Database design, performance tuning, and pgvector for AI-powered applications.
Fremen Consulting provides PostgreSQL consulting — schema design, query optimization, pgvector for embedding storage, replication and HA setup, migration from MySQL or Oracle, and RDS or Cloud SQL management.
Problems we solve for businesses like yours
Missing indexes, N+1 query patterns, and unanalyzed tables cause response times to degrade as data grows — often discovered only after user complaints.
Poor normalization, missing constraints, and JSON blob anti-patterns make data integrity unreliable and migrations risky as the product evolves.
Single-instance PostgreSQL without replication or automated failover means any hardware failure becomes extended downtime.
Solutions tailored to your industry and growth goals
Normalized schema design, migration scripts with Alembic or Flyway, zero-downtime migration strategy, and data integrity constraints.
EXPLAIN ANALYZE query optimization, index strategy, connection pooling with PgBouncer, and partition design for large tables.
pgvector extension for embedding storage and similarity search, read replicas, and RDS Multi-AZ or Patroni HA configuration.
Technologies and platforms we work with in this space
Measurable outcomes from projects in this space
Index strategy and query refactoring reduced p95 API response time from 800ms to 80ms for a high-traffic SaaS application.
Clear answers to common questions in this industry
We provide schema design, query performance tuning, pgvector setup for AI applications, replication and HA configuration, migration from other databases, and RDS management.
pgvector suits moderate-scale embedding search when you already use PostgreSQL and want to avoid a separate vector database. For high-volume or low-latency search at scale, dedicated vector DBs like Pinecone may perform better.
Yes. We plan schema mapping, data migration scripts, application query updates, and cutover strategy with rollback capability for database platform migrations.
We use EXPLAIN ANALYZE, identify missing indexes, rewrite inefficient joins and subqueries, implement connection pooling, and configure appropriate memory settings for your workload.
Performance audit and tuning takes two to four weeks. Schema redesign or migration projects typically take four to twelve weeks depending on complexity.
Tell us about your business and goals. We will recommend the right approach for your industry, timeline, and budget.