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DBMS > Brytlyt vs. Firebase Realtime Database vs. Milvus vs. Newts vs. PouchDB

System Properties Comparison Brytlyt vs. Firebase Realtime Database vs. Milvus vs. Newts vs. PouchDB

Editorial information provided by DB-Engines
NameBrytlyt  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonMilvus  Xexclude from comparisonNewts  Xexclude from comparisonPouchDB  Xexclude from comparison
DescriptionScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.A DBMS designed for efficient storage of vector data and vector similarity searchesTime Series DBMS based on CassandraJavaScript DBMS with an API inspired by CouchDB
Primary database modelRelational DBMSDocument storeVector DBMSTime Series DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#288  Overall
#131  Relational DBMS
Score14.29
Rank#39  Overall
#6  Document stores
Score2.31
Rank#113  Overall
#3  Vector DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score2.28
Rank#115  Overall
#21  Document stores
Websitebrytlyt.iofirebase.google.com/­products/­realtime-databasemilvus.ioopennms.github.io/­newtspouchdb.com
Technical documentationdocs.brytlyt.iofirebase.google.com/­docs/­databasemilvus.io/­docs/­overview.mdgithub.com/­OpenNMS/­newts/­wikipouchdb.com/­guides
DeveloperBrytlytGoogle infoacquired by Google 2014OpenNMS GroupApache Software Foundation
Initial release20162012201920142012
Current release5.0, August 20232.3.4, January 20247.1.1, June 2019
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2.0Open Source infoApache 2.0Open Source
Cloud-based only infoOnly available as a cloud servicenoyesnonono
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 languageC, C++ and CUDAC++, GoJavaJavaScript
Server operating systemsLinux
OS X
Windows
hostedLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Linux
OS X
Windows
server-less, requires a JavaScript environment (browser, Node.js)
Data schemeyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesVector, Numeric and Stringyesno
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.yes infospecific XML-type available, but no XML query functionality.nononono
Secondary indexesyesyesnonoyes infovia views
SQL infoSupport of SQLyesnononono
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Android
iOS
JavaScript API
RESTful HTTP API
RESTful HTTP APIHTTP REST
Java API
HTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languages.Net
C
C++
Delphi
Java
Perl
Python
Tcl
Java
JavaScript
Objective-C
C++
Go
Java
JavaScript (Node.js)
Python
JavaJavaScript
Server-side scripts infoStored proceduresuser defined functions infoin PL/pgSQLlimited functionality with using 'rules'nonoView functions in JavaScript
TriggersyesCallbacks are triggered when data changesnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on CassandraSharding infowith a proxy-based framework, named couchdb-lounge
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factor infobased on CassandraMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Bounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Eventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual Consistency
Foreign keys infoReferential integrityyesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backend
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardyes, based on authentication and database rulesRole based access control and fine grained access rightsnono
More information provided by the system vendor
BrytlytFirebase Realtime DatabaseMilvusNewtsPouchDB
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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BrytlytFirebase Realtime DatabaseMilvusNewtsPouchDB
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