Carlota Soto

Nov 29, 2023 | timescale.com | MUHAMMAD IQBAL |Carlota Soto

Database compression is a critical technique in the world of data management—and an infamous gap in the PostgreSQL toolkit. Even if TOAST (The Oversized-Attribute Storage Technique) plays a pivotal role in PostgreSQL when it comes to efficiently storing large data values, it is not functional nor efficient enough to serve as a modern database compression mechanism.

Nov 13, 2023 | timescale.com | Yannis Roussos |Carlota Soto |Ana Tavares

Products like Amazon RDS for PostgreSQL are fine for smaller deployments, but scaling PostgreSQL is a different story. Once the project grows to many terabytes, these managed databases get slow and expensive, making data management much more complex. Performance suffers once tables reach billions of rows, and while there are ways to improve it, the data will carry on growing. Without proper data management, developers can only watch their disks (and bills) increase in size.  But not anymore.

Nov 7, 2023 | timescale.com | Carlota Soto

Database pricing models are hard. As a developer looking for a managed database, one of the most annoying (and yet crucial) aspects of the search process involves evaluating not only the upfront price of the solution for your database size but also how the pricing works and how well it will scale.

Oct 24, 2023 | timescale.com | Carlota Soto

When we ask our community about the elementary challenges they face with their PostgreSQL production databases, we often hear about three pain points: query speed, optimizing large tables, and managing database backups. To help you handle the first two, we’ve written about how to improve your PostgreSQL performance through partitioning and fine-tuning your database, and we’ve also discussed tactics on how to reduce your database size to better manage large tables.

Oct 10, 2023 | timescale.com | Carlota Soto

If you’re working with growing PostgreSQL tables, you're likely no stranger to the challenges of managing large datasets efficiently: Your query performance is degrading. You’re dealing with maintenance overhead. You’re finding it hard to keep up with high ingestion rates. You’re having trouble managing your data lifecycle. Postgres partitioning is your most powerful ally in solving these problems. By partitioning your large PostgreSQL tables, you can keep them fast and efficient.