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Add your source and destination
Connect to 15+ data sources, like Amazon Athena, and 125+ 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 Amazon Athena data using any of these methods
dbt Model Selector
Sync directly with your dbt models saved in a git.
Query using looks. Hightouch turns your look into SQL and will pull from your source.
Create and Edit SQL from your browser. Hightouch supports SQL native to Amazon Athena.
Select available tables and sheets from Amazon Athena and sync using existing views without having to write SQL.
For less technical users, pass traits and audiences from Amazon Athena using our visual segmentation builder.
Why is it valuable to sync Amazon Athena data to Mattermost?
Data platforms like Amazon Athena 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 Amazon Athena 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 Amazon Athena, 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 Amazon Athena 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
About Amazon Athena
Amazon Athena is an interactive query service that makes it easy to analyze data in Amazon S3 using standard SQL. Athena is serverless, so there is no infrastructure to manage, and you pay only for the queries that you run.Learn more about Amazon Athena
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
Other Amazon Athena Integrations
Other Mattermost Integrations
Hightouch Playbooks: Best practices to leverage reverse ETL
Read more about Hightouch
What is Operational Analytics & Why You Should Use It
Operational Analytics shifts the focus from simply understanding data to taking action on it in the tools that run business processes. Instead of using dashboards to make decisions, Operational Analytics is focused on turning insights into action – automatically.
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