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DBMS > GeoSpock vs. Lovefield vs. Milvus vs. Qdrant vs. WakandaDB

System Properties Comparison GeoSpock vs. Lovefield vs. Milvus vs. Qdrant vs. WakandaDB

Editorial information provided by DB-Engines
NameGeoSpock  Xexclude from comparisonLovefield  Xexclude from comparisonMilvus  Xexclude from comparisonQdrant  Xexclude from comparisonWakandaDB  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionSpatial and temporal data processing engine for extreme data scaleEmbeddable relational database for web apps written in pure JavaScriptA DBMS designed for efficient storage of vector data and vector similarity searchesA high-performance vector database with neural network or semantic-based matchingWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelRelational DBMSRelational DBMSVector DBMSVector DBMSObject oriented DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.33
Rank#286  Overall
#131  Relational DBMS
Score2.78
Rank#103  Overall
#3  Vector DBMS
Score1.28
Rank#167  Overall
#6  Vector DBMS
Score0.10
Rank#356  Overall
#16  Object oriented DBMS
Websitegeospock.comgoogle.github.io/­lovefieldmilvus.iogithub.com/­qdrant/­qdrant
qdrant.tech
wakanda.github.io
Technical documentationgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdmilvus.io/­docs/­overview.mdqdrant.tech/­documentationwakanda.github.io/­doc
DeveloperGeoSpockGoogleQdrantWakanda SAS
Initial release2014201920212012
Current release2.0, September 20192.1.12, February 20172.3.4, January 20242.7.0 (April 29, 2019), April 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoApache Version 2.0Open Source infoApache Version 2.0Open Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnononono
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 languageJava, JavascriptJavaScriptC++, GoRustC++, JavaScript
Server operating systemshostedserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Docker
Linux
macOS
Windows
Linux
OS X
Windows
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesVector, Numeric and StringNumbers, Strings, Geo, Booleanyes
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
Secondary indexestemporal, categoricalyesnoyes infoKeywords, numberic ranges, geo, full-text
SQL infoSupport of SQLANSI SQL for query only (using Presto)SQL-like query language infovia JavaScript builder patternnonono
APIs and other access methodsJDBCRESTful HTTP APIgRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
RESTful HTTP API
Supported programming languagesJavaScriptC++
Go
Java
JavaScript (Node.js)
Python
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
JavaScript
Server-side scripts infoStored proceduresnononoyes
TriggersnoUsing read-only observersnoyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingnoneShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneCollection-level replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Eventual Consistency, tunable consistencyImmediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infousing MemoryDByesyesno
User concepts infoAccess controlAccess rights for users can be defined per tablenoRole based access control and fine grained access rightsKey-based authenticationyes
More information provided by the system vendor
GeoSpockLovefieldMilvusQdrantWakandaDB
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
GeoSpockLovefieldMilvusQdrantWakandaDB
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