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A Conceptual Model for Storage Unification

Factor 2: Weighing the pros and cons If we want to provide the data in lakehouse format so Spark jobs can slice and dice the data, then either shared tiering or materialization is an option. Shared tiering might be preferable if reducing storage cost (by avoiding data duplication) is the primary concern. However, other factors are also at play, as explained earlier in 1. The challenges of shared tiering. Materialization might be preferable if: The primary and secondary systems have completel

We made Postgres writes faster, but it broke replication

We Made Postgres Writes Faster, but it Broke Replication +2 By Stu Hood, Ming Ying, Mathew Pregasen, and Olive Ratliff on June 30, 2025 When we built pg_search , the Postgres extension for search and analytics, write throughput was a priority. To be an effective alternative to Elasticsearch we needed to support high ingest workloads in real time. This is because many Elasticsearch use cases — like real-time dashboards, e-commerce search, and recommendation systems — involve continuous writes t