Register now for the Distributed SQL Summit on Nov 12th. This hybrid event gives the distributed SQL community, customers, partners, and industry leaders a forum to explore how they can eliminate complexity and embrace a modern data ecosystem. Join us to discover the latest distributed SQL innovations and use cases, plus the chance to share your experiences (and questions) with peers and industry experts.
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.
Delivering query parallelism is a key step on our journey to narrow the performance gap between Postgres and YugabyteDB. This blog examines the Postgres Parallel Query feature supported and available in the latest version of YugabyteDB. Click to discover how query parallelism is implemented and functions in Postgres, and what we did to ensure the feature works in YugabyteDB.
A key part of our effort to achieve full Postgres compatibility is providing support for bitmap scans (a scan type that combines multiple indexes). This blog deep dives into the high-level strategy of bitmap scans and examines how Postgres implements bitmap scans, how we adapted bitmap scans to work for YugabyteDB, and areas where YugabyteDB bitmap scans go beyond vanilla Postgres.
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.
Integrating Microsoft Fabric Data Pipelines with YugabyteDB using incremental data loading is an efficient and scalable solution for managing large datasets. This blog explores how you can easily ingest data from YugabyteDB and process and store it in Microsoft Fabric Lakehouse using Microsoft Fabric’s Data Pipeline. The result is seamless data flow, centralized storage, and robust analytics capabilities, enabling effective data-driven decision-making.
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.
Combining Budibase’s intuitive low-code platform with YugabyteDB’s scalable and reliable distributed database allows businesses to streamline operations, reduce costs, and speed-up time to market. Discover how you can leverage the powerful combination of Budibase and YugabyteDB to build a robust order management application.
We aim to prove YugabyteDB’s enhanced Postgres compatibility by migrating 100 popular open source Postgres applications to YugabyteDB! Discover how you can get involved in the Postgres App Century Challenge.
