BangDB - 2026 Pricing, Features, Reviews & Alternatives

A. BangDB is a converged NoSQL database with AI, Streaming, Graph and other integrated features which are required to enable modern use cases. The convergence breaks the Silos and provides a simple and off-the-shelf platform for ready to use. Users can focus on building use cases rather than stitching verticals. The natural benefit is accelerated time to market with optimum resources

B. Since data comes in all shapes and sizes, therefore it becomes important for a platform to handle multi structured data. BangDB allows many different kinds of data within the database without upfront structuring of the data. Key/Value, Document, Graph, Time-series etc, are few examples of the kinds of data almost all organizations deal with for many different use cases

C. Predictive aspect has become natural part of the system. Which means we need to apply AI for almost all kinds of use cases. With siloed approach, it becomes cumbersome, costly and time taking process to store data at one place and train/predict at some other vertical. Further this restricts the automation in AI that we wish to achieve. Native AI within database allows users to train and predict on the data within the system and also on streaming events. Automation is natural element with this approach which is a must have feature for frequently training and updating models at run time

D. Data is increasingly coming from devices and this trend will go on which means majority of the data in coming days will be generated by devices. Therefore device data or fast moving high value data will be at the centerstage. Streaming and time-series data analysis thus becomes very central to the data processing and analysis area. BangDB implements streaming natively within the database, which means users can stream these high speed unstructured data from various devices to the BangDB which will process, analyse, find patterns to enable continuous intelligence with actions

E. Edge computing is key in order to scale the data processing in real time and in optimised manner. True edge computing needs embedded computing and analytics. BangDB works in embedded manner, where it can be deployed within microprocessor to ingest, process and analyze the data for edge use cases. Further these embedded processes are connected with Cloud as well to enable hybrid deployment model

F. High performance of the system is no more just a good feature to have. In order to process these high speed data, we must be able to deploy a software which is capable of large throughput. BangDB performs 2X+ with many leading systems in the market. High performance further reduces cost, provides flexibility and scales well

G. BangDB implements Buffer pool, page cache, IO Layer, WAL etc. to achieve robustness, high performance and solid durability as a database. BangDB also implements transaction (OCC) for use cases where sanity is guaranteed. For richer and faster query, BangDB implements primary, secondary, nested, composite, reverse, geospatial indexes.

F. BangDB is written in C/C++ but supports other languages as well. It has TCP based clients with custom protocol and at the same time exposes REST APIs for various dash-boarding and visualisation purposes

G. BangDB comes in community and enterprise versions. Community version is free completely in all respect while enterprise version allows customers to get extra support, consultancy and co-development as required