DBMS > Bangdb vs. Drizzle vs. Firebase Realtime Database vs. Transwarp StellarDB

System Properties Comparison Bangdb vs. Drizzle vs. Firebase Realtime Database vs. Transwarp StellarDB

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Editorial information provided by DB-Engines
Name	Bangdb  Xexclude from comparison	Drizzle  Xexclude from comparison	Firebase Realtime Database  Xexclude from comparison	Transwarp StellarDB  Xexclude from comparison
		Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
Description	Converged and high performance database for device data, events, time series, document and graph	MySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.	Cloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.	A distributed graph DBMS built for enterprise-level graph applications
Primary database model	Document store Graph DBMS Time Series DBMS	Relational DBMS	Document store	Graph DBMS
Secondary database models	Spatial DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 0.16 Rank #338   Overall #47   Document stores #32   Graph DBMS #31   Time Series DBMS		Score 13.64 Rank #39   Overall #6   Document stores	Score 0.07 Rank #371   Overall #39   Graph DBMS
Website	bangdb.com		firebase.google.com/­products/­realtime-database	www.transwarp.cn/­en/­product/­stellardb
Technical documentation	docs.bangdb.com		firebase.google.com/­docs/­database
Developer	Sachin Sinha, BangDB	Drizzle project, originally started by Brian Aker	Google acquired by Google 2014	Transwarp
Initial release	2012	2008	2012
Current release	BangDB 2.0, October 2021	7.2.4, September 2012
License Commercial or Open Source	Open Source BSD 3	Open Source GNU GPL	commercial	commercial
Cloud-based only Only available as a cloud service	no	no	yes	no
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Implementation language	C, C++	C++
Server operating systems	Linux	FreeBSD Linux OS X	hosted
Data scheme	schema-free	yes	schema-free
Typing predefined data types such as float or date	yes: string, long, double, int, geospatial, stream, events	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
Secondary indexes	yes secondary, composite, nested, reverse, geospatial	yes	yes
SQL Support of SQL	SQL like support with command line tool	yes with proprietary extensions	no	SQL-like query language
APIs and other access methods	Proprietary protocol RESTful HTTP API	JDBC	Android iOS JavaScript API RESTful HTTP API	OpenCypher
Supported programming languages	C C# C++ Java Python	C C++ Java PHP	Java JavaScript Objective-C
Server-side scripts Stored procedures	no	no	limited functionality with using 'rules'
Triggers	yes, Notifications (with Streaming only)	no hooks for callbacks inside the server can be used.	Callbacks are triggered when data changes
Partitioning methods Methods for storing different data on different nodes	Sharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithm	Sharding		horizontal partitioning
Replication methods Methods for redundantly storing data on multiple nodes	selectable replication factor, Knob for CAP (enterprise version only)	Multi-source replication 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	Tunable consistency, set CAP knob accordingly		Eventual Consistency if the client is offline Immediate Consistency if the client is online
Foreign keys Referential integrity	no	yes	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	ACID	ACID	yes
Concurrency Support for concurrent manipulation of data	yes, optimistic concurrency control	yes	yes	yes
Durability Support for making data persistent	yes, implements WAL (Write ahead log) as well	yes	yes	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	yes, run db with in-memory only mode
User concepts Access control	yes (enterprise version only)	Pluggable authentication mechanisms e.g. LDAP, HTTP	yes, based on authentication and database rules	yes
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More resources
	Bangdb	Drizzle	Firebase Realtime Database	Transwarp StellarDB
DB-Engines blog posts		MySQL won the April ranking; did its forks follow? 1 April 2015, Paul Andlinger Has MySQL finally lost its mojo? 1 July 2013, Matthias Gelbmann show all	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

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