Graph Database with AI & Stream or building NextGen Apps.
Modern use case requires streaming data with Graph and AI for higher intelligence and high-performance query that leverages the connections and contexts
Complete Graph Stack
High performance, scalable and simple
High performance, scalable and simple
BangDB implements Graph database which is integrated with the other features of the DB such as stream processing and AI
- Context of data is crucial today. We must preserve and use them for analysis and processing. Graph is the best structure to persist these nodes and relations
- BangDB supports knowledge and property graphs along with ontology
- BangDB uses a novel approach to index and store the links which is efficient and scalable for high performance graph processing
Cypher & English
Cypher and plain English for querying graph data
Cypher and plain English for querying graph data
Cypher like query language for Graph query. It uses AI implicitly for various computations at run time. Ex; cluster, similarity
English language can also be used for querying, which is trained using OpenAI API
BangDB stores triple in a novel way where the connections between nodes are indexed in a unique manner for higher query performance
Graph Integrated with TSDB
Auto graphs update when data is ingested in the streams
Auto graphs update when data is ingested in the streams
For IOT, Fintech, Fraud, Security, Infra Monitoring etc. related use cases, it's a huge advantage to auto-update the graph when data is ingested into the streams
It improves pattern recognition and identifications of interesting events due to the sheer natural relations that are available in the data
The context is easily defined and leveraged for further processing
NextGen APPs need Graph + AI
The relation DB or Plain NoSQL is not enough
The relation DB or Plain NoSQL is not enough
Document database is not sufficient, we need Graph and Stream with AI
Huge performance benefits, upto 17X based on our experience with users
Huger cost reduction, it requires 3X less num of resources/infra on an average
Acceleration in implementing new features, and client's requests – faster time to market