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DBMS > Firebase Realtime Database vs. Google Cloud Datastore vs. GreptimeDB vs. Oracle Coherence

System Properties Comparison Firebase Realtime Database vs. Google Cloud Datastore vs. GreptimeDB vs. Oracle Coherence

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Editorial information provided by DB-Engines
NameFirebase Realtime Database  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonGreptimeDB  Xexclude from comparisonOracle Coherence  Xexclude from comparison
DescriptionCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Automatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformAn open source Time Series DBMS built for increased scalability, high performance and efficiencyOracles in-memory data grid solution
Primary database modelDocument storeDocument storeTime Series DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score14.29
Rank#39  Overall
#6  Document stores
Score4.47
Rank#76  Overall
#12  Document stores
Score0.06
Rank#352  Overall
#33  Time Series DBMS
Score1.92
Rank#130  Overall
#22  Key-value stores
Websitefirebase.google.com/­products/­realtime-databasecloud.google.com/­datastoregreptime.comwww.oracle.com/­java/­coherence
Technical documentationfirebase.google.com/­docs/­databasecloud.google.com/­datastore/­docsdocs.greptime.comdocs.oracle.com/­en/­middleware/­standalone/­coherence
DeveloperGoogle infoacquired by Google 2014GoogleGreptime Inc.Oracle
Initial release2012200820222007
Current release14.1, August 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageRustJava
Server operating systemshostedhostedAndroid
Docker
FreeBSD
Linux
macOS
Windows
All OS with a Java VM
Data schemeschema-freeschema-freeschema-free, schema definition possibleschema-free
Typing infopredefined data types such as float or dateyesyes, details hereyesyes
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.nononono
Secondary indexesyesyesyesno
SQL infoSupport of SQLnoSQL-like query language (GQL)yesno
APIs and other access methodsAndroid
iOS
JavaScript API
RESTful HTTP API
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
gRPC
HTTP API
JDBC
JCache
JPA
RESTful HTTP API
Supported programming languagesJava
JavaScript
Objective-C
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C++
Erlang
Go
Java
JavaScript
.Net
C++
Java
Server-side scripts infoStored procedureslimited functionality with using 'rules'using Google App EnginePythonno
TriggersCallbacks are triggered when data changesCallbacks using the Google Apps Engineyes infoLive Events
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using Paxosyes, with selectable consistency level
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Immediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyes infovia ReferenceProperties or Ancestor pathsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACID infoSerializable Isolation within Transactions, Read Committed outside of Transactionsconfigurable
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infooptionally
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlyes, based on authentication and database rulesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Simple rights management via user accountsauthentification to access the cache via certificates or http basic authentication
More information provided by the system vendor
Firebase Realtime DatabaseGoogle Cloud DatastoreGreptimeDBOracle Coherence
Specific characteristicsGreptimeDB is a SQL & Python-enabled timeseries database system built from scratch...
» more
Competitive advantages- Inherits advantages of Rust, such as excellent performance, memory safe, resource...
» more
Typical application scenariosFor IoT industries, GreptimeDB can seamless integrate with message queues and other...
» more
Key customersGreptime's clients span multiple sectors including IoT, connected vehicles, and energy...
» more
Market metricsGreptimeDB has garnered global recognition by topping GitHub trends following its...
» more
Licensing and pricing modelsGreptimeDB: open source, distributed, cloud-native TSDB; supports Hybrid Time-series...
» more

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More resources
Firebase Realtime DatabaseGoogle Cloud DatastoreGreptimeDBOracle Coherence
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