Question: I need a system that can scale large-scale data analytics and provide self-service data exploration and visualization capabilities.

For a system that can handle large-scale data analytics and offer self-service data exploration and visualization, Databricks is a great option. It brings generative AI to provide data intelligence, democratizes insights with natural language, and operates at a low cost. It's built on a lakehouse architecture that supports a broad range of tools and integrations, making it a good fit for a wide range of users. You can try it with a free trial to see for yourself.

Another option is ThoughtSpot, an AI-infused analytics system that lets you ask complex data questions in natural language. It combines search, AI-driven insights, embedded analytics and flexible data modeling so business teams can make decisions based on data. It's designed for data-driven decision-making and analytics modernization, and it scales to accommodate companies of all sizes. You can try it with a free trial.

For a hybrid approach, Cloudera has a platform that securely ingests, processes and analyzes data in the cloud and on-premise. It can combine massive amounts of data from different sources into a single trusted system for insights and AI model training. With a wide range of data services, including real-time insights and scalable application deployment, Cloudera is used across industries to help businesses run better and make better decisions.