If you need an AI-infused analytics system that can handle high-concurrency queries and deliver quick answers to complex data questions, SingleStore is a good option. It lets you analyze petabyte-scale data in a few milliseconds for real-time data analysis, and it's suited for use cases like generative AI and real-time analytics. The system can handle multiple data models, and it's got elastic scaling and high availability for flexibility and reliability.
Another option is Athena, an AI-native analytics system that's designed to speed up workflows and work on its own. It can integrate with Enterprise Data Warehouses and has collaboration tools for more than 100 concurrent users. Athena supports SQL and Python, and it's got causal AI models that can help with more balanced decision making, so it's a good choice for companies that want to automate data analysis without manual intervention.
ThoughtSpot is another good option, an AI-infused system that lets people ask complex data questions in natural language. It's geared for business teams and product builders, with features like embedded analytics, flexible data modeling and strong governance and security controls. ThoughtSpot is designed to make analytics easy and accessible, so people can quickly explore and share insights.
If you want a more integrated approach, check out Teradata, a cloud analytics and data platform that spans an organization's data. Its flagship product, ClearScape Analytics, delivers fast answers to complex queries while accommodating multiple workloads like AI/ML, lakehouses and data engineering. The system spans hybrid cloud and on-premises systems, so it can scale and accommodate different business needs.