DBMS > Blueflood vs. Firebase Realtime Database vs. Hawkular Metrics vs. Lovefield

System Properties Comparison Blueflood vs. Firebase Realtime Database vs. Hawkular Metrics vs. Lovefield

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Editorial information provided by DB-Engines
Name	Blueflood  Xexclude from comparison	Firebase Realtime Database  Xexclude from comparison	Hawkular Metrics  Xexclude from comparison	Lovefield  Xexclude from comparison
Description	Scalable TimeSeries DBMS based on Cassandra	Cloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.	Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.	Embeddable relational database for web apps written in pure JavaScript
Primary database model	Time Series DBMS	Document store	Time Series DBMS	Relational DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 0.13 Rank #346   Overall #33   Time Series DBMS	Score 13.64 Rank #39   Overall #6   Document stores	Score 0.08 Rank #366   Overall #39   Time Series DBMS	Score 0.33 Rank #286   Overall #131   Relational DBMS
Website	blueflood.io	firebase.google.com/­products/­realtime-database	www.hawkular.org	google.github.io/­lovefield
Technical documentation	github.com/­rax-maas/­blueflood/­wiki	firebase.google.com/­docs/­database	www.hawkular.org/­hawkular-metrics/­docs/­user-guide	github.com/­google/­lovefield/­blob/­master/­docs/­spec_index.md
Developer	Rackspace	Google acquired by Google 2014	Community supported by Red Hat	Google
Initial release	2013	2012	2014	2014
Current release				2.1.12, February 2017
License Commercial or Open Source	Open Source Apache 2.0	commercial	Open Source Apache 2.0	Open Source Apache 2.0
Cloud-based only Only available as a cloud service	no	yes	no	no
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language	Java		Java	JavaScript
Server operating systems	Linux OS X	hosted	Linux OS X Windows	server-less, requires a JavaScript environment (browser, Node.js) tested with Chrome, Firefox, IE, Safari
Data scheme	predefined scheme	schema-free	schema-free	yes
Typing predefined data types such as float or date	yes	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	no
Secondary indexes	no	yes	no	yes
SQL Support of SQL	no	no	no	SQL-like query language via JavaScript builder pattern
APIs and other access methods	HTTP REST	Android iOS JavaScript API RESTful HTTP API	HTTP REST
Supported programming languages		Java JavaScript Objective-C	Go Java Python Ruby	JavaScript
Server-side scripts Stored procedures	no	limited functionality with using 'rules'	no	no
Triggers	no	Callbacks are triggered when data changes	yes via Hawkular Alerting	Using read-only observers
Partitioning methods Methods for storing different data on different nodes	Sharding based on Cassandra		Sharding based on Cassandra	none
Replication methods Methods for redundantly storing data on multiple nodes	selectable replication factor based on Cassandra		selectable replication factor based on Cassandra	none
MapReduce Offers an API for user-defined Map/Reduce methods	no	no	no	no
Consistency concepts Methods to ensure consistency in a distributed system	Eventual Consistency based on Cassandra Immediate Consistency based on Cassandra	Eventual Consistency if the client is offline Immediate Consistency if the client is online	Eventual Consistency based on Cassandra Immediate Consistency based on Cassandra
Foreign keys Referential integrity	no	no	no	yes
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	no	yes	no	ACID
Concurrency Support for concurrent manipulation of data	yes	yes	yes	yes
Durability Support for making data persistent	yes	yes	yes	yes, by using IndexedDB or the cloud service Firebase Realtime Database
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	no		no	yes using MemoryDB
User concepts Access control	no	yes, based on authentication and database rules	no	no
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More resources
	Blueflood	Firebase Realtime Database	Hawkular Metrics	Lovefield
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	Real-Time Performance and Health Monitoring Using Netdata 2 September 2019, CNX Software provided by Google News	Realtime vs Cloud Firestore: Which Firebase Database to go? 8 March 2024, Appinventiv Atos cybersecurity blog: Misconfigured Firebase: A real-time cyber threat 18 January 2024, Atos Don't be like these 900+ websites and expose millions of passwords via Firebase 18 March 2024, The Register Google Firebase may have exposed 125M records from misconfigurations 19 March 2024, SC Media Hundreds of Google Firebase websites might have leaked data online 19 March 2024, TechRadar 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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