Cloud Modernizing with DBShift™ for Databricks Migration

With a strong presence in the media industry, this leading company relied on Redshift to manage and process its growing analytics workloads. Over time, high operational costs and limited scalability began to slow down the analytics, making it harder to deliver timely insights. The growing gap between the business needs and platform capability made the modernization requirement.  

To meet the growing analytics demands, Databricks was selected as its next-generation platform. Migrating Redshift pipelines in dbt to databricks and terabytes of data manually would have been slow and costly. The organization needed a faster, safer way to modernize its analytics foundation without disrupting ongoing operations. 

To address these challenges, the client partnered with Systech. Using its flagship DBShift™ product, Systech automated the migration from Redshift dbt pipelines to Databricks dbt pipelines by precisely updating ETL logic to SparkSQL, simplifying a complex process, reducing manual effort and ensuring a smooth transition. The outcome was a super-fast, cost-effective, scalable, cloud-native platform that enabled faster and more reliable analytics. 

Business Needs 

To keep up with its growing data demands, the client needed to modernize its analytics foundation and address the rising costs and limitations of Redshift. Its priorities were to: 

• Super-Fast – Cutting down the migration time to over 70% compared to earlier manual approach.  

• Lower Operating Costs – Reduce the high expenses of maintaining Redshift to scale. 

• Enable Scalability – Move to a cloud-native platform that could handle increasing data volumes and workloads. 

• Accelerate Migration – Eliminate time-intensive manual work with automation for a faster transition. 

• Ensure Reliable Results – Maintain accuracy and consistency during migration without disrupting ongoing operations. 

Systech Delivery 

Systech partnered closely with the client to manage a complex migration. Using the DBShift™ product, the team reduced manual effort, accelerated timelines and ensured accuracy. The result was a seamless transition to Databricks without disrupting business operations. 

Solution 

Systech implemented a structured approach to accelerate the migration to Databricks: 

• Aligned on Objectives – Collaborated with the organization to define migration goals and success criteria. 

• Activated DBShift™ – Used automation to convert 1,500 Redshift jobs into SparkSQL and migrate 2TB of data into Databricks. 

• Validated Accuracy – Rigorous testing was carried out to ensure that the migrated workflows delivered consistent results. 

• Ensured a Smooth Transition – Delivered a ready-to-use Databricks environment with minimal disruption to business operations. 

Impact 

• Delivered Migration 80% Faster – DBShift™ accelerated the transition compared to semi –automated or manual methods. 

• Achieved 92% Conversion Accuracy – Automated workflows ensured consistent, high-quality results with minimal rework. 

• Seamless Business Continuity – The migration was executed smoothly with no disruption to the ongoing operations. 

• Scalable Development – Established a strong foundation on Databricks to support future growth and evolving business needs. 

With this migration completed and now operates on a scalable Databricks platform that enables faster insights. The client is well positioned to take on future analytics projects, modernization initiatives and long-term growth. 

Related Resources:

Future of Modernization: GenAI + Cloud Transformation

Learn how GenAI-powered modernization accelerates cloud adoption, unlocks real-time analytics, and prepares healthcare enterprises for scalable, AI-ready transformation with Systech’s proven approach.