DBMS > Google Cloud Firestore vs. Hawkular Metrics vs. InfinityDB vs. Transwarp StellarDB

System Properties Comparison Google Cloud Firestore vs. Hawkular Metrics vs. InfinityDB vs. Transwarp StellarDB

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Editorial information provided by DB-Engines
Name	Google Cloud Firestore  Xexclude from comparison	Hawkular Metrics  Xexclude from comparison	InfinityDB  Xexclude from comparison	Transwarp StellarDB  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.	Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.	A Java embedded Key-Value Store which extends the Java Map interface	A distributed graph DBMS built for enterprise-level graph applications
Primary database model	Document store	Time Series DBMS	Key-value store	Graph DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 7.36 Rank #53   Overall #9   Document stores	Score 0.08 Rank #366   Overall #39   Time Series DBMS	Score 0.08 Rank #365   Overall #55   Key-value stores	Score 0.07 Rank #371   Overall #39   Graph DBMS
Website	firebase.google.com/­products/­firestore	www.hawkular.org	boilerbay.com	www.transwarp.cn/­en/­product/­stellardb
Technical documentation	firebase.google.com/­docs/­firestore	www.hawkular.org/­hawkular-metrics/­docs/­user-guide	boilerbay.com/­infinitydb/­manual
Developer	Google	Community supported by Red Hat	Boiler Bay Inc.	Transwarp
Initial release	2017	2014	2002
Current release			4.0
License Commercial or Open Source	commercial	Open Source Apache 2.0	commercial	commercial
Cloud-based only Only available as a cloud service	yes	no	no	no
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language		Java	Java
Server operating systems	hosted	Linux OS X Windows	All OS with a Java VM
Data scheme	schema-free	schema-free	yes nested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgrade
Typing predefined data types such as float or date	yes	yes	yes all Java primitives, Date, CLOB, BLOB, huge sparse arrays
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	no	no manual creation possible, using inversions based on multi-value capability
SQL Support of SQL	no	no	no	SQL-like query language
APIs and other access methods	Android gRPC (using protocol buffers) API iOS JavaScript API RESTful HTTP API	HTTP REST	Access via java.util.concurrent.ConcurrentNavigableMap Interface Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)	OpenCypher
Supported programming languages	Go Java JavaScript JavaScript (Node.js) Objective-C Python	Go Java Python Ruby	Java
Server-side scripts Stored procedures	yes, Firebase Rules & Cloud Functions	no	no
Triggers	yes, with Cloud Functions	yes via Hawkular Alerting	no
Partitioning methods Methods for storing different data on different nodes	Sharding	Sharding based on Cassandra	none	horizontal partitioning
Replication methods Methods for redundantly storing data on multiple nodes	Multi-source replication	selectable replication factor based on Cassandra	none
MapReduce Offers an API for user-defined Map/Reduce methods	Using Cloud Dataflow	no	no
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency	Eventual Consistency based on Cassandra Immediate Consistency based on Cassandra	Immediate Consistency READ-COMMITTED or SERIALIZED
Foreign keys Referential integrity	no	no	no manual creation possible, using inversions based on multi-value capability
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	yes	no	ACID Optimistic locking for transactions; no isolation for bulk loads
Concurrency Support for concurrent manipulation of data	yes	yes	yes	yes
Durability Support for making data persistent	yes	yes	yes	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.		no	no
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.	no	no	yes
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More resources
	Google Cloud Firestore	Hawkular Metrics	InfinityDB	Transwarp StellarDB
DB-Engines blog posts	Cloud-based DBMS's popularity grows at high rates 12 December 2019, Paul Andlinger show all
Recent citations in the news	Google's AI-First Strategy Brings Vector Support To Cloud Databases 1 March 2024, Forbes Realtime vs Cloud Firestore: Which Firebase Database to go? 8 March 2024, Appinventiv Google launches Firebase Genkit, a new open source framework for building AI-powered apps 14 May 2024, TechCrunch Firestore: NoSQL document database 9 October 2017, Google Firestore | Firebase 3 October 2017, firebase.google.com provided by Google News	Waiting for Red Hat OpenShift 4.0? Too late, 4.1 has already arrived… • DEVCLASS 5 June 2019, DevClass provided by Google News

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