BangDB
Converged NoSQL database and no-code cloud platform for enterprises.
Available information varies by company and source.
Profile record updated:
Company facts
- Official name
- IQLECT Software Solutions Pvt. Ltd.
- Entity type
- COMPANY
- Founded
- 2015
- Headquarters
- India
- Company size
- 10–49
- Market role
- B2B SaaS Provider
- Official website
- bangdb.com
What BangDB does
BangDB operates a B2B software model built around a proprietary multimodal database platform and adjacent application tooling. It creates value by unifying database, graph, streaming and embedded AI capabilities in one stack, which reduces architectural complexity for customers building real-time applications. Revenue is generated from direct sales of self-managed software, managed cloud subscriptions, and professional services that accelerate adoption, integration and production deployment.
Category differentiation
This company is a B2B database and application platform vendor, not a consumer app, adtech platform or data broker. BangDB refers to the commercial data platform operated by IQLECT Software Solutions Pvt. Ltd., not a general open-source database category.
Strategic context
AI-supported assessment from the existing company research; distinguish interpretation from sourced facts.
IQLECT Software Solutions Pvt. Ltd., trading as BangDB, is a private Indian B2B software company that develops a converged multimodal NoSQL data platform for real-time applications. Its core product combines document storage, graph processing, stream processing and embedded AI workflows in a single engine, and is offered both as self-managed software and as a managed cloud service. The company also extends the platform with Ampere, a no-code cloud application layer, an app marketplace and consulting services for implementation and custom development. The company sells primarily to enterprise developers, data engineers, platform teams and organisations building data-intensive, AI-driven systems. It makes money through software licensing, recurring SaaS subscriptions for managed cloud deployments, and professional services tied to deployment, integration and custom application work. Its positioning is that of a unified data and application platform that reduces the need for multiple separate systems in modern operational workloads.
Business model & monetisation
BangDB monetises through enterprise software licensing for self-managed deployments, recurring SaaS subscriptions for BangDB Cloud and Ampere, and service fees for consulting, custom development and integration work. Commercial value is tied to platform access, cloud provisioning and enterprise implementation support rather than advertising or transaction take-rates.
- Self-managed BangDB software
- Software Subscription
- BangDB Cloud managed deployments
- Software Subscription
- Ampere no-code cloud platform
- Software Subscription
- Consulting and custom implementation
- Service Fee
- App ecosystem access and template-led usage
- Pay-per-Use
Products & capabilities
No products with linked sources are available in this view.
Products & market categories
Recent recorded signals
Dates refer to the source publication. Older entries are historical context, not evidence of a new event.
No sufficiently sourced and dated signals are available for this view.
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Questions about BangDB
What is BangDB?
BangDB is a converged multimodal NoSQL database platform from IQLECT Software Solutions Pvt. Ltd. that combines document, graph, stream processing and AI-oriented capabilities, with cloud and no-code extensions.
Who uses BangDB?
BangDB is used by enterprise developers, data engineers, platform teams, solution architects, product teams and organisations building real-time, data-intensive and AI-driven applications.
How does BangDB make money?
BangDB makes money from enterprise software licensing, recurring SaaS subscriptions for managed cloud and no-code products, and consulting fees for implementation, integration and custom development.
Sources & coverage
This profile uses public, official and technically observable information. Missing information does not prove that a product or relationship does not exist. The list below does not imply that every profile statement has been verified.
16 publicly documented primary sources and citations linked across the market graph.
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