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Category: CockroachDB

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

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 & NoSQL Databases

How Justuno Leveraged YugabyteDB to Consolidate Multiple SQL & 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

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

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

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

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

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Why We Built YugabyteDB by Reusing the PostgreSQL Query Layer

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

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

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

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

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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