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

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

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Editorial information provided by DB-Engines
Name	Bangdb  Xexclude from comparison	Firebase Realtime Database  Xexclude from comparison	OrigoDB  Xexclude from comparison	Transwarp StellarDB  Xexclude from comparison
Description	Converged and high performance database for device data, events, time series, document and graph	Cloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.	A fully ACID in-memory object graph database	A distributed graph DBMS built for enterprise-level graph applications
Primary database model	Document store Graph DBMS Time Series DBMS	Document store	Document store Object oriented DBMS	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 0.06 Rank #380   Overall #50   Document stores #18   Object oriented DBMS	Score 0.07 Rank #371   Overall #39   Graph DBMS
Website	bangdb.com	firebase.google.com/­products/­realtime-database	origodb.com	www.transwarp.cn/­en/­product/­stellardb
Technical documentation	docs.bangdb.com	firebase.google.com/­docs/­database	origodb.com/­docs
Developer	Sachin Sinha, BangDB	Google acquired by Google 2014	Robert Friberg et al	Transwarp
Initial release	2012	2012	2009 under the name LiveDB
Current release	BangDB 2.0, October 2021
License Commercial or Open Source	Open Source BSD 3	commercial	Open Source	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, C++		C#
Server operating systems	Linux	hosted	Linux Windows
Data scheme	schema-free	schema-free	yes
Typing predefined data types such as float or date	yes: string, long, double, int, geospatial, stream, events	yes	User defined using .NET types and collections
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 can be achieved using .NET
Secondary indexes	yes secondary, composite, nested, reverse, geospatial	yes	yes
SQL Support of SQL	SQL like support with command line tool	no	no	SQL-like query language
APIs and other access methods	Proprietary protocol RESTful HTTP API	Android iOS JavaScript API RESTful HTTP API	.NET Client API HTTP API LINQ	OpenCypher
Supported programming languages	C C# C++ Java Python	Java JavaScript Objective-C	.Net
Server-side scripts Stored procedures	no	limited functionality with using 'rules'	yes
Triggers	yes, Notifications (with Streaming only)	Callbacks are triggered when data changes	yes Domain Events
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		horizontal partitioning client side managed; servers are not synchronized	horizontal partitioning
Replication methods Methods for redundantly storing data on multiple nodes	selectable replication factor, Knob for CAP (enterprise version only)		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	no	depending on model
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	ACID	yes	ACID
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 Write ahead log	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		yes
User concepts Access control	yes (enterprise version only)	yes, based on authentication and database rules	Role based authorization	yes
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More resources
	Bangdb	Firebase Realtime Database	OrigoDB	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		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 Google Firebase may have exposed 125M records from misconfigurations 19 March 2024, SC Media provided by Google News

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