Question: I need a solution that can handle large transactions quickly and securely, while providing advanced reporting and analytics for sales operations.

SingleStore is a real-time data platform that's good for petabyte-scale data sets with millisecond query performance. It can handle both transactional and analytical data in one database engine, supports multiple data models, and can ingest high-throughput streaming data from multiple sources. With its flexible scaling and strong security, SingleStore is good for a variety of use cases, including real-time analytics and SaaS applications.

Another strong contender is EDB Postgres AI, which combines transactional, analytical and AI workloads on the Postgres database engine. It's got native AI vector processing, an analytics lakehouse and high availability, so it's a good choice if you want to build AI and analytics into your workloads. It's flexible, too, with multiple deployment options including cloud-managed services and self-managed software for hybrid or multi-cloud environments.

Cloudera offers a hybrid data platform that securely ingests, processes and analyzes data in the cloud and on-premise. It offers a broad range of data services for real-time insights, automated data pipelines and big data analytics. Built on Apache Iceberg, Cloudera offers data reliability and flexibility, and it's a good fit for industries like financial services and healthcare.