Analyze your SendGrid Data in SeekWell

Integrating SendGrid and SeekWell has never been easier. Try Panoply for Free
Easily integrate data from over 80+ sources so it’s always ready for action.

Panoply in 30 seconds

See how easy it is to connect your data using Panoply. In just a few minutes, you can set up a data warehouse and start syncing your SendGrid data.

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Fuel your analytics

Panoply automatically organizes data into query-ready tables and connects to popular BI tools like SeekWell as well as analytical notebooks. From executives to analysts, your entire team will have access to the most up-to-date data and insights they need to drive your business forward.

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Code-free data pipeline

Seamlessly sync SendGrid and all your other data sources with Panoply’s built-in ETL. Set up a pipeline in minutes with our simple point-and-click interface, then we’ll handle the ongoing maintenance so you can focus on building value, not fixing leaky plumbing.

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All your data in one place

Easily sync and store over 80+ data sources. Break down the silos separating your data to create a single source of truth your whole company can rely on.

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SendGrid is a Partner Data Source. Please see our Documentation to learn more about partner data sources.

Integrate with SeekWell in minutes

The SeekWell analytics developer platform features a SQL editor and creates automated dashboards in Google Sheets. With its Seek Assistant tool, programmers can write code faster with AI and natural language processing. SeekWell has a shareable code repository, so you can access and reuse stored code and establish consistent programming metrics for your team. This BI tool offers free and paid versions and in-app support. SeekWell connects to five databases, but you can connect to unlimited data types with the Panoply integration. Panoply’s AI-driven ETL automatically uploads, processes, and stores all kinds of data together in one place. Its secure, enterprise-level data pipeline is the only fully integrated cloud service that combines an automated ETL with a data warehouse.

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