If you're looking for a tool to help you quickly and easily analyze big data, DataChat is a great option. It's a no-code, generative AI platform that converts complex data into actionable insights. With its conversational interface, you can upload data and ask questions, and the platform will generate AI-powered answers. It automates data preparation, exploration, and modeling so it's great for data scientists, analysts and business users who need to make decisions fast and with confidence.
Another tool worth checking out is Luminal, an AI-powered spreadsheet management tool that accelerates data cleaning, transformation and analysis. It can handle big data and includes data visualization, all through natural language prompts. Luminal's AI copilot can do things like clean data and reformat it, and it supports multiple languages and secure encryption. It's designed to automate work that's typically done by professional data analysts, so you can focus on getting insights.
If you're looking for something more flexible and customizable, Patterns is an information retrieval system that uses large language models like GPT-4 to generate SQL and charts. It connects to your database and generates answers based on your prompts. With features like text-to-analytics in 60 seconds, natural language interface and multiple communication channels, Patterns is good for startups, enterprises and developers who need to accelerate their data analysis.
Last, Athena is an AI-native analytics platform that accelerates analytics workflows through co-pilot and auto-pilot modes. It's easy to integrate with Enterprise Data Warehouses, supports SQL and Python, and offers collaborative tools for multiple users. Athena's customizable reporting and workflow automation make it great for businesses that need to accelerate their data analysis and make data-driven decisions across the enterprise.