YugabyteDB

YugabyteDB Savepoints: Checkpointing Work in Distributed Transactions

YugabyteDB Savepoints: Checkpointing Work in Distributed Transactions

Yugabyte brings best-in-class performance, scalability, and availability to YugabyteDB, a fully PostgreSQL-compatible SQL database. Because YugabyteDB’s architecture uses PostgreSQL at the SQL layer, we get a long-tail of PostgreSQL compatibility for free. But implementing savepoints requires deeper integration into YugabyteDB’s distributed persistence and transaction layers.

In this blog post, we’ll discuss why you should care about savepoints. We’ll also examine how we built savepoints into YugabyteDB’s distributed transaction layer,

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My Yugabyte Journey into Distributed SQL Databases

My Yugabyte Journey into Distributed SQL Databases

This post was written by Nim Wijetunga, a Yugabyte intern during fall 2021. Nim’s currently a software engineering student at the University of Waterloo in Waterloo, Ontario, Canada.

My journey into distributed databases began in early 2021. I was an intern at Snowflake and was part of the core FoundationDB (FDB) team. FDB is an open source distributed key-value store. Snowflake and Apple are currently the largest contributors (and maintainers) of FDB.

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YugabyteDB Migration: What About Those 19 Oracle Features I Thought I Would Miss?

YugabyteDB Migration: What About Those 19 Oracle Features I Thought I Would Miss?

In 2019, I gave a presentation with the title, “19 features you will miss if you leave Oracle.” The talk focused on features used every day with Oracle—and those that may not be available in other databases. However, the goal of this presentation was not to influence any decision or outcome. 

Migrating from a commercial database is not about covering a full set of features. It’s a strategy to stay in control of the software that processes and stores enterprise data.

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Tutorial: How to Deploy Multi-Region YugabyteDB on GKE Using Multi-Cluster Services

Tutorial: How to Deploy Multi-Region YugabyteDB on GKE Using Multi-Cluster Services

The evolution of “build once, run anywhere” containers and Kubernetes—a cloud-agnostic, declarative-driven orchestration API—have made a scalable, self-service platform layer a reality. Even though it is not a one size fits all solution, a majority of business and technical challenges are being addressed. Kubernetes as the common denominator gives scalability, resiliency, and agility to internet-scale applications on various clouds in a predictable, consistent manner. But what good is application layer scalability if the data is still confined to a single vertically scalable server that can’t exceed a predefined limit?

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Tutorial: Getting Started with YugabyteDB and Docker

Tutorial: Getting Started with YugabyteDB and Docker

When developing modern applications, it is important to maintain dev/prod parity (that is, keep development, staging, and production as similar as possible). This should also extend to the local development environment.  However, containerization makes it easy to achieve consistency across all environments, even with more complicated components such as databases.

YugabyteDB is a cloud-native, distributed SQL database that is also PostgreSQL compatible. This interoperability makes it possible for developers to leverage existing tools,

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Multi-Cloud Distributed SQL: Avoiding Region Failure with YugabyteDB

Multi-Cloud Distributed SQL: Avoiding Region Failure with YugabyteDB

As Amazon CTO Werner Vogels often reminds us: ”Everything fails, all the time”. This means any component of the infrastructure will fail at some point. However, with more and more software being deployed in the cloud, today’s infrastructure must provide redundancy. In addition, the applications that sit on top of it must provide continuity over failures.

This involves database replication when the failure concerns data in motion. But there are different levels of failures and different protection technologies.

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How to Build Applications with YugabyteDB and Apache Spark

How to Build Applications with YugabyteDB and Apache Spark

At Distributed SQL Summit 2021, we presented a workshop on how to build an application using the YugabyteDB Spark Connector and YugabyteDB to deliver business outcomes for our customers.

The YugabyteDB Spark Connector brings together the best of breed technologies Apache Spark — an industry-leading, distributed computing engine — with YugabyteDB, a modern, cloud-native distributed SQL database. This connector allows customers to seamlessly and natively read from, perform complex ETL,

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Distributed SQL Tips and Tricks – July 9th, 2021

Distributed SQL Tips and Tricks – July 9th, 2021

Welcome back to our bi-weekly tips and tricks blog where I have the pleasure of recapping some distributed SQL questions from around the Internet. This blog series would not be possible without all of the behind the scenes and community work done by YugabyteDB members such as Dorian Hoxha and Frits Hoogland. All of us here at Yugabyte also have to thank our incredible user community for their work with the technology,

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Distributed SQL Tips and Tricks – June 10th, 2021

Distributed SQL Tips and Tricks – June 10th, 2021

Welcome back to our bi-weekly tips and tricks blog where we recap some distributed SQL questions from around the Internet. We’ll also review upcoming events, new documentation, and blogs that have been published recently. Got questions? Make sure to ask them on our YugabyteDB Slack channel, Forum, GitHub, or Stack Overflow. Let’s dive in:

Connection Pooling with YugabyteDB

When looking to pool your connections with YugabyteDB many users take a look at PgBouncer,

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