Audience

NoSQL database platform for developers

About BangDB

BangDB natively integrates AI, streaming, graph, analytics within the DB itself to enable users to deal with complex data of different kinds, such as text, images, videos, objects etc. for real time data processing and analysis Ingest or stream any data, process it, train models, do prediction, find patterns, take action and automate all these to enable use cases such as IOT monitoring, fraud or disruption prevention, log analysis, lead generation, 1-on-1 personalisation and many more. Today’s use cases require different kinds of data to be ingested, processed, and queried at the same time for a given problem. BangDB supports most of the useful data formats to allow user to solve the problem in a simple manner. Rise of real time data pushes for real time streaming and predictive data analytics for advanced and optimized business operations.

Pricing

Starting Price:
$2,499 per year
Free Version:
Free Version available.

Integrations

No integrations listed.

Ratings/Reviews - 2 User Reviews

Overall 5.0 / 5
ease 4.5 / 5
features 4.5 / 5
design 4.5 / 5
support 4.5 / 5
More Reviews Write a Review

Company Information

BangDB
Founded: 2012
bangdb.com

Videos and Screen Captures

BangDB Screenshot 1
BangDB Screenshot 1 BangDB Screenshot 2 BangDB Screenshot 3 BangDB Screenshot 4
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Product Details

Platforms Supported
SaaS
Training
Documentation
Videos
Support
Phone Support
Online

BangDB Frequently Asked Questions

Q: What kinds of users and organization types does BangDB work with?
Q: What languages does BangDB support in their product?
Q: What kind of support options does BangDB offer?
Q: What type of training does BangDB provide?
Q: How much does BangDB cost?

BangDB Product Features

NoSQL Database

Performance Management
Multi-Model
Dynamic Schemas
Automatic Database Replication
Security Management
Data Model Flexibility
Deployment Flexibility
Auto-sharding
Integrated Caching

BangDB Reviews

Write a Review
  • A BangDB User
    Architect and CTO
    Used the software for: 1-2 Years
    Frequency of Use: Daily
    User Role: User, Administrator, Deployment
    Company Size: 500 - 999
    Design
    Ease
    Features
    Pricing
    Support
    Probability You Would Recommend?
    1 2 3 4 5 6 7 8 9 10

    "Modern database with innovative approach"

    Edited 2023-07-06

    Pros: A. Combination of AI, Graph and Stream Processing within database
    B. Quite simple to work with, intuitive APIs and Interface
    C. Very high performance
    D. Almost no db admin is required, it is kind of self managed even in case of DR and Business Continuity

    Cons: A. Less documentations, very less resources online
    B. Minimal ecosystem support in terms of connectors etc

    Overall: It's a database with fresh approach which allowed us to build our app in very less time with tons of capabilities. We were able to enable features on our app in few weeks of time which we planned for many quarters. Team is very helpful and always ready to help, no matter what time zone you are in.

    Read More...
  • Aarav D.
    Network engineer - MTS
    Used the software for: 6-12 Months
    Frequency of Use: Weekly
    User Role: User
    Company Size: 20,000 or More
    Design
    Ease
    Features
    Pricing
    Support
    Probability You Would Recommend?
    1 2 3 4 5 6 7 8 9 10

    "Solid database with ML and streaming support"

    Edited 2021-11-01

    Pros: BangDB comes with machine learning, streaming, graph and many other features which makes it super easy to get started and implement some of the most complex use cases in speedy manner. Its performance is very high and works well for high load at scale. It provides variety of indexes and query support and implements cypher query language for graph

    Cons: BangDB should have better dedicated visualization, right now it is integrated with Grafana which is great but needs to setup workflow etc from UI. Also they need to have better documentations as well.

    Overall: So far, it's been awesome experience with BangDB, we have quickly implemented few use cases and deployed them on prod and everything is going good.

    Read More...