DBMS > Firebase Realtime Database vs. Hawkular Metrics vs. Sequoiadb vs. Transwarp ArgoDB

System Properties Comparison Firebase Realtime Database vs. Hawkular Metrics vs. Sequoiadb vs. Transwarp ArgoDB

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
Name	Firebase Realtime Database  Xexclude from comparison	Hawkular Metrics  Xexclude from comparison	Sequoiadb  Xexclude from comparison	Transwarp ArgoDB  Xexclude from comparison
Description	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.	NewSQL database with distributed OLTP and SQL	Distributed Analytical Database to replace Hadoop+MPP hybrid architecture
Primary database model	Document store	Time Series DBMS	Document store Relational DBMS	Relational DBMS
Secondary database models				Search engine
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 13.64 Rank #39   Overall #6   Document stores	Score 0.08 Rank #366   Overall #39   Time Series DBMS	Score 0.50 Rank #258   Overall #41   Document stores #120   Relational DBMS	Score 0.12 Rank #348   Overall #151   Relational DBMS
Website	firebase.google.com/­products/­realtime-database	www.hawkular.org	www.sequoiadb.com	www.transwarp.cn/­en/­product/­argodb
Technical documentation	firebase.google.com/­docs/­database	www.hawkular.org/­hawkular-metrics/­docs/­user-guide	www.sequoiadb.com/­en/­index.php?m=Files&a=index	docs.transwarp.cn/­#/­documents-support/­docs?category=ARGODB
Developer	Google acquired by Google 2014	Community supported by Red Hat	Sequoiadb Ltd.	Transwarp
Initial release	2012	2014	2013
License Commercial or Open Source	commercial	Open Source Apache 2.0	Open Source Server: AGPL; Client: Apache V2	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	C++
Server operating systems	hosted	Linux OS X Windows	Linux
Data scheme	schema-free	schema-free	schema-free	yes
Typing predefined data types such as float or date	yes	yes	yes oid, date, timestamp, binary, regex	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	no	yes	yes
SQL Support of SQL	no	no	SQL-like query language	yes
APIs and other access methods	Android iOS JavaScript API RESTful HTTP API	HTTP REST	proprietary protocol using JSON
Supported programming languages	Java JavaScript Objective-C	Go Java Python Ruby	.Net C++ Java PHP Python
Server-side scripts Stored procedures	limited functionality with using 'rules'	no	JavaScript
Triggers	Callbacks are triggered when data changes	yes via Hawkular Alerting	no
Partitioning methods Methods for storing different data on different nodes		Sharding based on Cassandra	Sharding
Replication methods Methods for redundantly storing data on multiple nodes		selectable replication factor based on Cassandra	Source-replica replication
MapReduce Offers an API for user-defined Map/Reduce methods	no	no	no
Consistency concepts Methods to ensure consistency in a distributed system	Eventual Consistency if the client is offline Immediate Consistency if the client is online	Eventual Consistency based on Cassandra Immediate Consistency based on Cassandra	Eventual Consistency
Foreign keys Referential integrity	no	no	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	yes	no	Document is locked during a transaction
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	yes, based on authentication and database rules	no	simple password-based access control
More information provided by the system vendor We invite representatives of system vendors to contact us for updating and extending the system information, and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.
Related products and services We invite representatives of vendors of related products to contact us for presenting information about their offerings here.
More resources
	Firebase Realtime Database	Hawkular Metrics	Sequoiadb	Transwarp ArgoDB
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	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 launches Firebase Genkit, a new open source framework for building AI-powered apps 14 May 2024, TechCrunch 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

Share this page