Myria vs Snowflake: What are the differences?
What is Myria? Scalable Analytics-as-a-Service platform based on relational algebra. Myria is a distributed, shared-nothing Big Data management system and Cloud service from the University of Washington. We derive requirements from real users and complex workflows, especially in science.
What is Snowflake? The data warehouse built for the cloud. Snowflake eliminates the administration and management demands of traditional data warehouses and big data platforms. Snowflake is a true data warehouse as a service running on Amazon Web Services (AWS)—no infrastructure to manage and no knobs to turn.
Myria and Snowflake belong to "Big Data as a Service" category of the tech stack.
Myria is an open source tool with 97 GitHub stars and 37 GitHub forks. Here's a link to Myria's open source repository on GitHub.
What is Myria?
What is Snowflake?
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Why do developers choose Myria?
Why do developers choose Snowflake?
What are the cons of using Myria?
What are the cons of using Snowflake?
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I use Google BigQuery because it makes is super easy to query and store data for analytics workloads. If you're using GCP, you're likely using BigQuery. However, running data viz tools directly connected to BigQuery will run pretty slow. They recently announced BI Engine which will hopefully compete well against big players like Snowflake when it comes to concurrency.
What's nice too is that it has SQL-based ML tools, and it has great GIS support!