SQL

Distributed ACID Transactions with High Performance

April 24, 2018

ACID Transactions Databases Distributed SQL Google Spanner How It Works Performance Benchmarks

Distributed ACID Transactions with High Performance

ACID transactions are a fundamental building block when developing business-critical, user-facing applications. They simplify the complex task of ensuring data integrity while supporting highly concurrent operations. While they are taken for granted in monolithic SQL/relational databases, distributed NoSQL/non-relational databases either forsake them completely or support only a highly restrictive single-row flavor (see sections below). This loss of ACID properties is usually justified with a gain in performance (measured in terms of low latency and/or high throughput).

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Orchestrating Stateful Apps with Kubernetes StatefulSets

April 17, 2018

By Sid Choudhury

How It Works How To Kubernetes

Orchestrating Stateful Apps with Kubernetes StatefulSets

Kubernetes, the open source container orchestration engine that originated from Google’s Borg project, has seen some of the most explosive growth ever recorded in an open source project. The complete software development lifecycle involving stateless apps can now be executed in a more consistent, efficient and resilient manner than ever before. However, the same is not true for stateful apps — containers are inherently stateless and Kubernetes did not do anything special in the initial days to change that.

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Building Scalable Cloud Services — An Instant Messaging App

February 2, 2018

By Karthik Ranganathan

How To

Building Scalable Cloud Services — An Instant Messaging App

Explore building a chat app with YugabyteDB, a transactional cloud database. This series begins with a scalable Facebook Messages-like application, leveraging YugabyteDB’s capabilities to handle complex chat functionalities efficiently and effectively. Stay tuned for detailed insights and practical examples in our upcoming posts.

Achieving Sub-ms Latencies on Large Datasets in Public Clouds

January 26, 2018

By Kannan Muthukkaruppan

Amazon Web Services Cloud Providers Google Cloud Platform How It Works Microsoft Azure Performance Benchmarks

Achieving Sub-ms Latencies on Large Datasets in Public Clouds

One of our users was interested to learn more about YugabyteDB’s behavior for a random read workload where the data set does not fit in RAM and queries need to read data from disk (i.e. an uncached random read workload).

The intent was to verify if YugabyteDB was designed well to handle this case with the optimal number of IOs to the disk subsystem.

This post is a sneak peak into just one of the aspects of YugabyteDB’s innovative storage engine,

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Scaling YugabyteDB to Millions of Reads and Writes

January 12, 2018

By Bharat Baddepudi

How It Works Performance Benchmarks

Scaling YugabyteDB to Millions of Reads and Writes

Yugabyte’s 50-node cluster benchmark demonstrates linear scalability in YugabyteDB, doubling throughput from 25 to 50 nodes with consistently low latencies. Conducted on Google Cloud Platform, these results highlight YugabyteDB’s cloud-native capabilities, applicable across various cloud and on-premise environments.

Building a Strongly Consistent Cassandra with Better Performance

December 20, 2017

By Robert Pang

ACID Transactions Apache Cassandra How It Works Performance Benchmarks

Building a Strongly Consistent Cassandra with Better Performance

In an earlier blog on database consistency, we had a detailed discussion on the risks and challenges applications face in dealing with eventually consistent NoSQL databases. We also dispelled the myth that eventually consistent DBs perform better than strongly consistent DBs. In this blog, we will look more closely into how YugabyteDB provides strong consistency while outperforming an eventually consistent DB like Apache Cassandra. Note that YugabyteDB retains drop-in compatibility with the Cassandra Query Language (CQL) API.

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YugabyteDB Architecture: Diverse Workloads with Operational Simplicity

November 27, 2017

By Mikhail Bautin

How It Works

YugabyteDB Architecture: Diverse Workloads with Operational Simplicity

This post highlights the architectural considerations that went into the design of the DocDB and YQL layers for the YugabyteDB database.

November 2, 2017

By Karthik Ranganathan

Release Announcements

Yugabyte Has Arrived!

Today, we are launching Yugabyte out of stealth and announcing the availability of YugabyteDB’s first public beta release.

Facebook’s User Database — Is it SQL or NoSQL?

August 29, 2017

By Karthik Ranganathan

ACID Transactions Databases Distributed SQL Google Spanner

Facebook’s User Database — Is it SQL or NoSQL?

Ever wondered which database Facebook (FB) uses to store the profiles of its 2.3B+ users? Is it SQL or NoSQL? How has FB database architecture evolved over the last 15+ years? As an engineer in FB database infrastructure team from 2007 to 2013, I had a front row seat in witnessing this evolution. There are invaluable lessons to be learned by better understanding the database evolution at the world’s largest social network,

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August 18, 2017

By Karthik Ranganathan

Compare and contrast

NoSQL vs SQL in 2017

Let’s look at the evolution from RDBMSs to NoSQL databases to handle massive data and complex operations.

SQL

Explore Distributed SQL and YugabyteDB in Depth