Open Source

YugabyteDB 2.21 Introduces Industry-First Native Orchestration. It’s Disaster Recovery Made Simple. 

YugabyteDB 2.21 Introduces Industry-First Native Orchestration. It’s Disaster Recovery Made Simple. 

Disaster recovery is streamlined with YugabyteDB 2.21, introducing industry-first native orchestration features to ensure your data stays safe and readily accessible in today’s volatile cloud environments. This update not only simplifies resilience with the native xCluster DR but also supports database modernization and risk reduction through advanced isolation levels and Kubernetes Operator.

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Distributed SQL Summit 2022: Become a Data-Driven Organization at Scale

Distributed SQL Summit 2022: Become a Data-Driven Organization at Scale

We are excited to announce that registration is now open for our fourth annual Distributed SQL Summit (DSS) 2022 on September 14th.

This virtual event will be our biggest global event to date. Additionally, a series of in-person DSS days around the world will follow this event.

The Distributed SQL Summit 2022 brings together the Distributed SQL community, customers, partners, and industry thought leaders. The goal of the event is to explore the challenges and opportunities of database modernization and transformation. 

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YugabyteDB and Red Hat OpenShift: Resilient Kubernetes Workloads at Scale

YugabyteDB and Red Hat OpenShift: Resilient Kubernetes Workloads at Scale

Kubernetes has become widely adopted in the Fortune 500. Many companies are now using the platform to run stateless and stateful applications on-premises or as hybrid cloud deployments in production. Of course, with any new technology, there are growing pains when running resilient Kubernetes workloads. But most executives and developers agree that the benefits far outweigh the challenges.

Data on the Kubernetes ecosystem is evolving rapidly with the rise of stateful applications. However,

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Event Highlights and Key Takeaways from DSS Asia 2022

Event Highlights and Key Takeaways from DSS Asia 2022

We held our second annual Distributed SQL Summit (DSS) Asia annual conference on the 30th and 31st of March 2022, following great feedback from our initial event and user demand.

This two-day online conference was packed with fascinating presentations, discussions, and demos from customers, partners, and our own experts.

With 35 engaging sessions to choose from, and more than 40 speakers, the conference served as a hub for advocates, partners, customers,

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Five Benefits to Running a Distributed SQL Database in Kubernetes

Five Benefits to Running a Distributed SQL Database in Kubernetes

A distributed SQL database is a single logical relational database deployed on a cluster of servers. The database automatically replicates and distributes data across multiple servers. These databases are strongly consistent and support consistency across availability and geographic zones in the cloud.

At a minimum, a distributed SQL database has the following characteristics:

  • A SQL API for accessing and manipulating data and objects
  • Automatic distribution of data across nodes in a cluster
  • Automatic replication of data in a strongly consistent manner
  • Support for distributed query execution so clients do not need to know about the underlying distribution of data
  • Support for distributed ACID transactions

But should you run a distributed SQL database in Kubernetes?

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What Every Application Developer Needs to Know About Geo-Distributed Databases

What Every Application Developer Needs to Know About Geo-Distributed Databases

I’ve been working with distributed systems, platforms, and databases for the last seven years. Back in 2015, many architects began using distributed databases to scale beyond the boundaries of a single machine or server. They selected such a database for its horizontal scalability, even if its performance remained comparable to a conventional single-server database.

Now, with the rise of cloud native applications and serverless architecture, distributed databases need to do more than provide horizontal scalability.

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