CockroachDB Library

Distributed SQL Summit Recap: How Admiral Scales Globally and Achieves Single Digit Latency

November 23, 2020

CockroachDB Databases Distributed SQL Google Cloud Platform MongoDB

Distributed SQL Summit Recap: How Admiral Scales Globally and Achieves Single Digit Latency

At the Distributed SQL Summit 2020, James Hartig – Co-Founder at Admiral, presented the talk “How Admiral Scales Globally with YugabyteDB on Google Cloud While Maintaining Single-Digit Latency.”

Admiral’s Go application runs in Google Cloud across 5 regions in 3 continents. This geo-distributed architecture is powered by a single YugabyteDB cluster that delivers an average global read latency of 3ms! In this talk,

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How Justuno Leveraged YugabyteDB to Consolidate Multiple SQL and NoSQL Databases

September 23, 2020

By Michelle Brinich

Apache Cassandra CockroachDB Customers Google Cloud Platform

How Justuno Leveraged YugabyteDB to Consolidate Multiple SQL and NoSQL Databases

Justuno provides a Conversion Rate Optimization (CRO) Platform that enables e-commerce sites to turn visitors into customers through personalized onsite messaging, intelligent cross-selling, and upselling. More than 188,000 (and counting) industry leading brands improve sales and the customer experience at the same time.

At the heart of the Justuno platform is visitor intelligence data, and there’s a lot of it. Justuno tracks between 30 and 50 data points per visitor–such as time on site,

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Follow-up: Evaluating CockroachDB vs YugabyteDB Webinar

May 22, 2020

By Michelle Brinich

CockroachDB Compare and contrast YugabyteDB

Follow-up: Evaluating CockroachDB vs YugabyteDB Webinar

Earlier this week, Yugabyte CTO Karthik Ranganathan presented the live webinar: Evaluating CockroachDB vs YugabyteDB, with a spotlight on comparing PostgreSQL features, architecture, and the latest performance benchmarks between the two databases. We were delighted to see such interest in the topic, dive deeper into some of the topics we raised in parts 1 and parts 2 of the blog series, Bringing Truth to Competitive Benchmark Claims – YugabyteDB vs CockroachDB, and answer questions from the audience.

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

May 4, 2020

By Karthik Ranganathan

CockroachDB Compare and contrast Distributed SQL Performance Benchmarks PostgreSQL

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
Query layer – reusing PostgreSQL
Storage layer – engineered for performance at scale
A deep dive into performance at large data sizes
Detailed YCSB results
Understanding performance in distributed SQL
- Large vs small data sets
- Range vs hash sharding
Conclusion

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

May 4, 2020

By Karthik Ranganathan

CockroachDB Community News Databases Distributed SQL PostgreSQL

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.

Introduction

At Yugabyte,

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Why We Built YugabyteDB by Reusing the PostgreSQL Query Layer

April 24, 2020

By Sid Choudhury

Amazon Aurora CockroachDB Databases Distributed SQL How It Works PostgreSQL

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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9 Techniques to Build Cloud-Native, Geo-Distributed SQL Apps with Low Latency

October 17, 2019

By Sid Choudhury

ACID Transactions Amazon Aurora Amazon DynamoDB CockroachDB Distributed SQL Google Spanner How It Works PostgreSQL

9 Techniques to Build Cloud-Native, Geo-Distributed SQL Apps with Low Latency

This post is an in-depth look at the various techniques that applications needing low latency and high availability can leverage while using a geo-distributed SQL database like YugabyteDB so that the negative impacts of a high-latency, unreliable Wide Area Network (WAN) are minimized.

Geo-Distributed SQL is the Future of RDBMS

Enterprises are increasingly moving to cloud native applications powered by microservices architecture. These applications run on elastic cloud infrastructure such as serverless frameworks and containers.

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2019 Distributed SQL Summit Recap and Highlights

October 2, 2019

By Jimmy Guerrero

Amazon Aurora CockroachDB Community News Distributed SQL Google Spanner PostgreSQL

2019 Distributed SQL Summit Recap and Highlights

Well, that’s a wrap! Yugabyte would like to extend a special thanks to JD and Amanda from the Postgreconf.org team, and to all the speakers from Facebook, Google, Amazon, Pivotal, Salesforce, Narvar, Plume Design and others that presented at the first-ever Distributed SQL Summit on Sept 20, 2019.

If you couldn’t make it out to this year’s event, have no fear!

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The Effect of Isolation Levels on Distributed SQL Performance Benchmarking

September 24, 2019

By Karthik Ranganathan

Amazon Aurora Amazon Web Services CockroachDB Distributed SQL Performance Benchmarks PostgreSQL YugabyteDB

The Effect of Isolation Levels on Distributed SQL Performance Benchmarking

This post addresses a concern raised about a benchmarking result we recently published comparing the performance of YugabyteDB, Amazon Aurora and CockroachDB. It was pointed out that we unfairly used the default isolation level for each database rather than use serializable isolation level in all databases (even though serializable level was not required for these workloads). In addition, we are also happy to share additional results with the workloads run at YugabyteDB’s serializable isolation level.

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Comparing Distributed SQL Performance – YugabyteDB vs. Amazon Aurora PostgreSQL vs. CockroachDB

September 17, 2019

By Karthik Ranganathan

Amazon Aurora Amazon Web Services CockroachDB Distributed SQL Performance Benchmarks YugabyteDB

Comparing Distributed SQL Performance – YugabyteDB vs. Amazon Aurora PostgreSQL vs. CockroachDB

Update: A new post “The Effect of Isolation Levels on Distributed SQL Performance Benchmarking” includes performance results from running these workloads at serializable isolation level in YugabyteDB.

We are excited to announce the general availability of YugabyteDB 2.0 this week! One of the flagship features of the release was the production readiness of the PostgreSQL-compatible YugabyteDB SQL (YSQL) API. In this blog post, we will look at the performance and scalability of YSQL as compared to two other PostgreSQL-compatible distributed SQL databases –

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