Optimize slow queries, design scalable schemas, and migrate databases with zero downtime. Our Bengaluru team handles PostgreSQL performance tuning, pgvector for AI workloads, replication architecture, and migrations from MySQL, MongoDB, or legacy systems.
Proof-First Delivery
What We Offer
Each module is designed as a production block with integration boundaries, governance hooks, and measurable outcomes.
PostgreSQL Performance Tuning Identify and fix slow queries with EXPLAIN ANALYZE, optimize index strategies (B-tree, GIN, GiST, BRIN), tune postgresql.conf for your workload profile, and implement connection pooling with PgBouncer. We've cut query times from seconds to milliseconds for production databases handling millions of rows. Schema Design & Data Modeling Design normalized schemas that balance read performance with write efficiency. We handle partitioning strategies for large tables, JSONB column design for semi-structured data, proper constraint definitions, and migration-friendly schema evolution using tools like Prisma, Drizzle, or raw SQL migrations. pgvector for AI & Semantic Search Set up pgvector for vector similarity search directly in PostgreSQL — no separate vector database needed. We configure HNSW indexes, optimize search parameters, implement hybrid search (vector + full-text), and integrate with embedding APIs from OpenAI, Gemini, and Cohere. Replication & High Availability Set up streaming replication, logical replication, and automatic failover with Patroni or pg_auto_failover. We architect for 99.99% uptime with read replicas, connection routing, and disaster recovery across availability zones. Database Migration Migrate from MySQL, MongoDB, SQL Server, or Oracle to PostgreSQL with zero or minimal downtime. We handle schema translation, data type mapping, stored procedure conversion, and application query compatibility testing. Monitoring & Alerting Set up comprehensive database monitoring with pg_stat_statements, pganalyze, or custom Grafana dashboards. We configure alerts for slow queries, connection saturation, replication lag, disk space, and lock contention — catching issues before they impact users.
Deep PostgreSQL Expertise We go beyond ORM-level knowledge. Our team understands PostgreSQL internals — WAL mechanics, vacuum tuning, planner behavior, and extension development. This depth matters when you're debugging production performance issues at scale. AI + Database Integration We uniquely combine PostgreSQL expertise with AI engineering. pgvector, semantic search, embedding pipelines, and RAG systems — we build the database layer that powers your AI features, not just traditional CRUD. Bengaluru Database Team Local collaboration for production database issues that can't wait. Same-timezone support for critical incidents, migration planning, and ongoing optimization.
Slow Query Rescue Your app is slow and the database is the bottleneck. We audit your top-50 slowest queries, optimize indexes, rewrite inefficient joins, and implement caching strategies — typically achieving 10-100x improvements for the worst offenders. Scale Preparation Prepare your database for 10x growth — table partitioning, read replica setup, connection pooling, query optimization, and archival strategies. We load-test at target scale and fix bottlenecks before your users hit them. Vector Search for AI Products Add semantic search and RAG capabilities to your existing PostgreSQL database using pgvector. No need for a separate vector database — keep your operational and AI data in one place with proper HNSW indexing and hybrid search.
Delivery Proof
Selected engagements that show architecture depth, execution quality, and measurable business impact.
Delivery Advantages
PostgreSQL Performance Tuning Identify and fix slow queries with EXPLAIN ANALYZE, optimize index strategies (B-tree, GIN, GiST, BRIN), tune postgresql.conf for your workload profile, and implement connection pooling with PgBouncer. We've cut query times from seconds to milliseconds for production databases handling millions of rows. Schema Design & Data Modeling Design normalized schemas that balance read performance with write efficiency. We handle partitioning strategies for large tables, JSONB column design for semi-structured data, proper constraint definitions, and migration-friendly schema evolution using tools like Prisma, Drizzle, or raw SQL migrations. pgvector for AI & Semantic Search Set up pgvector for vector similarity search directly in PostgreSQL — no separate vector database needed. We configure HNSW indexes, optimize search parameters, implement hybrid search (vector + full-text), and integrate with embedding APIs from OpenAI, Gemini, and Cohere. Replication & High Availability Set up streaming replication, logical replication, and automatic failover with Patroni or pg_auto_failover. We architect for 99.99% uptime with read replicas, connection routing, and disaster recovery across availability zones. Database Migration Migrate from MySQL, MongoDB, SQL Server, or Oracle to PostgreSQL with zero or minimal downtime. We handle schema translation, data type mapping, stored procedure conversion, and application query compatibility testing. Monitoring & Alerting Set up comprehensive database monitoring with pg_stat_statements, pganalyze, or custom Grafana dashboards. We configure alerts for slow queries, connection saturation, replication lag, disk space, and lock contention — catching issues before they impact users.
Deep PostgreSQL Expertise We go beyond ORM-level knowledge. Our team understands PostgreSQL internals — WAL mechanics, vacuum tuning, planner behavior, and extension development. This depth matters when you're debugging production performance issues at scale. AI + Database Integration We uniquely combine PostgreSQL expertise with AI engineering. pgvector, semantic search, embedding pipelines, and RAG systems — we build the database layer that powers your AI features, not just traditional CRUD. Bengaluru Database Team Local collaboration for production database issues that can't wait. Same-timezone support for critical incidents, migration planning, and ongoing optimization.
Slow Query Rescue Your app is slow and the database is the bottleneck. We audit your top-50 slowest queries, optimize indexes, rewrite inefficient joins, and implement caching strategies — typically achieving 10-100x improvements for the worst offenders. Scale Preparation Prepare your database for 10x growth — table partitioning, read replica setup, connection pooling, query optimization, and archival strategies. We load-test at target scale and fix bottlenecks before your users hit them. Vector Search for AI Products Add semantic search and RAG capabilities to your existing PostgreSQL database using pgvector. No need for a separate vector database — keep your operational and AI data in one place with proper HNSW indexing and hybrid search.
FAQ
Slow queries holding your product back? Talk to our Bengaluru database team about performance optimization.