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DBMS > Lovefield vs. Milvus vs. PouchDB vs. Teradata

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

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Editorial information provided by DB-Engines
NameLovefield  Xexclude from comparisonMilvus  Xexclude from comparisonPouchDB  Xexclude from comparisonTeradata  Xexclude from comparison
DescriptionEmbeddable relational database for web apps written in pure JavaScriptA DBMS designed for efficient storage of vector data and vector similarity searchesJavaScript DBMS with an API inspired by CouchDBA hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelRelational DBMSVector DBMSDocument storeRelational 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
Score0.29
Rank#293  Overall
#133  Relational DBMS
Score2.31
Rank#113  Overall
#3  Vector DBMS
Score2.28
Rank#115  Overall
#21  Document stores
Score45.33
Rank#21  Overall
#15  Relational DBMS
Websitegoogle.github.io/­lovefieldmilvus.iopouchdb.comwww.teradata.com
Technical documentationgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdmilvus.io/­docs/­overview.mdpouchdb.com/­guidesdocs.teradata.com
DeveloperGoogleApache Software FoundationTeradata
Initial release2014201920121984
Current release2.1.12, February 20172.3.4, January 20247.1.1, June 2019Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2.0Open Sourcecommercial
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 languageJavaScriptC++, GoJavaScript
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
server-less, requires a JavaScript environment (browser, Node.js)hosted
Linux
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesVector, Numeric and Stringnoyes
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 indexesyesnoyes infovia viewsyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLSQL-like query language infovia JavaScript builder patternnonoyes infoSQL 2016 + extensions
APIs and other access methodsRESTful HTTP APIHTTP REST infoonly for PouchDB Server
JavaScript API
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languagesJavaScriptC++
Go
Java
JavaScript (Node.js)
Python
JavaScriptC
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresnonoView functions in JavaScriptyes infoUDFs, stored procedures, table functions in parallel
TriggersUsing read-only observersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infowith a proxy-based framework, named couchdb-loungeSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyesyes 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.yes infousing MemoryDByesyesyes
User concepts infoAccess controlnoRole based access control and fine grained access rightsnofine grained access rights according to SQL-standard
More information provided by the system vendor
LovefieldMilvusPouchDBTeradata
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
LovefieldMilvusPouchDBTeradata
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