The Distributed SQL Blog

Creating a Centralized Consent Database for 80M Citizens Across 100k+ Companies

Creating a Centralized Consent Database for 80M Citizens Across 100k+ Companies

At this year’s Distributed SQL Summit Asia 2021, Cetin Yalcin Gulec, Shivam Arora, and Cem Aladogan from Softtech presented the talk, “Creating a Centralized Commercial Consent Database for 80M Citizens Across 100k+ Companies.” In this post you can find a summary of the talk, some of the presentation highlights, as well as links to this talk and others from the event.

A Quick Introduction to Softtech

Cem kicked things off with a quick introduction to Softtech.

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Distributed SQL Tips and Tricks – April 7, 2021

Distributed SQL Tips and Tricks – April 7, 2021

Welcome back to our bi-weekly 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 channelForumGitHub, or Stack Overflow. Let’s dive right in:

How to create client certs and propagate those on the yb-nodes using the YSQL API

There was a behavior change for the YSQL API after YugabyteDB version 2.5.2 where client certs are no longer required to authenticate to a TLS enabled cluster.

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An Adventure in Multi-Cloud with Kubernetes and Distributed Data

An Adventure in Multi-Cloud with Kubernetes and Distributed Data

At this year’s Distributed SQL Summit Asia 2021, Leon Kuperman from CAST AI presented the talk, “An Adventure in Multi-Cloud with Kubernetes and Distributed Data.”

Setting the Scene

CAST AI is an AI-driven cloud optimization platform for Kubernetes that helps companies cut their cloud bill and prevent downtime. In the presentation, Leon walks through how to deploy a highly available YugaybteDB cluster across three cloud providers (AWS,

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Creating Standard Patterns to Load Data into YugabyteDB with Apache Airflow

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, RBC, Zapier, and Sonos. Given its flexible nature, Airflow is used to interact with everything from legacy on-prem systems to distributed,

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What’s New in YugabyteDB Docs – March 2021

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. YugabyteDB is an open source distributed SQL database that uniquely combines enterprise-grade RDBMS capabilities with the horizontal scalability and resilience of cloud native architectures.

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

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

A large, global financial services company is pursuing digital transformation initiatives across the board, with its biggest priorities focused around application modernization. Their goals were to untether from the mainframe, consolidate its numerous database technologies, and migrate to a modern microservices-oriented, cloud native architecture. Learn how they did it and the benefits they achieved.

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

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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How my Wish to Contribute to Open Source Lead me To Join Yugabyte

How my Wish to Contribute to Open Source Lead me To Join 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, one that is definitely not known for being easy.

It became apparent to me why databases are hard.

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

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

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. This is explained in the two part blog post “Distributed PostgreSQL on a Google Spanner Architecture”: (1) Storage Layer;

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