If you're looking for a platform that supports live queries and integrates with a variety of data sources like Google Analytics and Shopify, Avian could be a good option. It's a generative Business Intelligence platform that lets users ask questions to discover insights, build reports and take action using natural language processing. It supports live queries, connects to data sources like spreadsheets, LinkedIn Ads and Google Analytics, and offers real-time insights without storing user data.
Another contender is Airbook, a collaborative data workspace that speeds up data analysis and insights generation for teams. It can connect to more than 150 data sources, including Google Analytics, and lets you query data with SQL, Python or no-code interfaces. It also has features like collaborative workspaces, visualization, query saving and version control, making it a good fit for use cases like marketing analytics and product analytics.
If you're looking for a conversational AI approach, check out DataGPT. It lets you ask questions and get analyst-quality answers in a flash, connecting to data sources like Bigquery and Google Analytics. Features include a conversational interface, automated insights and a data navigator for exploration, so it's a good option for rapid-fire, data-driven decisions.
Last, DataChat is a no-code, generative AI platform that helps you cut through the complexity of data analysis. You can upload data and ask questions to get AI-generated answers, and it automates tasks like data prep and outlier analysis. With its spreadsheet and chat software interface, DataChat is good for data scientists and business users who want to turn data into useful insights without having to write code.