Best Agentic Data Management Platforms for Google Sheets
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Compare the Top Agentic Data Management Platforms that integrate with Google Sheets as of September 2026
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This a list of Agentic Data Management platforms that integrate with Google Sheets. Use the filters on the left to add additional filters for products that have integrations with Google Sheets. View the products that work with Google Sheets in the table below.
What are Agentic Data Management Platforms for Google Sheets?
Agentic data management platforms use autonomous AI agents to manage, govern, and optimize data across complex enterprise environments. They can discover data assets, monitor data quality, and take action to resolve issues such as schema drift, access violations, or pipeline failures. These platforms reason over metadata, usage patterns, and policies to automate decisions that traditionally require human intervention. Many agentic data management platforms integrate with data warehouses, lakes, and analytics tools to operate across the full data lifecycle. By reducing manual effort and improving reliability, they help organizations maintain trusted, scalable, and well-governed data systems. Compare and read user reviews of the best Agentic Data Management platforms for Google Sheets currently available using the table below. This list is updated regularly.
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Kana
Kana
Kana is an agentic marketing platform that helps teams turn fragmented marketing data into real-time decisions and measurable business outcomes. Its applications connect data across the marketing ecosystem, unify information that normally sits in separate tools, and identify patterns, risks, behavioral signals, and opportunities as they emerge. It recommends and executes next-best actions, replacing manual guesswork with data-driven decisions designed to improve performance. Kana’s marketing operating layer sits across tools such as email platforms, ad systems, CRMs, spreadsheets, and other software, using AI agents to coordinate data and actions as one system. Rather than functioning only as generative AI that responds to prompts, its agents can work toward goals, plan multi-step workflows, process signals in real time, and execute actions across the marketing stack.
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