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DBMS > GeoMesa vs. Google Cloud Firestore vs. VictoriaMetrics

System Properties Comparison GeoMesa vs. Google Cloud Firestore vs. VictoriaMetrics

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Editorial information provided by DB-Engines
NameGeoMesa  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonVictoriaMetrics  Xexclude from comparison
DescriptionGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Cloud Firestore is an auto-scaling document database for storing, syncing, and querying data for mobile and web apps. It offers seamless integration with other Firebase and Google Cloud Platform products.A fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelSpatial DBMSDocument storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.86
Rank#205  Overall
#4  Spatial DBMS
Score7.36
Rank#53  Overall
#9  Document stores
Score1.23
Rank#172  Overall
#15  Time Series DBMS
Websitewww.geomesa.orgfirebase.google.com/­products/­firestorevictoriametrics.com
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmlfirebase.google.com/­docs/­firestoredocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperCCRi and othersGoogleVictoriaMetrics
Initial release201420172018
Current release5.0.0, May 2024v1.91, May 2023
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageScalaGo
Server operating systemshostedFreeBSD
Linux
macOS
OpenBSD
Data schemeyesschema-free
Typing infopredefined data types such as float or dateyesyes
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.nonono
Secondary indexesyesyes
SQL infoSupport of SQLnonono
APIs and other access methodsAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
Graphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Supported programming languagesGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
Server-side scripts infoStored proceduresnoyes, Firebase Rules & Cloud Functionsno
Triggersnoyes, with Cloud Functionsno
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layerSharding
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layerMulti-source replicationSynchronous replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesUsing Cloud Dataflowno
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on storage layerImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.depending on storage layerno
User concepts infoAccess controlyes infodepending on the DBMS used for storageAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.

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More resources
GeoMesaGoogle Cloud FirestoreVictoriaMetrics
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