Sync data from
Databricks to Mattermost
Connect your data from Databricks to Mattermost with Hightouch. No APIs, no months-long implementations, and no CSV files. Just your data synced forever.
Trusted by data teams at
Trusted by data teams at
Integrate your data in 3 easy steps
Add your source and destination
Connect to 15+ data sources, like Databricks, and 150+ destinations, like Mattermost.
Define your model
Use SQL or select an existing dbt or Looker model.
Sync your data
Define how fields from your model map to Mattermost, and start syncing.
Model your Databricks data using any of these methods
dbt Model Selector
Sync directly with your dbt models saved in a git.
Create and Edit SQL from your browser. Hightouch supports SQL native to Databricks.
Select available tables and sheets from Databricks and sync using existing views without having to write SQL.
For less technical users, pass traits and audiences from Databricks using our visual segmentation builder.
Does this integration support in-warehouse planning?
Yes, if you integerate Databricks and Mattermost using Hightouch, in-warehouse planning is supported.
Great, but what is in-warehouse planning?
Between every sync, Hightouch notices any and all changes in your data model. This allows you to only send updated results to your destination (in this case Mattermost). With the baseline setup, Hightouch picks out only the rows that need to be synced by querying every row in your data model before diffing using Hightouch’s infrastructure.
The issue here is this can be slow for large models.
Warehouse Planning allows Hightouch to do this diff directly in your warehouse. Read more on how this works here.
Why is it valuable to sync Databricks data to Mattermost?
Data platforms like Databricks are designed to help you consolidate all your data across your disparate data sources into a centralized platform so you can transform, model, and consume it through a dashboard or report.
The problem is that Databricks is typically only accessible to technical users who know how to write SQL, and dashboards are quickly forgotten; they don't help you take action on your data. You spend a lot of money getting your data into Databricks, so there's no reason for it just to sit there rotting away in a dashboard.
- Your customer success teams want to know when tickets come in and how to prioritize them
- Your sales team wants to know when a new user signs up and when an account's product usage exceeds your plan limits
- Your finance team wants to be notified when invoices are overdue, or payments fail
You need to take action on key events as they happen. However, gathering this information requires your business teams to hop back and forth between your various SaaS applications.
When you analyze your data in a dashboard, your business teams can only react. When you sync data from your warehouse to Mattermost, you enable your teams to be proactive. For example, a dashboard showing which customers have churned over the last six months is not very useful. However, if you notify your sales and customer success teams in Mattermost every time an account is at risk of churning, you can take action immediately.
Why should you use reverse ETL to connect Databricks and Mattermost data?
Many tools integrate with Mattermost, but not using your warehouse to power your notifications creates a complex web of point-to-point pipelines for every tool in your technology stack. In addition to this, you're limited to the data that exists within that platform, and in many cases, you need to join data from across your company to define specific events, and this is only possible in Snowflake.
When you leverage your Snowflake to power your notifications, you have the complete flexibility and familiarity of SQL. You can easily define your events and models and choose precisely how you want them to appear in Mattermost.
With Reverse ETL, you can customize your notification content in a single platform and choose how and where your messages appear. You can define complex notification triggers using SQL, and you can build interactive messages using powerful frameworks that you're already comfortable with. Hightouch even lets you take advantage of your existing data models. For example, if you have a lead scoring model in your warehouse, you can notify your sales reps once a specific lead reaches you and route it based to the appropriate person based on the criteria that you define.
Rather than building individual Mattermost messages in each of your tools and worrying about the consistency of your data, Hightouch lets you take advantage of the data that already exists in Snowflake and sync it to your destination in real time.
With reverse ETL, you can define everything in a single platform.
Receive a Mattermost notification when your business metrics change
Get notified in Mattermost when users complete certain actions
Power ops workflows by syncing data to Mattermost to notify relevant parties
Databricks is a data science and analytics platform built on top of Apache Spark. Databricks implement the Data Lakehouse concept in a single unified, cloud based platform.Learn more about Databricks
Mattermost is a business communication platform where people can work together more effectively, connect all their software tools and services, and find the information they need to do their best work — all within a secure, enterprise-grade environment.Learn more about Mattermost
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This might be one of the greatest inventions for technical marketers since the advent of legacy CDPs back in 2015.
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