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DBMS > Amazon Aurora vs. Google Cloud Firestore vs. GreptimeDB vs. RavenDB

System Properties Comparison Amazon Aurora vs. Google Cloud Firestore vs. GreptimeDB vs. RavenDB

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Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonGreptimeDB  Xexclude from comparisonRavenDB  Xexclude from comparison
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonCloud 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.An open source Time Series DBMS built for increased scalability, high performance and efficiencyOpen Source Operational and Transactional Enterprise NoSQL Document Database
Primary database modelRelational DBMSDocument storeTime Series DBMSDocument store
Secondary database modelsDocument storeGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.91
Rank#50  Overall
#32  Relational DBMS
Score7.85
Rank#51  Overall
#8  Document stores
Score0.06
Rank#352  Overall
#33  Time Series DBMS
Score2.92
Rank#101  Overall
#18  Document stores
Websiteaws.amazon.com/­rds/­aurorafirebase.google.com/­products/­firestoregreptime.comravendb.net
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmlfirebase.google.com/­docs/­firestoredocs.greptime.comravendb.net/­docs
DeveloperAmazonGoogleGreptime Inc.Hibernating Rhinos
Initial release2015201720222010
Current release5.4, July 2022
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2.0Open Source infoAGPL version 3, commercial license available
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 languageRustC#
Server operating systemshostedhostedAndroid
Docker
FreeBSD
Linux
macOS
Windows
Linux
macOS
Raspberry Pi
Windows
Data schemeyesschema-freeschema-free, schema definition possibleschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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.yesnono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyesnoyesSQL-like query language (RQL)
APIs and other access methodsADO.NET
JDBC
ODBC
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
gRPC
HTTP API
JDBC
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C++
Erlang
Go
Java
JavaScript
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresyesyes, Firebase Rules & Cloud FunctionsPythonyes
Triggersyesyes, with Cloud Functionsyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replicationMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoUsing Cloud Dataflownoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesACID, Cluster-wide transaction available
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.yes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.Simple rights management via user accountsAuthorization levels configured per client per database
More information provided by the system vendor
Amazon AuroraGoogle Cloud FirestoreGreptimeDBRavenDB
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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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Amazon AuroraGoogle Cloud FirestoreGreptimeDBRavenDB
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