If you're looking for a single platform that can run transactional, analytical and AI workloads, EDB Postgres AI is a good choice. It runs all three types of workloads on the Postgres database engine, with native AI vector processing, an analytics lakehouse and unified observability. It's designed for high availability and performance, and for hybrid or multi-cloud environments, so it's a good strategic technology asset for companies that want to marry AI and analytics.
Another good option is SingleStore, a real-time data platform that can run both transactional and analytical workloads in one engine. It can ingest streaming data at high throughput and respond to queries in milliseconds, so it's a good choice for generative AI and real-time analytics. The platform scales flexibly and has a universal store that combines the performance of columnstore and rowstore databases, so it's a good foundation for a variety of data models and AI workloads.
Teradata is a broad cloud analytics and data platform that unifies and harmonizes data across an organization. It can run multiple workloads, including AI/ML, lakehouses and data warehouses, and can run in public cloud, hybrid cloud or on-premises environments. Teradata's ClearScape Analytics feature offers faster answers and a clear view of data, which can help you optimize resources and make better data-driven decisions.