The Distributed SQL Blog

Thoughts on distributed databases, open source and cloud native

YugabyteDB Engineering Update – Jan 29, 2020

We are pleased to announce that YugabyteDB 2.0.11 is now live!  You can read the official release notes of this and previous versions here. These two releases shipped with a combined 30+ new enhancements and fixes.

What’s YugabyteDB? It is an open source, high-performance distributed SQL database built on a scalable and fault-tolerant design inspired by Google Spanner.

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Distributed SQL vs. NewSQL

Our previous post in this series “What is Distributed SQL?” highlights the common architectural principles as well as the business benefits of distributed SQL databases. In this post, we compare distributed SQL databases against NewSQL databases so that we can better understand their differences.

Before we dive into NewSQL, it is important to understand why NoSQL databases like MongoDB and Apache Cassandra came into prominence in the mid-to-late 2000s.

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How to Migrate the Sakila Database from MongoDB to Distributed SQL with Studio 3T

Whether it’s consolidation, or modernizing your data infrastructure, data migration is a serious undertaking. Without sufficient planning, countless hours will be spent constructing the proper schema in the target database, and picking the proper ETL tools to help move the data. In this blog we will show you how to migrate the Sakila demo database from MongoDB to a YugabyteDB cluster using the Studio 3T tool.

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Four Data Sharding Strategies We Analyzed in Building a Distributed SQL Database

A distributed SQL database needs to automatically partition the data in a table and distribute it across nodes. This is known as data sharding and it can be achieved through different strategies, each with its own tradeoffs. In this post, we will examine various data sharding strategies for a distributed SQL database, analyze the tradeoffs, explain the rationale for which of these strategies YugabyteDB supports and what we picked as the default sharding strategy.

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