Timescale employs PostgreSQL contributors to address a problem with PostgreSQL's design that has been present for decades. The issue, known as "transaction ID wraparound," affects all branches and forks of PostgreSQL, leading to failures in databases such as Amazon RDS, Greenplum, Netezza, and Amazon Aurora. This problem arises from the use of a 32-bit integer counter to track transactions, which can lead to issues when the number of concurrent transactions exceeds this limit. To mitigate this issue, Timescale provides solutions such as batching data ingestion, using a general-purpose job scheduler for VACUUM and CLUSTER operations, and providing a user-friendly interface to manage these tasks. While Timescale does not solve transaction ID wraparound failure, it can help prevent it by batching data and automating tasks, making it easier for users to manage their databases and avoid this issue altogether.