Database design, migration and optimization

At 150 Por Ciento we design, migrate and optimize production databases without stopping the operation. We turn slow, scattered or fragile data into a reliable layer the business can decide and scale on.

With zero-downtime migrations and optimizations measured against a baseline — before and after, with numbers.

Technologies we use

PostgreSQL
MySQL/MariaDB
MongoDB
Redis
SQL Server
AWS RDS/Aurora
Google Cloud SQL
Replication and partitioning

Critical queries up to 10× faster on CervezaAguila.com
Migration of 1.5+ GB with zero downtime on CervezaAguila.com

Starting from USD 2,000

Typical timeline 1–2 weeks

What we solve with databases

Slow queries that degrade the application as data grows
Migrations postponed for fear of losing data or stopping the operation
Duplicated, inconsistent data spread across several systems
Infrastructure costs growing faster than the business
No verified backups, high availability or recovery plan

Your data is already an asset. The question is whether it’s working for you or against you.

What we mean by database optimization

Measured optimization: documented baseline, applied changes, comparison with numbers — not “it feels faster now”
Zero-downtime migration: parallel replication, controlled cutover and a tested rollback plan
Modeling by the case: relational, document or mixed — the data pattern decides, not habit
Backup and security by default: encryption, least-privilege access and rehearsed recovery

A healthy database is invisible: nobody talks about it because it never fails.

What kind of solutions we deliver

Design and modeling of new databases
Migration between engines and to the cloud, without downtime
Performance optimization: indexes, queries and architecture
High availability, replicas and disaster recovery plans
Analytics layer and data warehousing for reporting
Health audit: performance, security, backups and costs

How we do it

1. Audit and baseline

We measure the current state: slow queries, indexes, costs, risks
We prioritize findings by business impact

2. Intervention design

Change plan with windows, risks and rollback
For migrations: replication and cutover strategy

3. Controlled execution

Changes applied in stages and verified
The operation never stops: replicas and controlled cutovers

4. Measurement and handover

Comparison against the baseline, with numbers
Documentation, monitoring and team training

Frequently Asked Questions

Can you migrate a production database without downtime?

Yes. We use parallel replication: the new database syncs with the current one while the operation continues, and the final cutover takes minutes with a tested rollback plan.

How much does it cost to optimize a slow database?

The health audit starts at 2,000 USD and delivers prioritized findings. The optimization itself is quoted based on what we find — sometimes indexes and query tuning are enough; other times, architecture changes.

Which database engine is right for me?

It depends on your data pattern: relational (PostgreSQL, MySQL) for structured data and transactions; document (MongoDB) for variable schemas; Redis as a caching layer. We decide with your real data, not by preference.

Do you work on existing infrastructure or cloud only?

Both. We optimize on-premise, managed (RDS, Cloud SQL) and hybrid databases, and we also run the cloud migration when the numbers justify it.

How do you handle data confidentiality?

With an NDA, minimal auditable access and work in controlled environments. We never move production data outside your infrastructure without express authorization.