This story was originally published on HackerNoon at:
https://hackernoon.com/why-dynamodb-costs-explode.
Discover how DynamoDB’s pricing quirks—rounding, replication, caching, and global tables—can skyrocket costs, and how ScyllaDB offers predictable pricing.
Check more stories related to cloud at:
https://hackernoon.com/c/cloud.
You can also check exclusive content about
#dynamodb-costs,
#aws-dynamodb-pricing,
#dynamodb-global-tables,
#dynamodb-vs-scylladb,
#dax-caching-cost,
#dynamodb-cost-calculator,
#cloud-database-optimization,
#good-company, and more.
This story was written by:
@scylladb. Learn more about this writer by checking
@scylladb's about page,
and for more stories, please visit
hackernoon.com.
DynamoDB’s per-operation billing model hides costly pitfalls: rounded-up reads/writes, global table replication, DAX caching, and auto-scaling inefficiencies. Real-world cases show costs ballooning into millions due to inefficiencies. ScyllaDB’s predictable pricing and built-in caching help teams cut costs, improve performance, and regain control.