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Computational Chemistry Platform
Stream, process, connect and govern multi-dimensional molecular data from diverse databases to downstream applications, in order to power a computational chemistry platform
Streamline Computational Chemistry with Confluent
Computational chemistry platforms require an underlying data infrastructure that’s reliable, flexible, and able to scale elastically to deal with large volumes of heterogeneous molecular data.
Legacy technologies such as traditional messaging queues or simple pub/sub middlewares are unable to meet these demands. They’re often difficult to manage, brittle, and unable to integrate with custom source or sink applications.
With Confluent at the core of their computational chemistry platforms, however, organizations are able to:
Stream high-volumes of complex molecular data from a range of file types (e.g., HD5 and SDF), without over-provisioning resources.
Process and govern data in real time, closer to its source, saving time and money on downstream processing while being able to iterate simulations in the moment (e.g., by increasing molecular candidate diversity).
Leverage developments in GenAI, increasing the accuracy and efficiency of simulations.
Build with Confluent
This use case leverages the following building blocks in Confluent Cloud:
Reference Architecture
