Our team has been hard at work to deliver industry-leading features to support users in achieving optimal performance within the Databricks ecosystem. Take a look at our most recent releases below. Worker Instance Recommendations Introducing Worker Instance Recommendations directly from the Sync UI. With this feature, you are able to tap into optimal cluster configuration
Jeffrey Chou
News
Forma.ai is a B2B SaaS startup based in Toronto, Canada building an AI powered sales compensation system for enterprise. Specifically, they seamlessly unify the design, execution, and orchestration of sales compensation to better mobilize sales teams and optimize go-to-market performance. Behind the scenes, Forma.ai deploys their pipelines on Databricks to process sales compensation pipelines for their
Jeffrey Chou
Case Study
Sync Computing Partners with Databricks for Lakehouse Job Cluster and Usage Optimization — Self-improving machine learning algorithms provide job cluster optimization and insights for Databricks users
Jeffrey Chou
Press
Realities of company and cloud complexities require new levels of control and autonomy to meet business goals at scale
Jeffrey ChouBlog
Insider’s engineering blog discusses how they integrated the Sync Gradient API into their Airflow pipelines to continuously monitor and reduce costs.
Jeffrey Chou
Case Study
As many previous blog posts have reported, tuning and optimizing the cluster configurations of Apache Spark is a notoriously difficult problem. Especially when a data engineer needs to lower costs or accelerate runtimes on platforms such as EMR or Databricks on AWS, tuning these parameters becomes a high priority. Here at Sync, we will experimentally
Jeffrey Chou
Blog, Case Study
