Integrate Chatwork with Databricks to automate workflows, sync data between apps, and eliminate repetitive tasks with AI-powered automation.
Create Cluster in Databricks when New Message in a Room in Chatwork
Delete a Job in Databricks when New Message in a Room in Chatwork
Create a Repo in Databricks when Message Updated in Chatwork
Delete Repo from Databricks when Message Updated in Chatwork
Create a Directory in Databricks when New Message in a Room in Chatwork
Start from a real workflow other teams are already running.
Chatwork
When this happens...
New Message in a Room
Message Updated
Databricks
Automatically do this!
Create Cluster
Create a Directory
Delete a Job
Create a Repo
Delete Repo
Create Cluster in Databricks when New Message in a Room in Chatwork
Use this flowDelete a Job in Databricks when New Message in a Room in Chatwork
Use this flowCreate a Repo in Databricks when Message Updated in Chatwork
Use this flowDelete Repo from Databricks when Message Updated in Chatwork
Use this flowCreate a Directory in Databricks when New Message in a Room in Chatwork
Use this flowCreate Cluster in Databricks when Message Updated in Chatwork
Use this flowDelete a Job in Databricks when Message Updated in Chatwork
Use this flowDelete Repo from Databricks when New Message in a Room in Chatwork
Use this flowCreate a Repo in Databricks when New Message in a Room in Chatwork
Use this flowCreate a Directory in Databricks when Message Updated in Chatwork
Use this flowEverything you can automate between Chatwork and Databricks.
When this happensTriggers
A trigger is an event that starts a workflow.
Triggers when new message is created in Room.
Triggers when message is updated in a Room.
Action is the task that follows automatically within your Chatwork integrations.
Sends a new message to a specific group chat in ChatWork.
Get members of a chat room.
Add a new task to the chat.
update a chat room.
Creates a new Databricks cluster for processing tasks.
Create a directory by a path.

Follow a simple walkthrough to create, test, and launch your first automation.
Connect your apps
Link the apps you want to automate.
Configure your workflow
Set up triggers, actions, and map your data.
Test & publish
Test your workflow and publish it.
Recognized by leading review platforms and trusted by 10,000+ businesses worldwide.
Just describe the task in plain English. viaSocket AI selects the right apps, builds the workflow, maps the fields, and prepares everything for review before you publish.

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Chatwork is a collaborative platform designed to streamline communication and project management within teams. It offers features such as group chat, task management, file sharing, and video calls to enhance productivity and foster seamless collaboration.
Learn moreDatabricks 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.
Learn moreSign up for a free viaSocket account, then authorize both your Chatwork and Databricks accounts. From there, pick a trigger in one app and an action in the other. Your first workflow can be live in under five minutes.
Yes. viaSocket uses instant triggers where available, so data moves between Chatwork and Databricks as soon as the event happens. Scheduled polling triggers run at a maximum interval of 15 minutes.
Yes. You can map specific fields, apply filters to skip records that do not match your conditions, and transform values before they reach Databricks. No coding required.
Yes. You can set up a workflow where Chatwork triggers actions in Databricks, and a separate workflow where Databricks triggers actions in Chatwork. Both run independently and in real time.
viaSocket logs every run so you can see exactly what succeeded and what failed. Failed tasks can be retried from the dashboard without re-configuring the workflow.
Yes, there is a free plan that covers basic workflows between Chatwork and Databricks. Paid plans unlock higher task limits, faster polling, and advanced features like multi-step workflows and conditional logic.
No. The entire Chatwork and Databricks integration is built through a visual, point-and-click interface. Code blocks are available if you want them, but they are never required.