Thoughts on distributed databases, open source, and cloud native
Welcome to this week’s tips and tricks blog where we explore topics related to combining GraphQL and YugabyteDB to develop scalable APIs and services. We’ll also review upcoming events, new documentation, and blogs that have been published since the last tips and tricks post.
This next section is for those of you who might be new to either GraphQL or distributed SQL.
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It has been an exciting last few weeks here at Yugabyte! We closed our Series B funding round, Bill Cook (formerly of Pivotal and Greenplum) joined as our new CEO, we reaffirmed our commitment to open source, and achieved a bunch of cool community adoption milestones. We are hiring for several roles across engineering,
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Read MoreIt’s been another fast-moving month here at Yugabyte. Although it remains a difficult time nationally and globally, it’s our hope that sharing this information and our currently open positions may be some good news at a time when it’s needed most.
On the momentum front, we recently announced that we raised $30 million in an oversubscribed Series B funding round led by 8VC,
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Read MoreWelcome to this week’s tips and tricks blog where we recap some distributed SQL questions from around the Internet. We’ll also review upcoming events, new documentation, and blogs that have been published since the last post. Got questions? Make sure to ask them on our YugabyteDB Slack channel, Forum, GitHub, or Stackoverflow.
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Read MoreYugabyteDB is an open source, high-performance distributed SQL database built on a scalable and fault-tolerant design inspired by Google Spanner. YugabyteDB uses its own special distributed document store called DocDB. But it provides SQL and stored procedure functionality by re-using the “upper half” of the standard PostgreSQL source code. This is explained in the two part blog post “Distributed PostgreSQL on a Google Spanner Architecture”: (1) Storage Layer;
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Read MoreThe term “polymorphism”, and its inflections, has various meanings in the context of programming languages in general. Roughly, it means “chameleon-like”. Of course, Wikipedia has something to say about it, here. PostgreSQL uses it with this meaning: “Parametric polymorphism: when one or more types are not specified by name but by… symbols that can represent any type”.
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Read MoreWelcome to our first blog post focused on what’s new and improved in YugabyteDB Docs. We’re continually adding to and updating the documentation to give you the information you need to make the most out of YugabyteDB. This post covers recent content added, and changes made, to the YugabyteDB documentation. Before jumping into new content, the first section covers the efforts we’ve made to help you quickly find the answers you’re looking for.
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Read MoreHere is an intriguing SQL puzzle we came across in the context of a real-world use case. This post shows the power of advanced RDBMS features such as partial indexes and expression indexes.
Let us assume we have a table in PostgreSQL named users, where each row in the table represents a user. The table is defined as follows.
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Read MoreJAMstack is a new way of building websites and apps. It’s not a technology but rather an architectural pattern that is growing in popularity. In JAMstack, the JAM acronym stands for JavaScript, API, and Markup, and the main idea behind the technology is that web applications don’t have to rely on the application server to be fully functional and robust.
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Read MoreWhile it is still early days, it is exciting to see the YugabyteDB community hit some cool milestones! We wanted to share them with you, plus update you some additional community related news.
First things first. Recent events that resulted in the death of George Floyd at the hands of police have been traumatic and painful for many of us,
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