If you're looking for a cloud-native business intelligence solution that spans multiple hyperscalers and data connectors for analytics at scale, MicroStrategy is a good choice. It includes features like interactive data visualization, natural language querying, predictive analytics and native cloud architecture, spanning multiple hyperscalers like AWS, Azure and Google Cloud and data connectors like Snowflake and Databricks. The platform is designed to help people make decisions with confidence by combining analytics and AI.
Another good option is Databricks, which uses generative AI to link data, analytics and governance. It has a broad set of tools and integrations, including ETL, data ingestion and business intelligence, and is based on lakehouse architecture. It spans multiple hyperscalers and data connectors, making it a good option for democratizing insights and data governance.
Informatica is another good option, offering a cloud-based, AI-infused data management system that integrates and unifies data across multicloud and hybrid environments. It has features like cloud connectivity, modern data architecture and a powerful CLAIRE AI engine to automate data integration tasks. Informatica spans many industries and roles, so it's a good option for companies that want to modernize their data management and get their data ready for AI.
If you want a more all-purpose option, Teradata offers a flexible cloud analytics and data platform that unifies and harmonizes data across an organization. It spans multiple workloads, including AI/ML, lakehouses and data warehouses, and is integrated with leading cloud providers for easy scaling and deployment. The platform's ClearScape Analytics feature delivers faster answers and a clear view of an organization's data, helping with data-driven decision-making and innovation.