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Category: YugabyteDB

Distributed SQL Tips and Tricks – December 16th, 2021

Distributed SQL Tips and Tricks – December 16th, 2021

Welcome back to our tips and tricks blog series! I have the distinct pleasure of recapping distributed SQL questions from around the Internet for the month of December.

This ongoing series would not be possible without Dorian Hoxha, Franck Pachot, and  Frits Hoogland. We also thank our incredible user community for their work with the technology.

Do you have any questions?

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The Most PostgreSQL-Compatible Distributed SQL Database is YugabyteDB

The Most PostgreSQL-Compatible Distributed SQL Database is YugabyteDB

This morning we announced the general availability of YugabyteDB 2.11, a major release which extends PostgreSQL compatibility of the open source distributed SQL database! These updates allow application developers to use powerful and familiar PostgreSQL features without compromising resilience, scale, or performance. 

One of the biggest roadblocks to database adoption is a lack of familiarity. Developers love PostgreSQL and want to work with the familiar API in order to be productive.

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Distributed SQL Tips and Tricks – November 2nd, 2021

Distributed SQL Tips and Tricks – November 2nd, 2021

Welcome back to our tips and tricks blog series! With October officially a wrap, I have the pleasure of recapping some distributed SQL questions from around the Internet. There was no Tips and Tricks edition for September as the Yugabyte team was focused on our 2021 Distributed SQL Summit. If you did not have a chance to check it out, you can view the sessions on-demand.

As always,

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How to Build Applications with YugabyteDB and Apache Spark

How to Build Applications with YugabyteDB and Apache Spark

At Distributed SQL Summit 2021, we presented a workshop on how to build an application using the YugabyteDB Spark Connector and YugabyteDB to deliver business outcomes for our customers.

The YugabyteDB Spark Connector brings together the best of breed technologies Apache Spark — an industry-leading, distributed computing engine — with YugabyteDB, a modern, cloud-native distributed SQL database. This connector allows customers to seamlessly and natively read from, perform complex ETL,

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Customer Chat with Paul Gaffney of Kohl’s

Customer Chat with Paul Gaffney of Kohl’s

A few weeks ago, Yugabyte CEO Bill Cook and I had the pleasure of speaking with Paul Gaffney, the CTO and Chief Supply Chain Officer of Kohl’s during a virtual fireside chat as part of our Catalysts of Change series. Paul is a visionary tech leader with an extensive track record of driving technology change and innovation at companies like Dick’s Sporting Goods, The Home Depot, and AAA of Northern California,

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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.

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Transforming the Omnichannel Experience at Kroger

Transforming the Omnichannel Experience at Kroger

At the Distributed SQL Summit, Mahesh Tyagarajan – VP Engineering, Kroger – presented the talk “Technology Strategy and Transformation”. The talk focused around the technology infrastructure, current challenges, and the need faced by Kroger to transform its technology stack.

Kroger is as big as retail gets

Kroger is the largest supermarket in the US, 2nd largest retailer in the US,

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Introducing yugabyted, the Simplest Way to Get Started with YugabyteDB

Introducing yugabyted, the Simplest Way to Get Started with YugabyteDB

Users familiar with YugabyteDB’s architecture know that it is based on two servers where cluster metadata storage and administrative operations are managed by a YB-Master metadata server that is independent from the YB-TServer database server. The end result is that the YB-Master server can be configured and tuned (in a manner that is completely isolated from YB-TServer) to achieve higher performance and faster resilience than a single-server architecture. However, the need for these two servers to come together in a cluster increases the mental burden on a new user who wants to experience the database’s benefits in the shortest time possible.

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TPC-C Benchmark: 10,000 Warehouses on YugabyteDB

TPC-C Benchmark: 10,000 Warehouses on YugabyteDB

We are excited to announce that the TPC-C benchmark implementation for YugabyteDB is now open source and ready to use! While this implementation is not officially ratified by the TPC organization, it closely follows the TPC-C v5.11.0 specification.

For those new to TPC-C, the aim of the benchmark is to test how a database performs when handling transactions generated by a real-world OLTP application. This blog post shows the results of running the TPC-C benchmark in addition to outlining our experience of developing and running a TPC-C benchmark against YugabyteDB.

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