When indexing JSON documents in PostgreSQL, you can add indexes for the access patterns just like with relational table columns. We will walk through an example of this using the Pokémon GO Pokédex as a dataset, utilizing YugabyteDB, a distributed SQL database compatible with PostgreSQL.
DBAs often need to generate SQL statements using SQL queries and then execute them. PostgreSQL has many features that can help. Let’s walk through an example using YugabyteDB, which is Postgres-compatible and provides the same SQL language and catalog views.
The Orafce extension for PostgreSQL can be used to quickly and easily generate random strings to fill in a text column. Let’s look at an example on how to use Orafce, on either your PostgreSQL database or on a PostgreSQL-compatible database, like YugabyteDB.
Discover how to best achieve high availability and disaster recovery using two data centers. This blog compares traditional monolithic databases with distributed SQL, and then discusses how it is all possible using YugabyteDB with cross-cluster replication capabilities.
Finding one-to-one mapping of the differences between monolithic and cloud-native databases is difficult.
In this blog, we compare YugabyteDB and Oracle (RAC, Data Guard) via availability objectives.
This should help you understand how Oracle MAA options map to YugabyteDB’s intrinsic features when considering migration projects.
Explore how database sharding works, how to handle corner cases correctly, and how to split tablets to save resources.
YugabyteDB is a 100% open source, distributed SQL database system. This single phrase expresses two distinct notions: a SQL database system, and a distributed database system. Historically, these notions were mutually exclusive. But current technology allows a single system to implement both notions. YugabyteDB does this with its two-layer architecture: an extensible query processing layer and a distributed document store.
In this blog post,
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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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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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A distributed SQL database provides a service where you can query the global database without knowing where the rows are. You connect to any node, without having to know the cluster topology. You query your tables, and the database will determine the best access to your data, whether it’s close to your client or geographically distant.
The organization of data, whether co-located or partitioned, is the most important consideration for high performance,
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