There’s a subtle, but critical, difference between the two notions business-unique key and primary key in a relational database. For example, in a “users” table, the “user_id” could be the primary key while the “email_address” (which must be not null and unique) could be the business-unique key. The columns that implement each notion may or may not coincide. This post shows that,
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Welcome to this week’s 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 since the last post. Got questions? Make sure to ask them on our YugabyteDB Slack channel, Forum, GitHub or Stackoverflow. Ok, let’s dive right in:
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Welcome to this week’s 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 since the last post. Got questions? Make sure to ask them on our YugabyteDB Slack channel, Forum, GitHub or Stackoverflow. Ok, let’s dive right in:
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We are pleased to announce that YugabyteDB 2.0.11 is now live! You can read the official release notes of this and previous versions here. These two releases shipped with a combined 30+ new enhancements and fixes.
What’s YugabyteDB? It is an open source, high-performance distributed SQL database built on a scalable and fault-tolerant design inspired by Google Spanner. Yugabyte’s SQL API (YSQL) is PostgreSQL wire compatible.
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In this post, we compare distributed SQL databases against NewSQL databases to better understand their differences and know when you should use either.
Data migration can be a complex and time-consuming task, but proper planning can help streamline the process. In this blog, we’ll demonstrate how to migrate a Sakila demo database from MongoDB to a YugabyteDB cluster using Studio 3T, highlighting the key steps and considerations involved in the process.
A distributed SQL database needs to automatically partition the data in a table and distribute it across nodes. This is known as data sharding and it can be achieved through different strategies, each with its own tradeoffs. In this post, we will examine various data sharding strategies for a distributed SQL database, analyze the tradeoffs, explain the rationale for which of these strategies YugabyteDB supports and what we picked as the default sharding strategy.
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If you’re a database developer, you know the time saving value of being able to visually design, document and query SQL and NoSQL databases from a single UI. DbSchema is a well-rounded, visual database tool that supports over 40 databases from a single interface. Because YugabyteDB is PostgreSQL compatible, getting DBSchema to work with a distributed SQL database is relatively simple.
What’s YugabyteDB? It is an open source, high-performance distributed SQL database built on a scalable and fault-tolerant design inspired by Google Spanner.
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We are pleased to announce that YugabyteDB 2.0.7 is live! You can read the official release notes of this and previous versions here. This release is shipping with almost 30 new enhancements and bug fixes.
What’s YugabyteDB? It is an open source, high-performance distributed SQL database built on a scalable and fault-tolerant design inspired by Google Spanner. Yugabyte’s SQL API (YSQL) is PostgreSQL wire compatible
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YugabyteDB and Kubernetes have very complementary design principles because they both rely on an extensible and flexible API layer, as well as a scale-out architecture for performance and availability. In this blog post we’ll look at best practices and recommendations when choosing Kubernetes as the cluster foundation for a distributed SQL system. This will begin with a review of relevant architectural decisions of the YugabyteDB. Then we’ll walk you through how to handle the provisioning,
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