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DBMS > Google Cloud Firestore vs. Hazelcast vs. Hypertable

System Properties Comparison Google Cloud Firestore vs. Hazelcast vs. Hypertable

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Editorial information provided by DB-Engines
NameGoogle Cloud Firestore  Xexclude from comparisonHazelcast  Xexclude from comparisonHypertable  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
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 gridAn open source BigTable implementation based on distributed file systems such as Hadoop
Primary database modelDocument storeKey-value storeWide column store
Secondary database modelsDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.36
Rank#53  Overall
#9  Document stores
Score5.46
Rank#61  Overall
#7  Key-value stores
Websitefirebase.google.com/­products/­firestorehazelcast.com
Technical documentationfirebase.google.com/­docs/­firestorehazelcast.org/­imdg/­docs
DeveloperGoogleHazelcastHypertable Inc.
Initial release201720082009
Current release5.3.6, November 20230.9.8.11, March 2016
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; commercial licenses availableOpen Source infoGNU version 3. Commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++
Server operating systemshostedAll OS with a Java VMLinux
OS X
Windows infoan inofficial Windows port is available
Data schemeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesno
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 strategy
Secondary indexesyesyesrestricted infoonly exact value or prefix value scans
SQL infoSupport of SQLnoSQL-like query languageno
APIs and other access methodsAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
JCache
JPA
Memcached protocol
RESTful HTTP API
C++ API
Thrift
Supported programming languagesGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C++
Java
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresyes, Firebase Rules & Cloud Functionsyes infoEvent Listeners, Executor Servicesno
Triggersyes, with Cloud Functionsyes infoEventsno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyes infoReplicated Mapselectable replication factor on file system level
MapReduce infoOffers an API for user-defined Map/Reduce methodsUsing Cloud Dataflowyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesone or two-phase-commit; repeatable reads; read commitedno
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.yes
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 controlno

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More resources
Google Cloud FirestoreHazelcastHypertable
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