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Underlying platforms used by Quantexa
Introduction Quantexa makes extensive use of underlying platforms to enable it to operate at reliably at scale. When choosing these platforms the key principles were that they should be: Open source such that customers would be able to deploy them without incurring licence costs Widely adopted such that there is a large…
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Quantexa deployment patterns best practice
Introduction Quantexa deployments require a simple set of underlying components: Distributed Spark cluster for Quantexa batch data processing Container platform to serve the Quantexa UI and microservices Elasticsearch for serving data to the mid-tier RDBMS for storing user state in the mid-tier Along side these you will…
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Quantexa for multiple use cases
The Quantexa platform is not a point solution; it has been developed on fundamental principles of flexibility and scalability, and supports multiple business applications or use cases in a single system. Many Quantexa deployments will originally serve a single use case, although some may be intended for broader use from…