Why We Love Databricks Runtime

At zeb, our digital transformation solutions are designed to set your organization up for immediate and long-term success. In addition to unique business insights, we leverage our expertise in innovative AI to create customized solutions. As an AWS Premier Tier Partner and 2024 AWS Rising Star Partner of the Year, Databricks is one of our most preferred platforms. Featuring Databricks Runtime, it enhances your competitive advantage in today’s rapidly evolving tech landscape.

How Databricks Runtime Works

A foundational software element of Databricks, Databricks Runtime is optimized for large-scale data processing. Including Apache Spark and other Databricks components, it provides streamlined, efficient, and secure processing for big data initiatives.

Powerful Performance

One of the most impressive features of Runtime is the Databricks I/O module, or DBIO. It leverages the Databricks vertically integrated stack to significantly improve Spark’s processing capabilities in the cloud, with speeds that are:

5x faster than Vanilla Apache Spark on AWS
8x faster than Presto on AWS
3x faster than Impala via Cloudera

Stronger Security

Another crucial module is Databricks Enterprise Security, or DBES. It delivers data encryption at rest and in motion, fine-grained data access control, as well as compliance auditing, all while maintaining data integrity and meeting essential security requirements.

Operational Simplicity

Runtime also includes features such as auto-scaling, which automatically adjusts computational resources, reducing operational complexity and management costs. And local storage improves speed and performance while minimizing data transfer fees and other costs that come with remote storage.

Dynamic Cost Management using Databricks Autoscaling

Databricks Runtime’s auto-scaling capability automatically adjusts the necessary computational resources up or down based on workload demand. This helps eliminate the operational overhead of manually provisioning and deprovisioning resources. By auto-scaling, organizations no longer have to spend time determining the right hardware sizing and configurations needed for their jobs. Databricks Runtime handles this automatically based on predefined policies.

This frees up valuable admin and DevOps resources. Auto-scaling also reduces costs by ensuring resources are only active when needed. During periods of low usage, resources can be scaled down to minimize idle instances sitting unused. And when demand spikes, additional resources are provisioned instantly to maintain performance.

Overprovisioning is avoided, which is a common issue with manual scaling approaches. Organizations only pay for the exact resources their workload requires at any given time. This auto-scaling capability delivers significant cost savings versus static resource allocations that cannot dynamically adjust. Overall infrastructure and cloud expenses become more predictable and optimized with auto-scaling managed by Databricks Runtime.

The Vision

By partnering with zeb on a Databricks Runtime solution, your organization can strategically align tech integrations with enterprise objectives, quickly achieve valuable insights, as well as reduce operational complexity. Best of all, you’ll be future-proofing your investment with the adoption of advanced AI and machine learning capabilities. Discover how zeb can help transform your data strategy today by contacting us at sales@zeb.co