As a distributed cloud-native transactional database with always-on availability and on-demand scaling, YugabyteDB is the ideal fit for containerized applications powered by Kubernetes. We have continued to invest in YugabyteDB on Kubernetes, making great strides and seeing significant customer successes. This blog explores the latest updates.
Node.js brought JavaScript to the backend via Google’s V8 runtime engine over 15 years ago. Newly-released Deno 2.0 boasts backward compatibility with Node.js, offering far greater performance. Read this blog to discover how to create a simple REST API using Deno and YugabyteDB.
Discover why some Yugabyte customers chose to migrate to YugabyteDB from Microsoft SQL Server (MSSQL) to achieve enhanced order/orderline schema performance. Our latest blog also features a quick start guide and details a top YugabyteDB performance tuning tip.
The partnership of Tonic.ai and Yugabyte brings together the best of synthetic data generation and distributed SQL databases to provide a cutting-edge, cloud-native experience for developers and enterprises. Read our blog to discover how you can unlock new possibilities for innovation and growth with Tonic Structural and YugabyteDB.
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.
