Product

You certainly don’t need a GUI to work with a Postgres-compliant database. For example, CockroachDB – a Postgres-compliant distributed SQL database – comes with a powerful SQL shell that you can run right from your console. But what if you want something a little more visual? Never fear! There are quite a few options for third-party graphic user interface (GUI) tools for CockroachDB. Let’s take a look at some of the most popular ones.

Charlie Custer

September 1, 2021

Follower reads are a key feature that developers wanting to use multi-region databases should understand. We originally introduced them in this blog post, and later documented their use here. In this post, we’ll quickly review the basics of follower reads, highlight some potential issues, and propose a new type of follower reads that we’re exploring to address those issues: bounded staleness reads.

Structured Query Language (SQL) was developed to work with relational databases that organize and store information in groups of columns and rows, called tables. They are “relational” because of relations linking data between different tables (think: Excel). SQL has lasted for decades, and it’s become the industry standard because of its ease, versatility, and power in working with transactional data. SQL is easy to learn for beginners, and can take developers far in their careers. It’s still the best language for defining data architecture, and it remains more popular among data engineers and scientists than languages like Python or R.

Amruta Ranade

August 26, 2021

Cloud-native application architectures help developers deliver amazing experiences to their customers around the world. They do this by taking advantage of billions in cloud provider investments, which provide nearly unlimited and on-demand resources spread across hundreds of data centers globally.

Nate Stewart

July 29, 2021

Distributed, cloud-native databases are the future, but setting one up is complicated, right? It doesn’t have to be! In fact, you can register for free and set up a new CockroachDB Dedicated database in the time it takes to make a bowl of ramen:

Charlie Custer

July 28, 2021

Retailers often function in distributed application environments, with data squirreled away in databases around the country, or even the globe. It’s totally common to use different solutions for different workloads — for example, Cassandra for fast data reads with Oracle as the primary system of record. Often these different apps each do their specific job well, but getting them to talk to each other? Not so good.

Michelle Gienow

July 23, 2021

Kubernetes adoption has massively accelerated, leading the way to a new, cloud-native approach to building and delivering the software that businesses need to make users happy and employees successful. Slow and heavy lifting has been replaced with interchangeable, self-contained software objects that can be configured by a simple configuration and scaled through automated replication. If an object fails, it is replaced. To deliver new software, objects are replaced while still in motion.

CockroachDB on Kubernetes is now in general availability, providing users with a Kubernetes database and a custom, open source Operator [available on GitHub and in the RedHat Marketplace] that automates deployment, management, and maintenance. This release enables teams at any skill level to run a relational database on Kubernetes. More organizations are shifting to a cloud native architecture that makes use of containerized apps and services [read: How does Bose use Kubernetes & CockroachDB?], and they are looking for strong, proven platforms. Kubernetes enables organizations to automate the deployment and management of container-based services, providing huge value for organizations operating in the cloud.

Meagan Goldman

July 15, 2021

When the performance of your SQL database drops suddenly, do you know why? Tracking performance and linking cause to effect can be tricky with real-world database systems. DBAs, architects, and SREs are often working with multiple database systems, each with multiple databases in various states of development, testing, and production. These systems are often mixed between one or more cloud providers and self-hosted servers. On top of that, the performance of each database is influenced by auto-scaling, constantly-shifting workloads, engineering changes and updates, and more!