Question: I need a solution that can quickly process large datasets for business insights, can you recommend one?

For fast data processing to get business insights out of big data, SingleStore is a strong contender. It's a real-time data platform that can process petabyte-scale data sets in milliseconds, with high-throughput streaming data ingestion and millisecond query performance. It supports a variety of data models and has a universal store that combines the performance of columnstore and rowstore databases, and it's good for generative AI and real-time analytics.

If you're looking for an AI-native analytics system, Athena is a collaborative tool that speeds up analytics workflows. It's got SQL and Python support, integrates with Enterprise Data Warehouses, and has features like chat-based interfaces for asking questions of data and creating visualizations. Athena is designed to make data analysis accessible to everyone, so businesses can make data-driven decisions without having to set up manual workflows.

Last, Avian is a generative Business Intelligence platform that uses natural language processing to let people analyze data and extract key metrics. It can connect to many data sources and offer real-time insights without storing user data, which makes it GDPR, CCPA and SOC/2 compliant. It's good for businesses that want to quickly find insights and take action without having to set up a lot of infrastructure or write a lot of code.