Thoughts on distributed databases, open source, and cloud native
In this post we are going to walk you through how to download and install the PostgreSQL version of the Chinook sample DB on the YugaByte DB distributed SQL database with a replication factor of 3.
What’s YugaByte DB? It’s a high performance distributed SQL database for global, internet-scale apps. YugaByte DB is a PostgreSQL-compatible database.
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Read MoreEditor’s note: Updated July 7, 2020 with the new DBeaver wizard
If you’re a database developer, you know that you need different SQL statements for creating schemas, ad-hoc querying, initiating backups, or troubleshooting. For these scenarios, finding the right graphical tool can speed up these tasks and make you more productive. Over the years, the PostgreSQL community has developed several open source graphical tools for managing PostgreSQL databases,
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Read MoreSportsDB is a sample dataset compiled from multiple sources, encompassing a variety of sports including football, baseball, ice hockey and more. It also cross-references many different types of content media. It is capable of supporting queries for the most intense of sports data applications, yet is simple enough for use by those with minimal database experience. The database itself is comprised of over 100 tables and just as many sequences,
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Read MorePgExercises is a sample dataset used to power the PostgreSQL Exercises website. The site is comprised of over 80 exercises designed to be used as a companion to the official PostgreSQL documentation. The exercises on the PGExercises site range from simple SELECT statements and WHERE clauses, through JOINs and CASE statements, then on to aggregations, window functions,
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Read MoreThe Northwind database is a sample database that was originally created by Microsoft and used as the basis for their tutorials in a variety of database products for decades. The Northwind database contains the sales data for a fictitious company called “Northwind Traders,” which imports and exports specialty foods from around the world. The Northwind database is an excellent tutorial schema for a small-business ERP,
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Read MoreNote added on October 31, 2019
A lot has happened since this post was published in July 2019. Back then, the current YugabyteDB version was 1.2.10. And now, it’s 2.0.3. My original text included some caveats and comments like “Until this support is added in a future release…”. Now, no caveats are needed. I therefore revised my text and the companion downloadable code to remove all reference to those earlier,
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Read MoreWe are pleased to announce that YugabyteDB 1.2.11 is live! You can read the release notes of this and previous versions here. This release is shipping with stored procedures support, plus 30 new features, enhancements and bug fixes. Here’s a few highlights from the 1.2.11 release.
What’s YSQL? It’s YugabyteDB’s PostgreSQL-compatible, distributed SQL API.
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Read MoreToday’s developers understand that the key requirement to converting and retaining customers is all about delivering fast and responsive experiences, while remaining resilient to failures and compliant with data governance regulations. YugaByte DB is purpose built for geo-distributed applications that require high availability, high performance and regulatory compliance. In this blog, we are going to “look under the hood,” to explore exactly how YugaByte DB distributes data across multiple clouds,
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Read MoreOur previous post dived into the details of the storage layer of YugabyteDB called DocDB, a distributed document store inspired by Google Spanner. This post focuses on Yugabyte SQL (YSQL), a distributed, highly resilient, PostgreSQL-compatible SQL API layer powered by DocDB. A follow-up post will highlight the challenges faced and lessons learned when engineering such a database.
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Read MoreIn this post, we’ll dive into the architecture of the distributed storage layer of YugabyteDB, which is inspired by Google Spanner’s design. Our subsequent post covers the Query Layer, where the storage layer meets PostgreSQL as the SQL API. Finally, here is a follow-up post that highlights the key technical challenges we faced while engineering a distributed SQL database like YugabyteDB.
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