DBMS > Google Cloud Firestore vs. Graph Engine vs. H2

System Properties Comparison Google Cloud Firestore vs. Graph Engine vs. H2

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Editorial information provided by DB-Engines
Name	Google Cloud Firestore  Xexclude from comparison	Graph Engine former name: Trinity  Xexclude from comparison	H2  Xexclude from comparison
Description	Cloud 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 distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engine	Full-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.
Primary database model	Document store	Graph DBMS Key-value store	Relational DBMS
Secondary database models			Spatial DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 9.09 Rank #53   Overall #10   Document stores	Score 0.90 Rank #186   Overall #16   Graph DBMS #31   Key-value stores	Score 9.78 Rank #51   Overall #31   Relational DBMS
Website	firebase.google.com/­products/­firestore	www.graphengine.io	www.h2database.com
Technical documentation	firebase.google.com/­docs/­firestore	www.graphengine.io/­docs/­manual	www.h2database.com/­html/­main.html
Developer	Google	Microsoft	Thomas Mueller
Initial release	2017	2010	2005
Current release			2.1.210, January 2022
License Commercial or Open Source	commercial	Open Source MIT License	Open Source dual-licence (Mozilla public license, Eclipse public license)
Cloud-based only Only available as a cloud service	yes	no	no
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language		.NET and C	Java
Server operating systems	hosted	.NET	All OS with a Java VM
Data scheme	schema-free	yes	yes
Typing predefined data types such as float or date	yes	yes	yes
XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.	no	no	no
Secondary indexes	yes		yes
SQL Support of SQL	no	no	yes
APIs and other access methods	Android gRPC (using protocol buffers) API iOS JavaScript API RESTful HTTP API	RESTful HTTP API	JDBC ODBC
Supported programming languages	Go Java JavaScript JavaScript (Node.js) Objective-C Python	C# C++ F# Visual Basic	Java
Server-side scripts Stored procedures	yes, Firebase Rules & Cloud Functions	yes	Java Stored Procedures and User-Defined Functions
Triggers	yes, with Cloud Functions	no	yes
Partitioning methods Methods for storing different data on different nodes	Sharding	horizontal partitioning	none
Replication methods Methods for redundantly storing data on multiple nodes	Multi-source replication		With clustering: 2 database servers on different computers operate on identical copies of a database
MapReduce Offers an API for user-defined Map/Reduce methods	Using Cloud Dataflow		no
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency		Immediate Consistency
Foreign keys Referential integrity	no	no	yes
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	yes	no	ACID
Concurrency Support for concurrent manipulation of data	yes	yes	yes, multi-version concurrency control (MVCC)
Durability Support for making data persistent	yes	optional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storage	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.		yes	yes
User concepts Access control	Access rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.		fine grained access rights according to SQL-standard
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More resources
	Google Cloud Firestore	Graph Engine former name: Trinity	H2
DB-Engines blog posts	Cloud-based DBMS's popularity grows at high rates 12 December 2019, Paul Andlinger show all