Connect Callingly and Databricks to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for Callingly
Choose an Action
Automatically do this!
Create Cluster
Create a Directory
Delete a Job
Create a Repo
Delete Repo
Enable Integrations or automations with these events of Callingly and Databricks
Enable Integrations or automations with these events of Callingly and Databricks
Actions
Create Client
Create a new client in Callingly using the supplied contact details and return the created client's information.
Call Lead
Creates or updates a Lead, calls your Team and puts the first to accept through to the Lead's phone number.
Create Team
Create a team.
Create Cluster
Creates a new Databricks cluster for processing tasks.
Create a Directory
Create a directory by a path.
Delete a Job
This action deletes a job by ID.
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- text is aiReplytoCommentSend a Private ReplyAdd Step
- Is guide commentReplytoComment GuideSend a Private Reply GuideAdd Step
- multi keyword matchcmntdqJzLMYSReplytoCommentMultiKeywordAdd Step
Automate Expense Report Approvals via Slack & QuickBooks
- Send for Approval acceptCreate Entry of expensesAdd Step
- Send for rejectMail for RejectionAdd Step
Automate Instagram DM Replies, Reactions, and Team Alerts
- has responseSendDMMessageAdd Step
- Notify teamSendMailAdd Step
- has reactSendDMMessage ReactAdd Step
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Frequently Asked Questions
To start, connect both your Callingly and Databricks accounts to viaSocket. Once connected, you can set up a workflow where an event in Callingly triggers actions in Databricks (or vice versa).
Absolutely. You can customize how Callingly data is recorded in Databricks. This includes choosing which data fields go into which fields of Databricks, setting up custom formats, and filtering out unwanted information.
The data sync between Callingly and Databricks 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 Callingly and Databricks. 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.
About Callingly
Callingly is a powerful tool designed to help businesses connect with leads instantly by automating the process of making phone calls. It ensures that sales teams can respond to inquiries quickly, improving conversion rates and customer satisfaction.
Learn MoreAbout Databricks
Databricks is a cloud-based data platform that provides a collaborative environment for data engineering, data science, and machine learning. It offers a unified analytics platform that simplifies data processing and enables organizations to build and deploy AI models at scale. With its powerful integration capabilities, Databricks allows teams to work together seamlessly, accelerating innovation and driving data-driven decision-making.
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