The hottest Migration Substack posts right now

And their main takeaways

In MSSQL to PostgreSQL migrations, challenges like query slowdowns may arise, with some queries taking significantly longer to execute in PostgreSQL compared to MSSQL.
Join algorithm selection and parallelism are two key advantages contributing to MSSQL's impressive query execution speed.
Multi-clause selectivity estimation in MSSQL allows for more precise cardinality estimation in complex join queries, giving it an edge over PostgreSQL in certain scenarios.

Data migrations in software engineering can be incredibly challenging due to the complexity and inconsistency of data.
Routine database backups are crucial for quickly restoring data and avoiding catastrophic losses.
Utilizing blockchain technology for building databases can provide benefits like easy recreation of data structures and decentralized app development.

Migrating from one database system to another, like from PostgreSQL to MongoDB, might not solve performance issues and could be costly and slow. It's often better to analyze if the migration will really help before proceeding.
Understanding how databases work is crucial. Different databases use memory and disk in similar ways, so just switching systems might not lead to significant improvements.
There are effective ways to boost database performance without major migrations. Improving cache, using faster disks, and optimizing indexing strategies can help both PostgreSQL and MongoDB perform better.