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DBMS > Google Cloud Firestore vs. Hawkular Metrics vs. PlanetScale vs. Prometheus vs. SpaceTime

System Properties Comparison Google Cloud Firestore vs. Hawkular Metrics vs. PlanetScale vs. Prometheus vs. SpaceTime

Editorial information provided by DB-Engines
NameGoogle Cloud Firestore  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonPlanetScale  Xexclude from comparisonPrometheus  Xexclude from comparisonSpaceTime  Xexclude from comparison
DescriptionCloud 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.Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Scalable, distributed, serverless MySQL database platform built on top of VitessOpen-source Time Series DBMS and monitoring systemSpaceTime is a spatio-temporal DBMS with a focus on performance.
Primary database modelDocument storeTime Series DBMSRelational DBMSTime Series DBMSSpatial DBMS
Secondary database modelsDocument store
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.36
Rank#53  Overall
#9  Document stores
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score1.49
Rank#155  Overall
#72  Relational DBMS
Score7.69
Rank#50  Overall
#3  Time Series DBMS
Score0.03
Rank#392  Overall
#8  Spatial DBMS
Websitefirebase.google.com/­products/­firestorewww.hawkular.orgplanetscale.comprometheus.iowww.mireo.com/­spacetime
Technical documentationfirebase.google.com/­docs/­firestorewww.hawkular.org/­hawkular-metrics/­docs/­user-guideplanetscale.com/­docsprometheus.io/­docs
DeveloperGoogleCommunity supported by Red HatPlanetScaleMireo
Initial release20172014202020152020
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesnoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaGoGoC++
Server operating systemshostedLinux
OS X
Windows
Docker
Linux
macOS
Linux
Windows
Linux
Data schemeschema-freeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyesyesNumeric data onlyyes
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 infoImport of XML data possibleno
Secondary indexesyesnoyesnono
SQL infoSupport of SQLnonoyes infowith proprietary extensionsnoA subset of ANSI SQL is implemented
APIs and other access methodsAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
HTTP RESTADO.NET
JDBC
MySQL protocol
ODBC
RESTful HTTP/JSON APIRESTful HTTP API
Supported programming languagesGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
Go
Java
Python
Ruby
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
C#
C++
Python
Server-side scripts infoStored proceduresyes, Firebase Rules & Cloud Functionsnoyes infoproprietary syntaxnono
Triggersyes, with Cloud Functionsyes infovia Hawkular Alertingyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on CassandraShardingShardingFixed-grid hypercubes
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationselectable replication factor infobased on CassandraMulti-source replication
Source-replica replication
yes infoby FederationReal-time block device replication (DRBD)
MapReduce infoOffers an API for user-defined Map/Reduce methodsUsing Cloud Dataflownononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual Consistency across shards
Immediate Consistency within a shard
noneImmediate Consistency
Foreign keys infoReferential integritynonoyes infonot for MyISAM storage enginenono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACID at shard levelnono
Concurrency infoSupport for concurrent manipulation of datayesyesyes infotable locks or row locks depending on storage engineyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnono
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.noUsers with fine-grained authorization concept infono user groups or rolesnoyes

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More resources
Google Cloud FirestoreHawkular MetricsPlanetScalePrometheusSpaceTime
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