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DBMS > Google Cloud Firestore vs. LevelDB vs. Microsoft Azure Table Storage vs. RavenDB vs. RDF4J

System Properties Comparison Google Cloud Firestore vs. LevelDB vs. Microsoft Azure Table Storage vs. RavenDB vs. RDF4J

Editorial information provided by DB-Engines
NameGoogle Cloud Firestore  Xexclude from comparisonLevelDB  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonRavenDB  Xexclude from comparisonRDF4J infoformerly known as Sesame  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.Embeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesA Wide Column Store for rapid development using massive semi-structured datasetsOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelDocument storeKey-value storeWide column storeDocument storeRDF store
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.96
Rank#48  Overall
#8  Document stores
Score2.75
Rank#107  Overall
#19  Key-value stores
Score4.92
Rank#73  Overall
#6  Wide column stores
Score3.01
Rank#101  Overall
#17  Document stores
Score0.71
Rank#231  Overall
#9  RDF stores
Websitefirebase.google.com/­products/­firestoregithub.com/­google/­leveldbazure.microsoft.com/­en-us/­services/­storage/­tablesravendb.netrdf4j.org
Technical documentationfirebase.google.com/­docs/­firestoregithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdravendb.net/­docsrdf4j.org/­documentation
DeveloperGoogleGoogleMicrosoftHibernating RhinosSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release20172011201220102004
Current release1.23, February 20215.4, July 2022
License infoCommercial or Open SourcecommercialOpen Source infoBSDcommercialOpen Source infoAGPL version 3, commercial license availableOpen Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud serviceyesnoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C#Java
Server operating systemshostedIllumos
Linux
OS X
Windows
hostedLinux
macOS
Raspberry Pi
Windows
Linux
OS X
Unix
Windows
Data schemeschema-freeschema-freeschema-freeschema-freeyes infoRDF Schemas
Typing infopredefined data types such as float or dateyesnoyesnoyes
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.nonono
Secondary indexesyesnonoyesyes
SQL infoSupport of SQLnononoSQL-like query language (RQL)no
APIs and other access methodsAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
RESTful HTTP API.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languagesGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java
PHP
Python
Server-side scripts infoStored proceduresyes, Firebase Rules & Cloud Functionsnonoyesyes
Triggersyes, with Cloud Functionsnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infoImplicit feature of the cloud serviceShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationnoneyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Multi-source replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsUsing Cloud Dataflownonoyesno
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 integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnooptimistic lockingACID, Cluster-wide transaction availableACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infowith automatic compression on writesyesyesyes infoin-memory storage is supported as well
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
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.noAccess rights based on private key authentication or shared access signaturesAuthorization levels configured per client per databaseno

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More resources
Google Cloud FirestoreLevelDBMicrosoft Azure Table StorageRavenDBRDF4J infoformerly known as Sesame
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