IntegrationsFormstackZilliz
Formstack + Zilliz

Connect Formstack and Zilliz to Build Intelligent Automations

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Formstack

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Zilliz

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Frequently Asked Questions

How do I start an integration between Formstack and Zilliz?

To start, connect both your Formstack and Zilliz accounts to viaSocket. Once connected, you can set up a workflow where an event in Formstack triggers actions in Zilliz (or vice versa).

Can we customize how data from Formstack is recorded in Zilliz?

Absolutely. You can customize how Formstack data is recorded in Zilliz. This includes choosing which data fields go into which fields of Zilliz, setting up custom formats, and filtering out unwanted information.

How often does the data sync between Formstack and Zilliz?

The data sync between Formstack and Zilliz typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.

Can I filter or transform data before sending it from Formstack to Zilliz?

Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.

Is it possible to add conditions to the integration between Formstack and Zilliz?

Yes, you can set conditional logic to control the flow of data between Formstack and Zilliz. For instance, you can specify that data should only be sent if certain conditions are met, or you can create if/else statements to manage different outcomes.

Formstack

About Formstack

Formstack is a versatile online form builder that enables users to build and design web forms without any coding expertise. It supports data collection, customer feedback, and internal processes enhancement through customizable forms and surveys.

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Zilliz

About Zilliz

Zilliz is a leading provider of vector database solutions, designed to handle large-scale data processing and analytics. It offers advanced capabilities for managing and querying vector data, making it ideal for AI and machine learning applications. Zilliz's platform is optimized for high performance and scalability, enabling businesses to efficiently process and analyze complex datasets.

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