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DBMS > GeoSpock vs. Milvus vs. PouchDB vs. Prometheus vs. Transwarp Hippo

System Properties Comparison GeoSpock vs. Milvus vs. PouchDB vs. Prometheus vs. Transwarp Hippo

Editorial information provided by DB-Engines
NameGeoSpock  Xexclude from comparisonMilvus  Xexclude from comparisonPouchDB  Xexclude from comparisonPrometheus  Xexclude from comparisonTranswarp Hippo  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 scaleA 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 systemCloud-native distributed Vector DBMS that supports storage, retrieval, and management of massive vector-based datasets
Primary database modelRelational DBMSVector DBMSDocument storeTime Series DBMSVector DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.01
Rank#89  Overall
#4  Vector DBMS
Score2.18
Rank#114  Overall
#21  Document stores
Score7.56
Rank#49  Overall
#3  Time Series DBMS
Score0.00
Rank#385  Overall
#16  Vector DBMS
Websitegeospock.commilvus.iopouchdb.comprometheus.iowww.transwarp.cn/­en/­subproduct/­hippo
Technical documentationmilvus.io/­docs/­overview.mdpouchdb.com/­guidesprometheus.io/­docs
DeveloperGeoSpockApache Software Foundation
Initial release2019201220152023
Current release2.0, September 20192.4.4, May 20247.1.1, June 20191.0, May 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open SourceOpen Source infoApache 2.0commercial
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, JavascriptC++, GoJavaScriptGoC++
Server operating systemshostedLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
server-less, requires a JavaScript environment (browser, Node.js)Linux
Windows
Linux
macOS
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesVector, Numeric and StringnoNumeric data onlyVector, Numeric and String
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.nononono infoImport of XML data possibleno
Secondary indexestemporal, categoricalnoyes infovia viewsnono
SQL infoSupport of SQLANSI SQL for query only (using Presto)nononono
APIs and other access methodsJDBCRESTful HTTP APIHTTP REST infoonly for PouchDB Server
JavaScript API
RESTful HTTP/JSON APIRESTful HTTP API
Supported programming languagesC++
Go
Java
JavaScript (Node.js)
Python
JavaScript.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
C++
Java
Python
Server-side scripts infoStored proceduresnonoView functions in JavaScriptnono
Triggersnonoyesnono
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardingSharding infowith a proxy-based framework, named couchdb-loungeShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-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 methodsnonoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Eventual ConsistencynoneImmediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonononono
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.noyesyesnoyes
User concepts infoAccess controlAccess rights for users can be defined per tableRole based access control and fine grained access rightsnonoRole based access control and fine grained access rights
More information provided by the system vendor
GeoSpockMilvusPouchDBPrometheusTranswarp Hippo
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
GeoSpockMilvusPouchDBPrometheusTranswarp Hippo
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Recent citations in the news

How GeoSpock is supercharging geospatial analytics
23 February 2021, ComputerWeekly.com

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2 October 2020, CoinGeek

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16 May 2018, ExchangeWire

GeoSpock’s extreme-scale data mission in $5.4m funding boost
8 October 2020, Cambridge Independent

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IBM watsonx.data’s integrated vector database: unify, prepare, and deliver your data for AI
9 April 2024, IBM

10 top vector database options for similarity searches
8 August 2024, TechTarget

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20 March 2024, GlobeNewswire

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Getting Started with PouchDB Client-Side JavaScript Database
7 September 2016, SitePoint

Create Offline Web Apps Using Service Workers & PouchDB
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