Optimize Amazon Redshift for Performance
Even highly optimized data warehouses suffer from slow queries. intermix.io surfaces query optimization recommendations to data teams, so they can focus on writing queries versus fighting fires.
“Our data warehouse was simply unresponsive. Dashboards wouldn’t return results for 20 minutes. Today, we’re at a completely different level of performance. Now, 3 seconds wait time is the worst case scenario for us.” – Aaron Biller, Postmates
A single place to track all queries and user activity,
for all time.
intermix.io is built to give visibility across teams, no matter how many BI tools or users running queries.
- Query introspection so you can “see” queries from individual users, even when they use a BI application with a single login
- See the physical layout of data, and how it impacts query performance
- Solve problems impacting performance using actionable data, instead of guessing
For Query Authors
Everyone is writing queries, but not everyone writes good SQL.
- Get query optimization recommendations for individual queries
- Share and collaborate on re-writing queries along with your team
- Get alerts on your slowest queries, no matter what tools you are using
For Data Warehouse Admins
Spend more time building ETL pipelines, less time fighting fires.
- Measure and improve SLAs for individual end-users and apps
- Find cause of ETL pipeline failures
- Optimize warehouse resources with actionable recommendations
Platforms & Integrations
Amazon Redshift
Google Big Query
Snowflake
Azure SQL
We can see the historic growth of our data down to the schema, with visibility into the quality of our tables. intermix.io reads like a story of our data infrastructure – I see immediately what’s up.
Sebastian Schleicher
VP of Engineering
A unified view of your
analysis tools
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