The JusDB Database Engineering Blog

A detailed comparison of Google Cloud SQL, Amazon RDS, and Azure Database for MySQL and PostgreSQL — HA architecture, failover times, connection pooling, pricing for equivalent instances, and platform-specific features.

Compare Snowflake, ClickHouse, and BigQuery on performance, cost, ecosystem, and real-world use cases

Use Neon for serverless PostgreSQL — database branching for dev/test, autoscaling, and cost model

Compare CockroachDB, Google Spanner, and YugabyteDB — consistency models, PostgreSQL compatibility, and operational costs

AWS RDS, Aurora, and Aurora Serverless v2 all run MySQL and PostgreSQL — but their pricing models differ dramatically. Learn when to use each and how to avoid expensive I/O surprises.

Understand Google Spanner's architecture — TrueTime, interleaved tables, schema design, and cost model

Evaluate Google AlloyDB — columnar engine, read pool nodes, ML integration, and comparison with Aurora PostgreSQL

A production guide to Amazon Aurora PostgreSQL — the shared storage architecture, fast failover mechanics, Aurora Serverless v2 ACU scaling, Global Database, Parallel Query, and an honest comparison against standard RDS.

Use Azure Cosmos DB for globally distributed workloads — consistency levels, partitioning, and API choices

Choose between ElastiCache Redis and Memcached — data structures, persistence, replication, and cost considerations

Evaluate PlanetScale for MySQL workloads — Vitess-based branching, non-blocking schema changes, and pricing

Save 15-25% on AWS storage costs migrating from gp2 to gp3. Complete cost analysis at 64TB scale with performance benchmarks and migration strategies.