Enable Integrations or automations with these events of Ipregistrty and Zilliz
Get geolocation and threat data for a given IPv4 or IPv6 address.
Parse a user-agent and return browser, device & OS data that can be used to bring user experience to perfection.
List all the Cluster
List all the Cloud regions in zilliz.
Create a dedicated cluster.
Deletes a Specified Cluster
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Workflow automation is the process of using technology to execute repetitive tasks with minimal human intervention, creating a seamless flow of activities.
To start, connect both your Ipregistrty and Zilliz accounts to viaSocket. Once connected, you can set up a workflow where an event in Ipregistrty triggers actions in Zilliz (or vice versa).
Absolutely. You can customize how Ipregistrty 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.
The data sync between Ipregistrty and Zilliz typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.
Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.
Yes, you can set conditional logic to control the flow of data between Ipregistrty 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.
Ipregistrty is a comprehensive IP address lookup service that provides detailed information about IP addresses, including geolocation, ISP details, and security insights. It helps businesses and developers enhance their applications with accurate IP data.
Learn MoreZilliz 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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