DataGPT is a conversational AI data analyst that can generate analyst-level answers to your questions. It can be easily integrated with a variety of data sources, including Bigquery, and can automatically generate insights, making it a great option for rapid, data-driven decision-making. Some of its key features include a conversational interface, automated insights, and a data navigator for exploration, all of which can help you automate your data analysis tasks.
Another option is Blaze SQL, an AI-powered data analytics chatbot that directly connects to SQL databases. It can generate SQL queries, create graphs and build dashboards in response to user prompts, so even people without advanced SQL skills can perform data analysis. Blaze SQL offers different pricing tiers and features like AI-generated reporting emails and private database connections, so it can be used in a variety of situations.
For a more collaborative approach, Athena is an AI-native analytics platform that can speed workflows by acting as a co-pilot and auto-pilot. It can integrate with Enterprise Data Warehouses and offer chat-based interfaces for querying data and creating visualizations. Athena supports infinitely extensible workflows and customizable reports, so it's a good option for companies looking to improve analytics without manual workflows.
Last, Tabula offers a no-code platform for business and data teams to combine, transform and visualize data. It automates spreadsheets and workflows, with features like real-time insights, automated workflows and standardized data. Tabula is designed for both technical and non-technical users and can be deployed as on-premise, cloud or desktop apps, so it can be used in a variety of data analysis situations.