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

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

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Editorial information provided by DB-Engines
Name	EsgynDB  Xexclude from comparison	Google Cloud Firestore  Xexclude from comparison	Hawkular Metrics  Xexclude from comparison	Transwarp StellarDB  Xexclude from comparison
Description	Enterprise-class SQL-on-Hadoop solution, powered by Apache Trafodion	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 distributed graph DBMS built for enterprise-level graph applications
Primary database model	Relational DBMS	Document store	Time Series DBMS	Graph DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 0.25 Rank #312   Overall #138   Relational DBMS	Score 7.36 Rank #53   Overall #9   Document stores	Score 0.08 Rank #366   Overall #39   Time Series DBMS	Score 0.07 Rank #371   Overall #39   Graph DBMS
Website	www.esgyn.cn	firebase.google.com/­products/­firestore	www.hawkular.org	www.transwarp.cn/­en/­product/­stellardb
Technical documentation		firebase.google.com/­docs/­firestore	www.hawkular.org/­hawkular-metrics/­docs/­user-guide
Developer	Esgyn	Google	Community supported by Red Hat	Transwarp
Initial release	2015	2017	2014
License Commercial or Open Source	commercial	commercial	Open Source Apache 2.0	commercial
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	C++, Java		Java
Server operating systems	Linux	hosted	Linux OS X Windows
Data scheme	yes	schema-free	schema-free
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	no
SQL Support of SQL	yes	no	no	SQL-like query language
APIs and other access methods	ADO.NET JDBC ODBC	Android gRPC (using protocol buffers) API iOS JavaScript API RESTful HTTP API	HTTP REST	OpenCypher
Supported programming languages	All languages supporting JDBC/ODBC/ADO.Net	Go Java JavaScript JavaScript (Node.js) Objective-C Python	Go Java Python Ruby
Server-side scripts Stored procedures	Java Stored Procedures	yes, Firebase Rules & Cloud Functions	no
Triggers	no	yes, with Cloud Functions	yes via Hawkular Alerting
Partitioning methods Methods for storing different data on different nodes	Sharding	Sharding	Sharding based on Cassandra	horizontal partitioning
Replication methods Methods for redundantly storing data on multiple nodes	Multi-source replication between multi datacenters	Multi-source replication	selectable replication factor based on Cassandra
MapReduce Offers an API for user-defined Map/Reduce methods	yes	Using Cloud Dataflow	no
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency	Immediate Consistency	Eventual Consistency based on Cassandra Immediate Consistency based on Cassandra
Foreign keys Referential integrity	yes	no	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	ACID	yes	no
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	fine grained access rights according to SQL-standard	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	yes
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More resources
	EsgynDB	Google Cloud Firestore	Hawkular Metrics	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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