YugabyteDB’s automatic sharding overcomes PostgreSQL’s partition key limitations by allowing date range queries without modifying table partitioning. Thanks to its global secondary indexes, which don’t require a shared sharding key, YugabyteDB enhances performance by distributing rows across multiple servers. Discover the full advantages and see step-by-step instructions in our latest blog post.
Managing large PostgreSQL tables requires partitioning, which can complicate queries. Migrating to YugabyteDB simplifies scaling by automatically sharding and distributing data and minimizing partition reliance. The article includes demos on PostgreSQL’s partitioning limitations and YugabyteDB’s advantages in distributed tables and scalability.
PostgreSQL offers robust features but has certain limitations in scalability, replication, resilience (and more). YugabyteDB addresses these issues through distributed design, storage efficiency, and transaction handling, providing a comprehensive solution when high availability, ACID, and scale are mandatory.
Discover common Oracle connection errors and learn how to troubleshoot them effectively. Whether you’re migrating to YugabyteDB or facing general connection issues, this guide will help you identify and resolve the errors.
Discover how to identify CPU, RAM, or I/O pressure in your database by utilizing Linux metrics and the Pressure Stall Information (PSI) metric. This blog post also demonstrates how to query Linux information using PostgreSQL and the file_fdw extension, offering valuable insights for DBAs and developers.
Let’s walk through some examples to see the importance of the conditional WHERE clause in PostgreSQL, especially when dealing with data that requires extensive filtering.
Discover efficient methods to partition data in your queries. Explore techniques like GROUP BY, window functions, recursive CTE queries, and the DISTINCT ON clause to optimize performance and scalability
Understanding the PostgreSQL version you’re using is crucial for feature availability and informed decision-making, especially with cloud-managed services. Continue reading to learn how to check your PostgreSQL version.
Discover how the LIKE operator enables pattern matching with wildcards and indexing for specific access patterns, focusing on scenarios where the wildcard is at the beginning or end of the pattern. The examples and demonstrations are performed on YugabyteDB, a PostgreSQL-compatible database with variations in storage implementation.
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.