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High Performance

Announcing YugabyteDB 2.14: Higher Performance and Security

Announcing YugabyteDB 2.14: Higher Performance and Security

Our team continues to deliver new innovations, so we are excited to announce our latest stable release—YugabyteDB 2.14, which delivers higher performance, security and YugabyteDB Anywhere enhancements.

YugabyteDB is quickly becoming the cloud native relational database for the world’s most demanding enterprises, driving data-driven innovation in the face of growth, uncertainty, and change. 

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Database Connection Management: Exploring Pools and Performance

Database Connection Management: Exploring Pools and Performance

There are many secrets to creating a high-performing database application. One such secret is proper database connection management. However, this secret is not specific to YugabyteDB or PostgreSQL, but applies to any database.

In this post, we examine database connection management through the lens of YugabyteDB. We explore pools and performance, and run tests to measure the results. By the end of this post, you’ll have a clear sense of how to make efficient use of database connection management.

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How We Learned to Stop Guessing and Love Low P-Values

How We Learned to Stop Guessing and Love Low P-Values

“I don’t think it’s quite fair to condemn the whole program because of a single slip up, sir.” Famous last words from Kubrick’s 1964 classic Dr. Strangelove, as a forlorn general realizes his negligence is about to lead to nuclear apocalypse. This may feel relatable to any engineer who has immediately regretted pushing the big red “release” button only to later find themselves putting out fires late into the night.

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How YugabyteDB Scales to More than 1 Million Inserts Per Sec

How YugabyteDB Scales to More than 1 Million Inserts Per Sec

There are a number of well-known experiments where eventually-consistent NoSQL databases were scaled out to perform millions of inserts and queries. Here, we do the same using YSQL, YugabyteDB’s PostgreSQL-compatible, strongly-consistent, distributed SQL API. We created a 100-node YugabyteDB cluster, ran single-row INSERT and SELECT workloads with high concurrency – each for an hour and measured the sustained performance (throughput and latency). This post details the results of this experiment as well as highlights the key aspects of the YugabyteDB architecture that makes it fit for such high-volume ingest workloads.

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