If you're looking for another HEAVY.AI alternative, ThoughtSpot is worth a look. It's a self-service analytics platform that lets users ask complex data questions in plain language and get answers immediately. With search, AI-driven insights, flexible data modeling and visualization, ThoughtSpot is designed to make analytics faster and easier for business teams in finance, retail, healthcare and other fields. It offers a free trial, so you can experiment and share insights with others in your organization.
Another option is DataGPT, a conversational AI data analyst that can generate analyst-quality answers to your questions. It can connect to many data sources, including Bigquery, and has features like automated insights, context awareness and a data navigator to help you explore. DataGPT is good for tasks like segment checking, anomaly detection and comparison analysis, and you can try it for free for two weeks to get started with data-driven decision making at a relatively modest $99 per team per month.
Elastic is another powerful platform with a broad range of tools for search, analytics and data ingestion. Its ELK Stack includes tools for search, analytics and visualization, and Elastic Cloud offers real-time insights on preferred cloud computing services. With tools like Generative AI, security analytics and observability, Elastic helps businesses lower risk and improve customer satisfaction, and it's a good option for companies that need to simplify data analysis and improve operational efficiency.
If you're interested in location intelligence, CARTO is a cloud-native platform for analyzing, visualizing and building applications with spatial data at scale. It integrates with popular cloud computing platforms and comes with a drag-and-drop interface, prebuilt analysis modules and rich data visualization. CARTO is designed for enterprise customers with advanced security controls and flexible pricing, so it's a good option for companies that want to use spatial analytics for business insights and decision making.