You can outgrow vanilla Postgres without abandoning Postgres
For many data aficionados, Postgres is the way to store and manage relational data. It’s efficient, it’s straightforward, and it The post You can outgrow vanilla Postgres without abandoning Postgres appeared first on The New Stack .
As data enthusiasts adopt Postgres for storing and managing relational data, they may encounter limitations when dealing with high-volume, high-velocity data streams. Slow queries, increased maintenance requirements, and frequent database upkeep can all strain the system. Developers are increasingly adopting Postgres for AI applications due to its flexibility and extensive ecosystem.
However, as agentic workflows generate more database activity and require retaining more data over time, vanilla Postgres may struggle to keep pace. Query performance may deteriorate as tables and indexes grow, necessitating additional maintenance. This is where TimescaleDB comes in. Join us on October 21 for a webinar featuring Matty Stratton, Head of Developer Advocacy and Docs at Tiger Data.
He will demonstrate how TimescaleDB can extend vanilla Postgres and address common pain points as data volume and velocity increase.
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