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DBMS > Brytlyt vs. Milvus vs. PouchDB vs. Prometheus vs. STSdb

System Properties Comparison Brytlyt vs. Milvus vs. PouchDB vs. Prometheus vs. STSdb

Editorial information provided by DB-Engines
NameBrytlyt  Xexclude from comparisonMilvus  Xexclude from comparisonPouchDB  Xexclude from comparisonPrometheus  Xexclude from comparisonSTSdb  Xexclude from comparison
DescriptionScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLA DBMS designed for efficient storage of vector data and vector similarity searchesJavaScript DBMS with an API inspired by CouchDBOpen-source Time Series DBMS and monitoring systemKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelRelational DBMSVector DBMSDocument storeTime Series DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#288  Overall
#131  Relational DBMS
Score2.31
Rank#113  Overall
#3  Vector DBMS
Score2.28
Rank#115  Overall
#21  Document stores
Score8.42
Rank#47  Overall
#2  Time Series DBMS
Score0.04
Rank#360  Overall
#52  Key-value stores
Websitebrytlyt.iomilvus.iopouchdb.comprometheus.iogithub.com/­STSSoft/­STSdb4
Technical documentationdocs.brytlyt.iomilvus.io/­docs/­overview.mdpouchdb.com/­guidesprometheus.io/­docs
DeveloperBrytlytApache Software FoundationSTS Soft SC
Initial release20162019201220152011
Current release5.0, August 20232.3.4, January 20247.1.1, June 20194.0.8, September 2015
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open SourceOpen Source infoApache 2.0Open Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
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++, GoJavaScriptGoC#
Server operating systemsLinux
OS X
Windows
Linux
macOS info10.14 or later
Windows infowith WSL 2 enabled
server-less, requires a JavaScript environment (browser, Node.js)Linux
Windows
Windows
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesVector, Numeric and StringnoNumeric data onlyyes infoprimitive types and user defined types (classes)
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.nonono infoImport of XML data possible
Secondary indexesyesnoyes infovia viewsnono
SQL infoSupport of SQLyesnononono
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
RESTful HTTP APIHTTP REST infoonly for PouchDB Server
JavaScript API
RESTful HTTP/JSON API.NET Client API
Supported programming languages.Net
C
C++
Delphi
Java
Perl
Python
Tcl
C++
Go
Java
JavaScript (Node.js)
Python
JavaScript.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
C#
Java
Server-side scripts infoStored proceduresuser defined functions infoin PL/pgSQLnoView functions in JavaScriptnono
Triggersyesnoyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infowith a proxy-based framework, named couchdb-loungeShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
yes infoby Federationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Eventual Consistencynone
Foreign keys infoReferential integrityyesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnononono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardRole based access control and fine grained access rightsnonono
More information provided by the system vendor
BrytlytMilvusPouchDBPrometheusSTSdb
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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BrytlytMilvusPouchDBPrometheusSTSdb
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