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BangDB is a multimodal NoSQL database platform designed for modern applications that require handling diverse data types such as text, images, videos, streaming data, and graph data within a single system. Developed by IQLECT, it addresses the challenges of managing and correlating heterogeneous data sources by providing a converged database solution that integrates AI, graph processing, and real-time stream processing natively. BangDB offers high performance, reportedly twice as fast as traditional databases like MongoDB and Redis, and supports deployment across devices, edge, and cloud environments. Its core capabilities include graph querying with Cypher, continuous stream processing with anomaly detection, and integrated AI for AutoML and predictive analytics. The platform is suitable for developers, data engineers, and organizations building real-time, intelligent applications that require seamless data integration and accelerated time to market.
4.7/5
Robust, accurate, and scalable
Comprehensive but technical
To provide a high-performance, converged multimodal database with integrated AI and real-time processing for modern applications.
Supports deployment on device, edge, and cloud platforms with APIs for seamless integration into diverse workflows.
Offers a free trial with subscription-based paid plans.
Features with the highest value for users are highlighted here.
Multimodal data support
Integrated AI and AutoML
Native graph processing with Cypher
Real-time stream processing
High performance and scalability
Hybrid deployment (device, edge, cloud)
No-code app development platform
Built-in pre-baked applications
Data Engineers
AI Developers
IoT Solution Architects
Enterprise Architects
Startups
Real-time Analytics Teams
Graph Database Users
Cloud Developers
Business Intelligence Analysts
No-code Users
Free Trial
Standard
Weekly intelligence on AI strategy, operations, and market shifts. No noise. No narrative. Direct to your inbox.
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