Grupo Globo, the largest media group in Latin America, recently completed a successful migration from Apache Cassandra to Bigtable for their popular streaming service, Globoplay. This migration was driven by the need for improved performance, scalability, and cost savings.
The migration process involved several key steps. First, the Grupo Globo engineering team ported the existing Cassandra codebase to Bigtable to ensure compatibility. This step was crucial in preserving functionality and minimizing disruptions during the transition.
Next, the team enabled duplicate writing in both databases, allowing for seamless data synchronization between Cassandra and Bigtable. This ensured that data remained consistent across both platforms while minimizing the risk of data loss.
To migrate the existing data from Cassandra to Bigtable, Grupo Globo utilized Google Dataflow, a powerful data processing and analytics service. This allowed for efficient and reliable data migration, minimizing downtime and ensuring a smooth transition.
As part of the migration validation process, Grupo Globo utilized Diffy, a powerful diffing tool designed specifically for comparing data between two different platforms. This helped to identify any inconsistencies or discrepancies between Cassandra and Bigtable and ensured the integrity of the migrated data.
To minimize disruptions to the streaming service, the rollout of read requests to Bigtable was done gradually. The migration team carefully monitored the performance and stability of Bigtable before gradually directing an increasing percentage of read requests to the new system. This approach allowed for fine-tuning and optimization of Bigtable and ensured a seamless experience for Globoplay users.
The migration from Cassandra to Bigtable has delivered significant benefits for Grupo Globo. Firstly, the move to Bigtable has resulted in substantial cost savings for the organization. The improved performance and scalability of Bigtable have allowed for more efficient resource utilization, resulting in reduced infrastructure costs.
Furthermore, the migration has significantly improved the overall performance of Globoplay. With Bigtable’s powerful and reliable infrastructure, the streaming service now experiences faster response times, reduced latency, and improved customer satisfaction.
Lastly, the migration has provided increased scalability and reliability for Grupo Globo. Bigtable’s distributed architecture and auto-scaling capabilities have allowed the organization to handle increased data volumes and user traffic without sacrificing performance or stability.
In conclusion, Grupo Globo’s migration from Cassandra to Bigtable has been a resounding success. By carefully planning and executing the migration process, the organization has achieved improved performance, cost savings, scalability, and reliability for their streaming service. This case study serves as a testament to the value of adopting modern, cloud-based technologies for organizations looking to optimize their infrastructure and deliver an enhanced user experience.

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Grupo Globo successfully migrated from Cassandra to Bigtable for improved performance, scalability, and cost savings. The migration involved porting the existing codebase, enabling duplicate writing, and using Google Dataflow for data migration. Diffy was used for validation, and a gradual rollout of read requests was implemented. The migration resulted in cost savings, improved performance, and increased scalability and reliability for Globoplay.

Globo's Successful Migration from Cassandra to Bigtable for Improved Performance and Cost Savings