Myria vs Stitch: What are the differences?
Developers describe Myria as "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. On the other hand, Stitch is detailed as "All your data. In your data warehouse. In minutes". Stitch is a simple, powerful ETL service built for software developers. Stitch evolved out of RJMetrics, a widely used business intelligence platform. When RJMetrics was acquired by Magento in 2016, Stitch was launched as its own company.
Myria and Stitch can be primarily classified as "Big Data as a Service" tools.
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 Stitch?
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Why do developers choose Myria?
What are the cons of using Myria?
What are the cons of using Stitch?
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Looker , Stitch , Amazon Redshift , dbt
We recently moved our Data Analytics and Business Intelligence tooling to Looker . It's already helping us create a solid process for reusable SQL-based data modeling, with consistent definitions across the entire organizations. Looker allows us to collaboratively build these version-controlled models and push the limits of what we've traditionally been able to accomplish with analytics with a lean team.
For Data Engineering, we're in the process of moving from maintaining our own ETL pipelines on AWS to a managed ELT system on Stitch. We're also evaluating the command line tool, dbt to manage data transformations. Our hope is that Stitch + dbt will streamline the ELT bit, allowing us to focus our energies on analyzing data, rather than managing it.