Introducing the Sync Databricks Workspace health check, a program that we’ve spearheaded to help Databricks users identify common mistakes in their Workspaces. Here at Sync, we’ve worked with a ton of companies and looked at their overall Databricks workspace usage. We’ve seen all sorts of usage from jobs, all-purpose compute, SQL warehouses, to Delta Live
Jeffrey ChouBlog
When trying to determine Databricks pricing, one of the most important aspects to consider is the cost of your cloud provider. This means one of three companies: Microsoft Azure, Amazon AWS, or Google Cloud. All three cloud service providers are extremely popular, and there’s no finite answer to which is best. Most companies choose one
Jeffrey ChouBlog
Today we are excited to announce our next major product update for Gradient to help companies optimize their Databricks Jobs clusters. This update isn’t just a simple UI upgrade… We upgraded everything from the inside out! Without burying the lead, here’s a screenshot of the new project page for Gradient above. Back in the last
Jeffrey Chou
Blog, News
Databricks’ SQL warehouse products are a compelling offering for companies looking to streamline their production SQL queries. However, as usage scales up, the cost and performance of these systems become crucial to analyze. In this blog we take a technical deep dive into the cost and performance of their serverless SQL warehouse product by utilizing
Jeffrey Chou
Blog, Case Study
Databricks recently released System Tables, to help users understand and monitor their usage. They also had the older and more skunk works project called Overwatch, which also provides usage and infrastructure information. So what’s the difference between the two? When should I use either one? Let’s dive in! Introduction Databricks as a whole is a
Jeffrey ChouBlog
Databricks is a popular unified analytics platform and a go-to solution for many organizations looking to harness the power of big data. Its collaborative workspaces have become the industry standard for data engineering and data science teams and an ideal environment for building, training and deploying machine learning and AI models at scale. However—as with
Jeffrey ChouBlog
