Connect TMDB and Fivetran to Build Intelligent Automations

Choose a Trigger

TMDB

When this happens...

Choose an Action

Fivetran

Automatically do this!

We'll help you get started

Our team is all set to help you!

Customer support expert avatarTechnical support expert avatarAutomation specialist expert avatarIntegration expert avatar

Frequently Asked Questions

How do I start an integration between TMDB and Fivetran?

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

Can we customize how data from TMDB is recorded in Fivetran?

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

How often does the data sync between TMDB and Fivetran?

The data sync between TMDB and Fivetran 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 TMDB to Fivetran?

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 TMDB and Fivetran?

Yes, you can set conditional logic to control the flow of data between TMDB and Fivetran. 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.

TMDB

About TMDB

TMDB (The Movie Database) is a comprehensive platform offering detailed information about movies, TV shows, and celebrities. It provides a vast collection of data including cast, crew, release dates, and more, making it an essential resource for movie enthusiasts and professionals.

Learn More
Fivetran

About Fivetran

Fivetran is a leading data integration service that automates the process of connecting and syncing data from various sources into a centralized data warehouse. It simplifies the ETL (Extract, Transform, Load) process, allowing businesses to focus on analyzing their data rather than managing data pipelines.

Learn More