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DBMS > Milvus vs. PouchDB vs. Quasardb vs. Teradata

System Properties Comparison Milvus vs. PouchDB vs. Quasardb vs. Teradata

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Editorial information provided by DB-Engines
NameMilvus  Xexclude from comparisonPouchDB  Xexclude from comparisonQuasardb  Xexclude from comparisonTeradata  Xexclude from comparison
DescriptionA DBMS designed for efficient storage of vector data and vector similarity searchesJavaScript DBMS with an API inspired by CouchDBDistributed, high-performance timeseries databaseA hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelVector DBMSDocument storeTime Series DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.78
Rank#103  Overall
#4  Vector DBMS
Score2.34
Rank#112  Overall
#21  Document stores
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Score44.87
Rank#22  Overall
#15  Relational DBMS
Websitemilvus.iopouchdb.comquasar.aiwww.teradata.com
Technical documentationmilvus.io/­docs/­overview.mdpouchdb.com/­guidesdoc.quasar.ai/­masterdocs.teradata.com
DeveloperApache Software FoundationquasardbTeradata
Initial release2019201220091984
Current release2.4.4, May 20247.1.1, June 20193.14.1, January 2024Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Sourcecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensescommercial
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 languageC++, GoJavaScriptC++
Server operating systemsLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
server-less, requires a JavaScript environment (browser, Node.js)BSD
Linux
OS X
Windows
hosted
Linux
Data schemeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateVector, Numeric and Stringnoyes infointeger and binaryyes
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.nononoyes
Secondary indexesnoyes infovia viewsyes infowith tagsyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLnonoSQL-like query languageyes infoSQL 2016 + extensions
APIs and other access methodsRESTful HTTP APIHTTP REST infoonly for PouchDB Server
JavaScript API
HTTP API.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languagesC++
Go
Java
JavaScript (Node.js)
Python
JavaScript.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresnoView functions in JavaScriptnoyes infoUDFs, stored procedures, table functions in parallel
Triggersnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infowith a proxy-based framework, named couchdb-loungeSharding infoconsistent hashingSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
Source-replica replication with selectable replication factorMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyeswith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Eventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infoTransient modeyes
User concepts infoAccess controlRole based access control and fine grained access rightsnoCryptographically strong user authentication and audit trailfine grained access rights according to SQL-standard
More information provided by the system vendor
MilvusPouchDBQuasardbTeradata
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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MilvusPouchDBQuasardbTeradata
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