The Distributed SQL Blog

Thoughts on distributed databases, open source, and cloud native

INSERT INTO Yugabyte (We’re Hiring, April Is Diversity Month Edition)

It’s been an exciting time so far this year since our last hiring post. Yugabyte continues to hire across all roles in all regions! In this month’s post we’ll share with you recent company happenings, introduce a new diversity and inclusion program that we’re incredibly excited about, introduce a member of the team so you can “meet” some of your potential new coworkers,

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Creating Standard Patterns to Load Data into YugabyteDB with Apache Airflow

At this year’s Distributed SQL Summit Asia 2021, Viraj Parekh and Pete DeJoy from Astronomer presented the talk, “Creating Standard Patterns to Load Data in YugabyteDB with Apache Airflow.”

Apache Airflow is an open source workflow orchestrator that is used by data teams of all sizes. Airflow is trusted by organizations like Marriott,

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What’s New in YugabyteDB Docs – March 2021

Welcome to the latest edition of what’s new and improved in Yugabyte Docs. We’re always adding new and updating existing documentation to provide you with the most up-to-date information on YugabyteDB, Yugabyte Platform, and our database ecosystem.

YugabyteDB Core

We had previously launched the Explore section to help users get started with YugabyteDB.

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Fortune 500 Financial Services Company Chooses YugabyteDB to Support Microservices and Mainframe Migration Initiatives

Situation

A large, global financial services company is pursuing digital transformation initiatives across the board, with one of its biggest priorities being application modernization. The bank wants to untether itself from the mainframe and its existing monolithic environment and migrate to a modern microservices-oriented, cloud native architecture to better serve its customers and exponential growth in volume. A second priority is to consolidate the numerous database technologies to simplify their environment and lower costs.

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Getting Started with DBeaver EE and YugabyteDB Cloud Query Language (YCQL)

Developers and DBAs widely use SQL editors to design database schemas, write ad hoc queries, troubleshoot, and manage the security policies and database users. For these reasons, it is essential for us as builders of YugabyteDB to bring native integration with popular database tools like DBeaver.

If you are following the YugabyteDB project and our blog posts, you’ll know YugabyteDB currently supports two APIs – YSQL and YCQL (NoSQL) – for querying the database.

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Why I Joined Yugabyte

Databases are omnipresent

Back in 2016 I started at Nutanix, fresh after finishing my graduate studies. This was barely a couple of weeks after two of Nutanix’s employees, Karthik and Kannan, left to start Yugabyte with Mikhail Bautin. They were still the subject of a few watercooler chats at Nutanix, mainly because of their bold decision to enter the database market,

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Yugabyte Secures $48M in Funding and Sets the Stage for Global Growth

We are excited to announce that Yugabyte has closed a $48M funding round led by Lightspeed Venture Partners with additional participation by Greenspring Associates, Dell Technologies Capital, Wipro Ventures, and 8VC. This comes on the heels of a $30M raise announced in June 2020, bringing the total funding currently raised to $103M. This additional funding will be used to accelerate the launch of the fully managed Yugabyte Cloud offering in addition to growing the R&D,

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Using the PostgreSQL Recursive CTE – Part Two

Computing Bacon Numbers for actors listed in the IMDb

YugabyteDB 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.

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Using the PostgreSQL Recursive CTE – Part One

Traversing an employee hierarchy

YugabyteDB 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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