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DBMS > Google Cloud Firestore vs. Hazelcast vs. PouchDB vs. RRDtool

System Properties Comparison Google Cloud Firestore vs. Hazelcast vs. PouchDB vs. RRDtool

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Editorial information provided by DB-Engines
NameGoogle Cloud Firestore  Xexclude from comparisonHazelcast  Xexclude from comparisonPouchDB  Xexclude from comparisonRRDtool  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.A widely adopted in-memory data gridJavaScript DBMS with an API inspired by CouchDBIndustry standard data logging and graphing tool for time series data. RRD is an acronym for round-robin database. infoThe data is stored in a circular buffer, thus the system storage footprint remains constant over time.
Primary database modelDocument storeKey-value storeDocument storeTime Series DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.85
Rank#51  Overall
#8  Document stores
Score5.97
Rank#57  Overall
#6  Key-value stores
Score2.28
Rank#115  Overall
#21  Document stores
Score1.87
Rank#136  Overall
#11  Time Series DBMS
Websitefirebase.google.com/­products/­firestorehazelcast.compouchdb.comoss.oetiker.ch/­rrdtool
Technical documentationfirebase.google.com/­docs/­firestorehazelcast.org/­imdg/­docspouchdb.com/­guidesoss.oetiker.ch/­rrdtool/­doc
DeveloperGoogleHazelcastApache Software FoundationTobias Oetiker
Initial release2017200820121999
Current release5.3.6, November 20237.1.1, June 20191.8.0, 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; commercial licenses availableOpen SourceOpen Source infoGPL V2 and FLOSS
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaScriptC infoImplementations in Java (e.g. RRD4J) and C# available
Server operating systemshostedAll OS with a Java VMserver-less, requires a JavaScript environment (browser, Node.js)HP-UX
Linux
Data schemeschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoNumeric data only
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.noyes infothe object must implement a serialization strategynono infoExporting into and restoring from XML files possible
Secondary indexesyesyesyes infovia viewsno
SQL infoSupport of SQLnoSQL-like query languagenono
APIs and other access methodsAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
JCache
JPA
Memcached protocol
RESTful HTTP API
HTTP REST infoonly for PouchDB Server
JavaScript API
in-process shared library
Pipes
Supported programming languagesGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
JavaScriptC infowith librrd library
C# infowith a different implementation of RRDTool
Java infowith a different implementation of RRDTool
JavaScript (Node.js) infowith a different implementation of RRDTool
Lua
Perl
PHP infowith a wrapper library
Python
Ruby
Server-side scripts infoStored proceduresyes, Firebase Rules & Cloud Functionsyes infoEvent Listeners, Executor ServicesView functions in JavaScriptno
Triggersyes, with Cloud Functionsyes infoEventsyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infowith a proxy-based framework, named couchdb-loungenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyes infoReplicated MapMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsUsing Cloud Dataflowyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmEventual Consistencynone
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesone or two-phase-commit; repeatable reads; read commitednono
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoby using the rrdcached daemon
Durability infoSupport for making data persistentyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
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.Role-based access controlnono

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More resources
Google Cloud FirestoreHazelcastPouchDBRRDtool
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