Atomic Tessellator: Revolutionizing Computational Chemistry with Data Streaming

Atomic Tessellator, a New Zealand-based startup specializing in computational chemistry, has adopted Confluent and Apache Kafka® to streamline their molecular research processes. Prior to this, the company relied on batch-based ETL using RabbitMQ, Celery, and Django app, which was slow and cumbersome to maintain. By leveraging data streaming with Confluent, Atomic Tessellator has been able to build a faster, more reliable, and flexible computational chemistry platform that can deploy streaming data pipelines in minutes, sync complex molecular data into downstream evaluation applications, and rapidly integrate new innovative services into their platform. This technology allows the company to discover new catalysts with high commercial value quickly and efficiently.