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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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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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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YugabyteDB vs CockroachDB vs. Amazon Aurora: Comparing PostgreSQL-Compatible Database Performance

September 17, 2019

By Karthik Ranganathan

Amazon Aurora CockroachDB Compare and contrast

YugabyteDB vs CockroachDB vs. Amazon Aurora: Comparing PostgreSQL-Compatible Database Performance

One of the flagship features of the Yugabyte distributed SQL database is the PostgreSQL-compatible YSQL API. Let’s take a look at the performance and scalability of YSQL and compare it to two other PostgreSQL-compatible databases—Amazon Aurora PostgreSQL and CockroachDB.

CockroachDB

Contents of this post

TLDR

Explore Distributed SQL and YugabyteDB in Depth