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Integrations

Sync data from
Amazon Athena to Mattermost

Connect your data from Amazon Athena to Mattermost with Hightouch. No APIs, no months-long implementations, and and no CSV files. Just your data synced forever.

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Amazon Athena.
Hightouch sync.
Mattermost.

Trusted by data teams at

Integrate your data in 3 easy steps

  1. 01

    Add your source and destination

    Connect to 15+ data sources, like Amazon Athena, and 125+ destinations, like Mattermost.

    Amazon Athena.

    Connect

    Connector beam.
    Mattermost.

    Log in

  2. 02

    Define your model

    Use SQL or select an existing dbt or Looker model.

    Define your model
  3. 03

    Sync your data

    Define how fields from your model map to Mattermost, and start syncing.

    Amazon Athena.
    Connector beam.
    Mattermost.
    Amazon Athena.

    email

    Connector beam.
    Mattermost.

    email

    Amazon Athena.

    name

    Connector beam.
    Mattermost.

    name

    Amazon Athena.

    total_orders

    Connector beam.
    Mattermost.

    all_orders

    Amazon Athena.

    last_login

    Connector beam.
    Mattermost.

    last_login

Model your Amazon Athena data using any of these methods

  • dbt Model Selector

    Semi-opaque, open dropdown with three example dbt model names such as 'dbt.model.name.1'.

    Sync directly with your dbt models saved in a git.

  • Looker

    Semi-opaque open dropdown with three example Look names such as 'look.1'.

    Query using looks. Hightouch turns your look into SQL and will pull from your source.

  • SQL Editor

    Empty SQL editor.

    Create and Edit SQL from your browser. Hightouch supports SQL native to Amazon Athena.

  • Table Selector

    Semi-opaque open dropdown with three example table names such as 'schema.table.name.1'.

    Select available tables and sheets from Amazon Athena and sync using existing views without having to write SQL.

  • Audiences

    Visual query builder reading 'All rows that...' with a button labeled 'select a property'.

    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

Amazon Athena.

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.

About Mattermost

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

Amazon Athena to Zendesk

Hightouch Playbooks: Best practices to leverage reverse ETL

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    This playbook will show you how to manage multivariate testing across Facebook and Salesforce Marketing Cloud with Hightouch Audiences.

  • Create Facebook Lookalike Audiences from High Value Users.

    Create Facebook Lookalike Audiences from High Value Users

    In this playbook, you will learn how to use Hightouch to sync an audience of high-value customers to Facebook to generate lookalike audiences.

  • Sync Nested Object Data to Braze.

    Sync Nested Object Data to Braze

    This playbook will help you understand how and why you should be leveraging nested object arrays in Braze to deeply personalize your omnichannel marketing campaigns.

Read more about Hightouch

  • What is Reverse ETL? The Definitive Guide .

    What is Reverse ETL? The Definitive Guide

    Learn everything there is to know about Reverse ETL, how it fits into the modern data stack, and why it's different than ETL.

  • What is Operational Analytics & Why You Should Use It.

    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.

  • dbt Cloud: 4 Reasons for Data Teams to Embrace it.

    dbt Cloud: 4 Reasons for Data Teams to Embrace it

    The biggest benefit that dbt Cloud offers to data teams and analytics engineers? Freedom from distractions, and the ability to focus where you can add unique value making sense of your company's data.

Activate data to any of your marketing and advertising tools

Austin Hay.

This might be one of the greatest inventions for technical marketers since the advent of legacy CDPs back in 2015.

Austin Hay

Austin Hay

Head of Marketing Technology

Ramp

Your data is always secure

Unlike other SaaS tools, Hightouch never stores any of your data.
SOC 2 Type 2 compliant.

SOC 2 Type 2 compliant

Your data stays secure, available, and confidential. To see our report, .

GDPR compliant.

GDPR compliant

If you’re in the EU, your data is only processed on EU data centers.

HIPAA compliant.

HIPAA compliant

Healthcare companies like ThirtyMadison, Chapter Health, and Headway trust Hightouch.

CCPA compliant.

CCPA compliant

To see our DPA (Data Processing Addendum), .

52%

increase in return on ad spend

Lucid.

20%

improvement in email engagement

Auto Trader.

60%

lift in customer acquisition

Gorgias.

Ready to activate your data?

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