL infoSupport of SQLnononoyes
APIs and other access methodsJCacheRESTful HTTP APIJDBC
RESTful HTTP API
Trino CLI
Supported programming languagesGoJavaC++
Go
Java
JavaScript (Node.js)
Python
Go
Java
JavaScript (Node.js)
Python
R
Ruby
Server-side scripts infoStored proceduresnononoyes, depending on connected data-source
Triggersnoyes infoCache Event Listenersnono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoby using Terracotta ServerShardingdepending on connected data-source
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infoby using Terracotta Serverdepending on connected data-source
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneTunable Consistency (Strong, Eventual, Weak)Bounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
depending on connected data-source
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyes infosupports JTA and can work as an XA resourcenodepending on connected data-source
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infousing a tiered cache-storage approachyesdepending on connected data-source
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlnonoRole based access control and fine grained access rightsSQL standard access control
More information provided by the system vendor
BadgerEhcacheMilvusTrino
Specific characteristicsMilvus is an open-source and cloud-native vector database built for production-ready...
» more
Trino is the fastest open source, massively parallel processing SQL query engine...
» more
Competitive advantagesHighly available, versatile, and robust with millisecond latency. Supports batch...
» more
High performance analtyics and data processing of very large data sets Powerful ANSI...
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Typical application scenariosRAG: retrieval augmented generation Video media : video understanding, video deduplication....
» more
Performant analytics query engine for data warehouses, data lakes, and data lakehouses...
» more
Key customersMilvus is trusted by thousands of enterprises, including PayPal, eBay, IKEA, LINE,...
» more
Trino is widely adopted across the globe as freely-available open source software....
» more
Market metricsAs of January 2024, 25k+ GitHub stars 10M+ downloads and installations​ ​ 3k+ enterprise...
» more
33000+ commits in GitHub 8200+ stargazers in GitHub 1200+ pull requests merged in...
» more
Licensing and pricing modelsMilvus was released under the open-source Apache License 2.0 in October 2019. Fully-managed...
» more
Trino is an open source project and usage is therefore free. Commercial offerings...
» more
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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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