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DBMS > Firebase Realtime Database vs. GeoMesa vs. HarperDB vs. Milvus

System Properties Comparison Firebase Realtime Database vs. GeoMesa vs. HarperDB vs. Milvus

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Editorial information provided by DB-Engines
NameFirebase Realtime Database  Xexclude from comparisonGeoMesa  Xexclude from comparisonHarperDB  Xexclude from comparisonMilvus  Xexclude from comparison
DescriptionCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.GeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.HarperDB takes the "stack" out of "tech stack" by combining an ultra-fast document-style data store, in-memory cache, real-time message broker, and your application components into a single distributed technology.A DBMS designed for efficient storage of vector data and vector similarity searches
Primary database modelDocument storeSpatial DBMSDocument storeVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.60
Rank#39  Overall
#6  Document stores
Score0.78
Rank#214  Overall
#4  Spatial DBMS
Score0.55
Rank#243  Overall
#38  Document stores
Score3.01
Rank#89  Overall
#4  Vector DBMS
Websitefirebase.google.com/­products/­realtime-databasewww.geomesa.orgwww.harperdb.iomilvus.io
Technical documentationfirebase.google.com/­docs/­databasewww.geomesa.org/­documentation/­stable/­user/­index.htmldocs.harperdb.io/­docsmilvus.io/­docs/­overview.md
DeveloperGoogle infoacquired by Google 2014CCRi and othersHarperDB
Initial release2012201420172019
Current release5.0.1, July 20243.1, August 20212.4.4, May 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache License 2.0commercial infofree community edition availableOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
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 languageScalaNode.jsC++, Go
Server operating systemshostedLinux
OS X
Linux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Data schemeschema-freeyesdynamic schema
Typing infopredefined data types such as float or dateyesyesyes infoJSON data typesVector, 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
Secondary indexesyesyesyesno
SQL infoSupport of SQLnonoSQL-like data manipulation statementsno
APIs and other access methodsAndroid
iOS
JavaScript API
RESTful HTTP API
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
RESTful HTTP API
Supported programming languagesJava
JavaScript
Objective-C
.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored procedureslimited functionality with using 'rules'noCustom Functions infosince release 3.1no
TriggersCallbacks are triggered when data changesnonono
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layerA table resides as a whole on one (or more) nodes in a clusterSharding
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layeryes infothe nodes on which a table resides can be defined
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
depending on storage layerImmediate ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoAtomic execution of specific operationsno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes, using LMDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.depending on storage layeryesyes
User concepts infoAccess controlyes, based on authentication and database rulesyes infodepending on the DBMS used for storageAccess rights for users and rolesRole based access control and fine grained access rights
More information provided by the system vendor
Firebase Realtime DatabaseGeoMesaHarperDBMilvus
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
Firebase Realtime DatabaseGeoMesaHarperDBMilvus
DB-Engines blog posts

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