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DBMS > Google Cloud Firestore vs. Hazelcast vs. SAP SQL Anywhere vs. Vitess

System Properties Comparison Google Cloud Firestore vs. Hazelcast vs. SAP SQL Anywhere vs. Vitess

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Editorial information provided by DB-Engines
NameGoogle Cloud Firestore  Xexclude from comparisonHazelcast  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparisonVitess  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 gridRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environmentsScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelDocument storeKey-value storeRelational DBMSRelational DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12Document store
Spatial DBMS
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
Score3.95
Rank#80  Overall
#42  Relational DBMS
Score0.88
Rank#203  Overall
#95  Relational DBMS
Websitefirebase.google.com/­products/­firestorehazelcast.comwww.sap.com/­products/­technology-platform/­sql-anywhere.htmlvitess.io
Technical documentationfirebase.google.com/­docs/­firestorehazelcast.org/­imdg/­docshelp.sap.com/­docs/­SAP_SQL_Anywherevitess.io/­docs
DeveloperGoogleHazelcastSAP infoformerly SybaseThe Linux Foundation, PlanetScale
Initial release2017200819922013
Current release5.3.6, November 202317, July 201515.0.2, December 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; commercial licenses availablecommercialOpen Source infoApache Version 2.0, commercial licenses available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaGo
Server operating systemshostedAll OS with a Java VMAIX
HP-UX
Linux
OS X
Solaris
Windows
Docker
Linux
macOS
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 strategyyes
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnoSQL-like query languageyesyes infowith proprietary extensions
APIs and other access methodsAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
JCache
JPA
Memcached protocol
RESTful HTTP API
ADO.NET
HTTP API
JDBC
ODBC
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyes, Firebase Rules & Cloud Functionsyes infoEvent Listeners, Executor Servicesyes, in C/C++, Java, .Net or Perlyes infoproprietary syntax
Triggersyes, with Cloud Functionsyes infoEventsyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyes infoReplicated MapSource-replica replication infoDatabase mirroringMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsUsing Cloud Dataflowyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynonoyesyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesone or two-phase-commit; repeatable reads; read commitedACIDACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesyesyesyes
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 controlfine grained access rights according to SQL-standardUsers with fine-grained authorization concept infono user groups or roles

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More resources
Google Cloud FirestoreHazelcastSAP SQL Anywhere infoformerly called Adaptive Server AnywhereVitess
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