Amazon recently launched Aurora DSQL, a new distributed SQL database that validates the growing importance of distributed SQL and introduces unique architectural features tied to the AWS infrastructure. This blog examines Aurora DSQL’s PostgreSQL compatibility, architectural distinctions, concurrency control, multi-region capabilities, and positioning relative to YugabyteDB in the evolving database landscape.
A key challenge in a distributed SQL database is achieving high throughput and consistency for both write and read operations. This blog explores the new YugabyteDB Cost Based Optimizer (CBO), an essential piece of the puzzle to achieve high throughput for read operations. It highlights the challenges we tackled while developing the CBO, and details how some of the most impactful aspects of YugabyteDB are modeled.
We are thrilled to announce powerful new capabilities and architectural enhancements — collectively called enhanced Postgres compatibility — that allow a broader range of Postgres apps to run on YugabyteDB. This latest development makes YugabyteDB the perfect database for companies building cloud-native applications and modernizing existing applications to a cloud-native RDBMS. Click to discover what’s new in YugabyteDB and why we decided to build these new capabilities.
Jepsen tests and a chaos-driven testing framework play a crucial role in identifying and addressing vulnerabilities. However, traditional testing methods fall short for cloud-native applications and distributed systems. This blog provides the latest Jepsen updates for YugabyteDB, as well as sharing information on additional in-house built frameworks for resiliency and consistency testing that go far beyond Jepsen.
Combine the power of cloud-native distributed database YugabyteDB with real-time, scalable data lake intelligence from watsonx.data. This blog explores how YugabyteDB can be seamlessly integrated with watsonx.data (IBM’s Presto-based data lake) using the Postgres driver, and details critical business use cases.
Looking to deliver a low-latency experience across multiple cloud regions? Discover how to deploy a high-performance multi-region application on Google Cloud by leveraging Apigee to proxy requests to local backend services and YugabyteDB for data distribution.
Whether it’s managing complex in-game transactions, or providing low-latency access to a global player base, YugabyteDB is the cornerstone of next-gen gaming infrastructure. This blog explores how YugabyteDB addresses the unique challenges of online gaming, and provides insights into its technical capabilities and real-world applications.
Discover how a top bank used the YugabyteDB xCluster Playbook to evaluate and adopt xCluster, and achieve business continuity for critical applications. By following the Playbook, organizations can expedite and harden their evaluation process for YugabyteDB xCluster, and gain a clear understanding of whether it meets their specific needs.
YugabyteDB’s automatic sharding overcomes PostgreSQL’s partition key limitations by allowing date range queries without modifying table partitioning. Thanks to its global secondary indexes, which don’t require a shared sharding key, YugabyteDB enhances performance by distributing rows across multiple servers. Discover the full advantages and see step-by-step instructions in our latest blog post.
YugabyteDB achieved PCI DSS Level 1 compliance, the highest assurance level, for our fully-managed DBaaS offering. This affirms our commitment to securing highly sensitive data while delivering strong performance. An independent Qualified Security Assessor validated YugabyteDB’s compliance with PCI DSS requirements.
