If you're looking for a tool that can connect to multiple data sources and generate complex queries without requiring manual SQL editing, Airbook is a strong candidate. This collaborative data workspace connects to over 150 data sources and allows you to query data using SQL, Python, or no-code interfaces. It features a variety of tools including collaborative workspaces, query saving and reuse, version control, and AI-generated, corrected, and explained SQL code (soon). Airbook supports a wide range of integrations and is suitable for various use cases such as marketing analytics, sales analytics, and financial analytics.
Another excellent option is Morph, an AI-powered data assistant that makes data accessible and usable for all stakeholders. Morph ingests data from multiple sources, analyzes it, and exports the results without any coding required. It supports querying, visualization, and reporting, and allows users to import data from their favorite tools and connect to various SQL databases like Snowflake, BigQuery, Postgres, and MySQL. With both free and Pro plans, Morph is ideal for users who need to quickly set up data analysis and make informed decisions.
For a cloud-based solution, Monitr offers a unified view of data across multiple sources. It connects to data sources like Supabase, Postgres, MySQL, and any data source with an API endpoint, and includes collaborative SQL querying and powerful analytics tools powered by Meta AI's Llama 3 LLM. Monitr's features include chart and dashboard creation, unlimited database connections, and a free plan with generous offerings, making it a user-friendly choice for data centralization and management.