Question: I need a platform that supports parallel processing and high security for complex transactions, can you suggest one?

If you need a platform that can handle parallel processing and that has high security for sensitive transactions, Parallel AI is a strong contender. This relatively new platform automates business processes with AI models like GPT4 and has robust security options like AES-256 encryption, TLS 1.2+ encryption and Single Sign-On with SAML 2.0. It lets you easily add AI to your business processes and offers a variety of pricing plans to accommodate different needs.

Another strong contender is JuliaHub, which offers advanced modeling, simulation and collaboration tools using the Julia language for parallel and distributed computing. It offers high-performance computing on demand and features like authenticated access, private package management and Git-based access controls to keep data safe. JuliaHub is geared for technical computing tasks and collaborative environments.

For big data processing and analysis, Cloudera offers a hybrid data platform that securely ingests, processes and analyzes data in the cloud and on-premise environments. It offers real-time insights, automated data pipelines and large-scale data analytics, and is well-suited for industries like finance, manufacturing and health care. Cloudera's built-in security and data reliability features help ensure sensitive data is protected.

Also worth considering is SingleStore, a real-time data platform that combines transactional and analytical data in one engine. It offers high-throughput data ingestion and millisecond query performance, so it's good for intelligent applications that need real-time analytics. With a focus on security and scalability, SingleStore is a good choice for handling large amounts of complex data securely and efficiently.