Question: Do you know of a database that combines transactional and analytical capabilities in a single engine, ideal for building smart apps with interactive analytics?

If you need a database that can handle both transactional and analytical workloads in one engine, SingleStore is a great choice. It can handle petabyte-scale data while delivering millisecond query performance. With support for multiple data models like JSON, time-series, and full-text search, SingleStore is a great choice for real-time analytics and smart apps. It also supports high-throughput streaming data ingestion and has flexible scaling options, making it a great option for AI and SaaS apps.

Another good option is EDB Postgres AI, which brings together transactional, analytical and AI workloads on the Postgres database engine. It has native AI vector processing, an analytics lakehouse and high availability for hybrid data estates and AI-infused apps. The platform also comes with migration tools and multiple deployment choices, including cloud-managed services and self-managed software, so you can adapt to whatever environment you need.

For a platform that spans an organization's data for more detailed analytics and AI, check out Teradata and its VantageCloud platform. The platform can handle multiple workloads, including AI/ML, data lakes and transactional data, and can be deployed in public cloud, hybrid cloud and on-premises environments. Teradata's ClearScape Analytics feature offers faster answers and a clear view of data, so you can make better data-driven decisions and innovate more.

Last, Databricks offers a data intelligence platform that spans data, analytics and governance. Built on lakehouse architecture, it offers AI-infused data intelligence and democratized insights through natural language. Databricks is designed to let users build and deploy AI applications directly on their data while keeping control and privacy, so it's a good choice for any data-rich smart app.