See how Gold Lapel compares to other PostgreSQL tools.
Most teams add Redis to cache Postgres queries. Gold Lapel does that automatically — faster, with zero infrastructure.
Thirteen search methods, zero additional infrastructure. Full-text, fuzzy, vector, facets, percolator — all from PostgreSQL. GL beats ES on 11/11 cacheable methods.
Pooling connections is not the same as optimizing queries. One manages how you connect. The other manages what happens after.
Two proxies, rather different philosophies. One caches results in memory. The other optimizes how the database produces them.
Monitoring is lovely, but who fixes the queries? A comparison of observation vs automation.
A frank discussion about your budget. One costs $150-300 per hour. The other costs $60-350 per month. Both have their place.
Pinecone, Weaviate, Qdrant, Milvus, Chroma, and pgvector. When you need a dedicated vector database, and when PostgreSQL is enough.
One lives in your database. The other is a managed service. HNSW performance, cost, and operational trade-offs.
PgBouncer, Pgpool-II, PgCat, and Odyssey. Features, performance, and where each excels.
Architecture comparison of Neon, Supabase, and PlanetScale for serverless PostgreSQL workloads.
pganalyze, Datadog, pgwatch2, pg_stat_monitor, and Tembo. What they do well, and the gap they share.
A fair comparison of the two query monitoring extensions — features, overhead, availability, and which earns its place.