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Category: Distributed SQL

Announcing DSS ’21: Third Annual Distributed SQL Summit

Announcing DSS ’21: Third Annual Distributed SQL Summit

We are delighted to announce that registration is now open for the third annual Distributed SQL Summit! DSS 2021 will happen on September 21-23, bringing together the YugabyteDB open source user community, customers, partners and industry thought leaders to explore opportunities and experiences of embracing modern cloud native data architectures. We are planning sessions and workshops that will dive into use cases, technologies, and best practices for adopting distributed SQL databases for any app at any scale across any cloud.

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Connecting to YugabyteDB with Arctype, a Collaborative SQL Client

Connecting to YugabyteDB with Arctype, a Collaborative SQL Client

YugabyteDB is PostgreSQL compatible. It uses the same protocol and SQL layer as PostgreSQL. This makes YugabyteDB compatible with a majority of database tools, because PostgreSQL is the most popular open source database on the planet. Here is an example with Arctype, a user-friendly collaborative SQL client to query and visualize data.

Setting up a database connection

1. I went to https://arctype.com/ and downloaded the client for Windows.

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Distributed SQL Summit Asia Recap: How Xignite Delivers Financial Data at Scale

Distributed SQL Summit Asia Recap: How Xignite Delivers Financial Data at Scale

At Distributed SQL Summit Asia, Qin Yu – VP, Engineering, Xignite – presented a talk on how Xignite uses YugabyteDB to power its technology infrastructure to meet the current and future data needs of its financial services and fintech customers.

Xignite – A pioneer in market data innovation

Xignite is on a mission of “making market data easy.” It does this by offering a cloud-based Market Data Management Solution that aggregates and manages market data in the cloud,

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Catalysts of Change: Fireside Chat with Paul Gaffney of Kohl’s

Catalysts of Change: Fireside 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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Distributed SQL Tips and Tricks – July 9th, 2021

Distributed SQL Tips and Tricks – July 9th, 2021

Welcome back to our bi-weekly tips and tricks blog where I have the pleasure of recapping some distributed SQL questions from around the Internet. This blog series would not be possible without all of the behind the scenes and community work done by YugabyteDB members such as Dorian Hoxha and Frits Hoogland. All of us here at Yugabyte also have to thank our incredible user community for their work with the technology,

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Multi-Region YugabyteDB Deployments on Kubernetes with Istio

Multi-Region YugabyteDB Deployments on Kubernetes with Istio

This blog post is written by guest author Bhavin Gandhi, Software Engineer at InfraCloud Technologies, Inc., in collaboration with teams at Yugabyte. InfraCloud helps startups, SMBs, and enterprises scale by adopting cloud native technologies.

As organizations deploy applications across multiple cloud regions to better meet user demand and comply with regulations such as GDPR, there is a need to distribute data across geographic regions.

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Auto-Balancing Data in YugabyteDB, a Distributed SQL Database

Auto-Balancing Data in YugabyteDB, a Distributed SQL Database

YugabyteDB is a distributed, fault tolerant and highly available database with extremely low latencies for reads and writes. Data in YugabyteDB is sharded, replicated and balanced across multiple nodes that can potentially be in different availability zones, regions or even clouds for that matter. In this blog post, we look at how data balancing happens in YugabyteDB and some of the key features of YugabyteDB’s “Cluster Balancer.”

The cluster balancer runs once every second.

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Deploy a Real-Time Polling App with Hasura Cloud and YugabyteDB Managed

Deploy a Real-Time Polling App with Hasura Cloud and YugabyteDB Managed

Hasura is a leading vendor in the GraphQL ecosystem, offering a powerful alternative to REST for building microservices and mobile applications. Hasura’s open source GraphQL Engine connects to your database and instantly auto-generates a production-ready GraphQL API backend. YugabyteDB, the open source distributed SQL database, is a perfect complement to GraphQL giving you horizontal scalability, fault tolerance, and global data distribution in a single system. YugabyteDB eliminates many of the scaling and resilience limitations of a traditional monolithic RDBMS.

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Yugabyte + Hasura Make it Easier to Build Complex, Global Applications

Yugabyte + Hasura Make it Easier to Build Complex, Global Applications

Building innovative applications that improve user experience and exceed expectations is hard. As users, we demand a lot. We demand that your applications always be available – who knows, we may want to order a new set of tires at 3:30 am on a Wednesday. We demand that your applications be fast wherever we are – doesn’t matter if it’s Phnom Penh or Philadelphia. And we definitely expect you to give us a good experience – your application should know what we want to do next and help us get there.

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Reads in YugabyteDB – Tuning Consistency, Latency and Fault Tolerance

Reads in YugabyteDB – Tuning Consistency, Latency and Fault Tolerance

Introduction

YugabyteDB is built primarily to be a CP database per the CAP theorem. It supports two interfaces – YSQL for SQL workloads and YCQL for Cassandra-like workloads. In this blog, we will primarily talk about the YCQL interface. When an application interacts with the database using the YCQL interface, the writes are always consistent and reads are consistent by default. When this level of consistency is not required, YugabyteDB supports two other types of reads:

1.

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