When considering replication options between YugabyteDB clusters, you have two options—xCluster async replication or setting up Kafka. Learn the when and how and why to both choices.
The Distributed SQL Blog
Discover the challenges of running in the “cloud” as we share our experience with IO issues caused by the cloud infrastructure, providing insights into our analysis and resolution methods, emphasizing the potential risks and limitations of relying solely on cloud providers for issue resolution.
Discover efficient methods to partition data in your queries. Explore techniques like GROUP BY, window functions, recursive CTE queries, and the DISTINCT ON clause to optimize performance and scalability
Amber Windham, Field Marketing Manager at Yugabyte, discusses how building strong relationships and fostering teamwork has created a supportive and unique work environment—one that facilitates professional growth and mentorship.
From Operational to Analytical: Unlock the Potential of YugabyteDB and Materialize Database Integration
Learn how to integrate YugabyteDB Change Data Capture with the Materialize database in our detailed guide. Combine YugabyteDB and Materialize to create a robust data pipeline for operational and analytical workloads with low latency and high scalability. Unlock the potential to build scalable applications that cater to diverse use cases.
This edition of the Distributed SQL Tips and Tricks blog looks at how to achieve region-level fault tolerance with row-level geo-partitioning.
Experience the latest security innovations from YugabyteDB Managed, featuring custom RBAC, and new viewer roles, and encryption at rest with Customer-Managed Keys (CMK) on Google Cloud. Elevate your security strategy, ensuring utmost control and protection for your data in the face of ever-changing challenges.
Discover how the LIKE operator enables pattern matching with wildcards and indexing for specific access patterns, focusing on scenarios where the wildcard is at the beginning or end of the pattern. The examples and demonstrations are performed on YugabyteDB, a PostgreSQL-compatible database with variations in storage implementation.