The Distributed SQL Blog

Thoughts on distributed databases, open source and cloud native

YugabyteDB Engineering Update – May 6, 2020

YugabyteDB Release Updates

We are excited to announce that YugabyteDB 2.1.5 is GA! The 2.1.5 release shipped with over 40 new enhancements and fixes. Also, yesterday we hit a milestone that we are very proud of–we welcomed our 1000th member to the YugabyteDB community Slack channel! Congrats to Rob Sami for being the 1000th member,

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Bringing Truth to Competitive Benchmark Claims – YugabyteDB vs CockroachDB, Part 2

In part 1 of this blog series, we highlighted multiple factual errors in the Cockroach Labs analysis of YugabyteDB. In this second post we provide the next layer of detail behind YugabyteDB’s architecture, with an emphasis on comparing it to that of CockroachDB’s.

Contents of this post

TLDR

Yugabyte SQL is based on a reuse of PostgreSQL’s native query layer.

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Bringing Truth to Competitive Benchmark Claims – YugabyteDB vs CockroachDB, Part 1

This is the first in a two part blog series which highlights factual errors in the Cockroach Labs analysis of YugabyteDB. In the second post in this series, we provide the next layer of detail behind YugabyteDB’s architecture, with an emphasis on comparing it to that of CockroachDB’s.

Contents of this post

Introduction

At Yugabyte,

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Why We Built YugabyteDB by Reusing the PostgreSQL Query Layer

Reusing PostgreSQL’s native query layer instead of writing a new PostgresQL-compatible query layer ground up has been one of the best design decisions we have made in YugabyteDB. As outlined in the challenges we faced building a distributed SQL database, we have battle scars to prove this insight – we started writing a PostgreSQL-compatible query layer from scratch before realizing that we simply cannot build the world’s best cloud native RDBMS in a timely manner if we persist down this path.

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Spanning the Globe without Google Spanner

Open Source Geo-Distributed Relational Database on Multi-Cluster Kubernetes

Google Spanner, conceived in 2007 for internal use in Google AdWords, has been rightly considered a marvel of modern software engineering. This is because it is the world’s first horizontally-scalable relational database that can be stretched not only across multiple nodes in a single data center but also across multiple geo-distributed data centers,

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YugabyteDB Engineering Update – April 13, 2020

We are excited to announce that YugabyteDB 2.1.3 is GA! You can read the official release notes here. This release shipped with over 60 new enhancements and fixes.

The Yugabyte team has been working from home in order to do our part with social distancing and to help with containment efforts. We have also transitioned to online meetings with our customers,

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Scaling Relational Spring Microservices Without Load Balancers

This article was originally posted on JAXenter.com.

Modern cloud native applications demand relational databases to be highly available while being able to scale to millions of requests (RPS) and thousands of transactions per second (TPS) on demand. This is becoming essential to meet the seamless experience demanded by business applications and their users. High availability and scalability in NoSQL databases like Apache Cassandra and MongoDB are well understood,

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Scaling a Hasura GraphQL Backend with Distributed SQL

GraphQL is taking the modern development world by storm having been adopted by companies like Facebook, GitHub and Intuit because it solves many of the common problems developers encounter when working with REST APIs. For example, it solves issues like overfetching (getting more data than your response needs) and underfetching (having to make multiple fetches to get all the data you need),

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