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DBMS > Dolt vs. HEAVY.AI vs. Milvus vs. PouchDB vs. Prometheus

System Properties Comparison Dolt vs. HEAVY.AI vs. Milvus vs. PouchDB vs. Prometheus

Editorial information provided by DB-Engines
NameDolt  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonMilvus  Xexclude from comparisonPouchDB  Xexclude from comparisonPrometheus  Xexclude from comparison
DescriptionA MySQL compatible DBMS with Git-like versioning of data and schemaA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareA 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 system
Primary database modelRelational DBMSRelational DBMSVector DBMSDocument storeTime Series DBMS
Secondary database modelsDocument storeSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.02
Rank#191  Overall
#89  Relational DBMS
Score1.64
Rank#145  Overall
#67  Relational DBMS
Score2.78
Rank#103  Overall
#3  Vector DBMS
Score2.34
Rank#112  Overall
#21  Document stores
Score7.69
Rank#50  Overall
#3  Time Series DBMS
Websitegithub.com/­dolthub/­dolt
www.dolthub.com
github.com/­heavyai/­heavydb
www.heavy.ai
milvus.iopouchdb.comprometheus.io
Technical documentationdocs.dolthub.comdocs.heavy.aimilvus.io/­docs/­overview.mdpouchdb.com/­guidesprometheus.io/­docs
DeveloperDoltHub IncHEAVY.AI, Inc.Apache Software Foundation
Initial release20182016201920122015
Current release5.10, January 20222.3.4, January 20247.1.1, June 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2; enterprise edition availableOpen Source infoApache Version 2.0Open SourceOpen Source infoApache 2.0
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 languageGoC++ and CUDAC++, GoJavaScriptGo
Server operating systemsLinux
macOS
Windows
LinuxLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
server-less, requires a JavaScript environment (browser, Node.js)Linux
Windows
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesVector, Numeric and StringnoNumeric data only
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.nonononono infoImport of XML data possible
Secondary indexesyesnonoyes infovia viewsno
SQL infoSupport of SQLyesyesnonono
APIs and other access methodsCLI Client
HTTP REST
JDBC
ODBC
Thrift
Vega
RESTful HTTP APIHTTP REST infoonly for PouchDB Server
JavaScript API
RESTful HTTP/JSON API
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
All languages supporting JDBC/ODBC/Thrift
Python
C++
Go
Java
JavaScript (Node.js)
Python
JavaScript.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresyes infocurrently in alpha releasenonoView functions in JavaScriptno
Triggersyesnonoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoRound robinShardingSharding infowith a proxy-based framework, named couchdb-loungeSharding
Replication methods infoMethods for redundantly storing data on multiple nodesA database can be cloned to multiple locations and be used there in isolation. Data/schema changes can be pushed/pulled explicitly between locations.Multi-source replicationMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
yes infoby Federation
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesno
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 persistentyesyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesno
User concepts infoAccess controlOnly one user is configurable, and must be specified in the config file at startupfine grained access rights according to SQL-standardRole based access control and fine grained access rightsnono
More information provided by the system vendor
DoltHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022MilvusPouchDBPrometheus
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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More resources
DoltHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022MilvusPouchDBPrometheus
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