Question: Can you recommend a tool that helps teams collaborate on large datasets and generates insights instantly?

If you're looking for a tool to help your team collaborate on big data sets and get insights in real time, Airbook is a good option. It's a collaborative data workspace that can connect to more than 150 data sources through native connectors, letting you query data with SQL, Python or no-code interfaces. The service comes with features like visualization, query saving and reuse, and AI-generated, corrected and explained SQL code (soon). That makes it a good option for marketing, sales, product, customer and financial analytics, helping teams make more data-informed decisions.

Another option is DataChat, a no-code, generative AI tool that lets you turn complex data into insights without having to write any code. Its interface is like familiar spreadsheet and chat software, letting you type in chat boxes and spreadsheets to analyze data. DataChat automates data preparation and exploration, making it a good option for data scientists, analysts and business users who need to make decisions fast and with confidence. It offers a 14-day free trial and pricing that scales depending on how many people are using it.

If you prefer an AI-native approach, Athena could be a good option. The service speeds up analytics workflows with co-pilot and auto-pilot modes that learn workflows and act on their own. It also has collaboration tools for more than 100 people, customizable reports and causal AI models that try to balance competing considerations. Athena is designed to bring data analysis to anyone in an enterprise, not just data scientists, and to speed up workflows and decision making.

Last, Coginiti is a collaborative data operations platform for creating, publishing and consuming trusted data products. It's got features like team collaboration, modular analytic development and a data quality framework. Coginiti integrates with common data platforms and tools to ensure consistent analytics, and AI assistance helps with data wrangling. It's got different tiers for different customers, from individuals to large enterprises, so it's a good option for data teams.