Question: Can you recommend a platform that enables collaborative data analysis and visualization across multiple databases?

If you need a service that lets you analyze and visualize data collaboratively across multiple databases, Airbook is worth a look. It provides a collaborative data workspace that can connect to more than 150 data sources, including AWS CloudTrail and Amazon Redshift, and offers interfaces to query data with SQL, Python and no-code tools. It also offers collaborative workspaces, visualization and query saving and reuse, which makes it good for marketing, sales and financial analytics.

Another contender is Outerbase, an AI-boosted database management and exploration service. It's designed for collaboration through its Data Studio and AI-first data exploration across databases like Postgres and Snowflake. It's got natural language queries and data catalogs to let people without deep technical expertise read, write, query and visualize data, too, and it's got security controls to make sure data is protected.

If you need an AI-powered collaborative workspace, Hex is a serious contender. It includes tools for data exploration, AI-assisted query generation and interactive reporting with drag-and-drop interfaces. Hex connects to common data warehouses and lakehouses, and it's got enterprise-scale security controls, so it's a good choice for companies with high security requirements.

Last, Athena is an AI-native analytics service for collaborative data analysis. It integrates with Enterprise Data Warehouses and offers chat-based interfaces for querying data and creating visualizations. Athena also supports infinitely extensible workflows and customizable reports, which means it can be a good fit for companies that want to automate their analytics without manual workflows.