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Built on PostgreSQL, Tiger Cloud combines robustness and flexibility to tame your most demanding workloads, from real-time analytics and IoT data to events and vector embeddings.
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Apr 29, 2026
Optimization problems stay fixed. Architectural ones come back. A framework for knowing which you're dealing with before you've spent months on the wrong fix.
Apr 24, 2026
Normalized schemas create latency at scale. This guide shows when to flatten your tables and use columnar compression to cut join overhead and reclaim query speed.
Apr 20, 2026
Most search stacks run four systems to answer one question. You don't need any of them. Build production hybrid search in Postgres with pg_textsearch for BM25, pgvectorscale for vector similarity, and Reciprocal Rank Fusion to combine them. One query. One database.
Apr 08, 2026
Migration cost scales with data volume. The optimization tax you pay while waiting scales faster.
Apr 07, 2026
Read replicas fix read contention. They don't fix write throughput. Here's the mechanical reason why, and what actually changes the trajectory.
Apr 01, 2026
Most MongoDB pain isn't a MongoDB problem. It's a workload shape problem that would follow you to Postgres.
Mar 27, 2026
Peak throughput tells you what Postgres can do in a sprint. Production asks what it can do forever. Those are different questions.
Mar 20, 2026
MVCC is great for concurrent workloads. For append-only data, it's 23 bytes of overhead per row that never gets used. Here's what that actually costs.
