The Complete Open-Source Database Solution for Modern Businesses
A Powerful, Reliable, and Scalable Database Backbone for Odoo
What We Provide
PostgreSQL is a powerful database engine, but default configurations can limit its true capabilities. At Indusfly Services, we specialize in advanced PostgreSQL optimization — going far beyond basic tuning.
Our services include:
Precision query optimization
Smart indexing strategies
Automated cleanup and maintenance
Partitioning for large datasets
AI-driven enhancements
Real-time performance monitoring
Custom extensions and integrations
Enterprise-grade security & scalability
We deliver fast, secure, and scalable PostgreSQL environments tailored to your exact needs.
Let’s elevate your PostgreSQL performance — and your business.
Query Optimization
- Identify slow queries affecting Odoo’s performance
- Optimize queries using indexing, partitioning, and caching.
- Reduce database load by improving ORM-generated SQL queries.
Logical & Streaming Replication
Use of visual & configuration tools for operational readiness
- Implement Streaming Replication with standby servers to ensure Odoo remains available during database failures, minimizing downtime.
- Use Streaming Replication to distribute read queries across replicas, reducing the load on the primary database and improving Odoo’s performance.
- Configure Logical Replication to sync specific tables between multiple Odoo databases, allowing seamless data sharing without full database duplication.
Custom Extension Creation
- Analyze Odoo’s specific database requirements and determine where a custom PostgreSQL extension can enhance performance, automation, or functionality.
- Create custom data types, functions, and operators tailored for Odoo’s needs, improving query performance and extending database capabilities beyond default PostgreSQL features.
Postgres Performance Tuning
- Analyze Database Bottlenecks
- Increase database performance by tuning configuration parameters
- Enhance Indexing & Query Execution
- Provide a Performance Improvement Report
Database Restructuring
- Review Odoo’s database structure to detect redundant tables, unused columns, and inefficient relationships that impact performance.
- Apply normalization to eliminate data redundancy or denormalization for faster queries, depending on the business needs.
- Reorganize large tables using partitioning, remove unused indexes, and create efficient indexing strategies to speed up queries.
Database Recovery
- Identify Data Loss & Root Cause - analyze PostgreSQL logs, replication status, and corruption patterns to determine the reason for data loss or failure in the Odoo database.
- Restore Data from Backups & WAL Archives - recover the database using Point-in-Time Recovery (PITR), pg_basebackup, or WAL (Write-Ahead Logging) archives to restore lost transactions.
- Repair & Rebuild Corrupted Tables - fix table corruption using pg_dump, pg_repack, or pg_checksums, ensuring data integrity without affecting Odoo’s operations.
- Provide a Recovery Plan & Future Prevention Strategy - Deliver a detailed recovery report, set up automated backups
Security Hardening
- Implement Role-Based Access Control (RBAC) Define least privilege access using PostgreSQL roles and permissions, ensuring users and Odoo services only have access to necessary data.
- Enable Data Encryption & Secure Connections Use SSL/TLS encryption for secure database connections and enable pgcrypto for encrypting sensitive data like passwords and financial records.
- Protect Against SQL Injection & Unauthorized Access Enforce parameterized queries in Odoo ORM, enable Row-Level Security (RLS), and set up firewall rules to prevent unauthorized access.
- Monitor & Audit Database Activity Set up pgaudit to log and track database changes, detect suspicious activity, and generate security reports for compliance and threat mitigation.
Postgresql Training
- Beginner to Advanced PostgreSQL Concepts Teach database fundamentals, SQL queries, indexing, and optimization techniques tailored for Odoo and general PostgreSQL use cases.
- Hands-on Performance Tuning & Query Optimization Provide practical training on EXPLAIN ANALYZE, indexing strategies, partitioning, and configuration tuning for real-world database performance improvements.
- Replication, Backup & Disaster Recovery Training Guide teams in setting up Streaming & Logical Replication, Point-in-Time Recovery (PITR), and implementing high-availability solutions.
- Security, Monitoring & Maintenance Best Practices Train teams on role-based access control (RBAC), pgaudit, SSL/TLS security, autovacuum tuning, and real-time database monitoring tools like pg_stat_statements & pgBadger.
Consulting
- Database Performance Assessment & Optimization Analyze slow queries, indexing strategies, and server configurations to improve PostgreSQL performance for Odoo and other applications.
- High Availability & Replication Strategy Design and implement Streaming & Logical Replication, Failover Solutions, and Load Balancing to ensure database reliability and scalability.
- Security & Compliance Audits Assess role-based access control (RBAC), encryption, firewall rules, and audit logging to enhance database security and meet compliance requirements.
- Migration & Scalability Planning Help businesses migrate databases from MySQL, Oracle, or older PostgreSQL versions, and optimize their setup for multi-tenant, high-traffic applications.
Large Dataset Handling & Partitioning for Odoo
- Analyze & Identify Large Tables Causing Performance Issues Review Odoo’s database schema to find large tables and optimize them for faster query execution.
- Implement Table Partitioning for Faster Data Access Use Range, List, or Hash Partitioning to split large tables based on date, company, or region, reducing query response time and improving scalability.
- Optimize Indexing & Query Execution for Partitioned Tables Ensure indexes are correctly applied to partitions, rewrite ORM queries to leverage partitioned data, and optimize database joins.
- Provide a Scalable Data Management Plan Deliver a structured partitioning strategy, automate old data archiving, and ensure Odoo performance remains optimal as data grows.
Custom Database Indexing for Faster Odoo Performance
- Analyze Query Patterns & Identify Missing Indexes Review Odoo’s slow queries, ORM-generated SQL, and frequently accessed tables to determine where indexing can improve performance.
- Implement Optimized Indexing Strategies Use B-Tree indexes for fast lookups, GIN indexes for full-text search, BRIN indexes for large tables, and partial indexes to reduce overhead.
- Enhance Query Execution with Covering Indexes Optimize SELECT queries by creating covering indexes that store all required columns, reducing disk I/O and speeding up data retrieval.
- Monitor & Maintain Index Efficiency Regularly analyze index usage with pg_stat_user_indexes, remove duplicate or unused indexes, and fine-tune indexing strategies for long-term Odoo performance optimization.
Automated Data Archiving & Cleanup for Odoo
- Identify Old & Inactive Data Slowing Down Odoo Analyze large tables and detect old or unused records that impact performance.
- Implement Automated Archiving Strategies Use Partitioning, Materialized Views, or Archive Tables to move old data to a separate storage while keeping Odoo functional.
- Schedule Automatic Cleanup & Maintenance Tasks Set up cron jobs or PostgreSQL event triggers to periodically delete, compress, or archive outdated records without affecting active operations.
- Optimize Storage & Improve Query Performance Reduce database bloat, free up storage space, and enhance Odoo’s response time by ensuring only relevant data is actively queried.
PostgreSQL-Based Search Optimization for Odoo
- Enhance Full-Text Search with GIN & Trigram Indexing Improve Odoo search speed using GIN indexes for tsvector full-text search and pg_trgm for fuzzy matching in customer and product searches.
- Optimize Query Execution for Large Datasets Use partial and covering indexes to accelerate searches on frequently queried fields
- Implement Case-Insensitive & Fuzzy Search Leverage ILIKE, pg_trgm, and word similarity to enable typo-tolerant and case-insensitive searches for better user experience
- Reduce ORM Overhead & Speed Up Search Queries Rewrite slow Odoo ORM queries to use optimized SQL search techniques, reducing database load and improving response times.
PostgreSQL Custom Stored Procedures & Functions for Odoo
- Automate Complex Business Logic at the Database Level Develop PL/pgSQL stored procedures to handle bulk operations, financial calculations, and data transformations, reducing Odoo server load.
- Optimize Performance by Reducing ORM Query Overhead Use custom SQL functions to execute repetitive queries efficiently, minimizing Odoo’s Python processing time and improving speed.
- Enhance Data Integrity with Triggers & Validations Create before/after triggers that enforce business rules, auto-generate records, or log changes, ensuring data consistency across Odoo modules.
- Provide Reusable Database Functions for Custom Reporting & Analytics Build parameterized SQL functions that generate real-time reports, aggregate large datasets, and integrate seamlessly with Odoo’s reporting tools.
Real-Time Database Monitoring & Alerting for Odoo
- Track Query Performance & Identify Bottlenecks Monitor slow queries, deadlocks, and high CPU usage.
- Set Up Automated Alerts for Critical Events Configure Prometheus + Grafana or pgwatch2 to trigger alerts for high replication lag, disk space issues, and slow transactions in Odoo’s PostgreSQL database.
- Monitor Database Health & Connection Pooling Use PgBouncer to track active Odoo connections, prevent overloading, and optimize session handling for better performance.
- Generate Performance Reports & Optimization Insights Provide custom dashboards and automated reports to help businesses proactively optimize database performance and prevent downtime.
Providing Customized PostgreSQL Source Code
- Modify PostgreSQL internals (e.g., tablecmds.c, heapam.c) to enhance performance or add new features.
- Customize query execution plans to optimize large dataset retrieval.
- Implement changes in the storage layer for faster I/O operations.
- Optimize how PostgreSQL handles large text retrieval (important for Odoo)
- Create a PostgreSQL version tailored for specific ERP needs like Odoo.
Retrieval of Dead Rows
- Extract deleted rows from PostgreSQL MVCC (Multi-Version Concurrency Control) system.
- Restore dead tuples from the visibility map before VACUUM purges them permanently.
- Implement a custom function to access dead tuples stored in the heap before PostgreSQL reuses them.
- Alternative approach: Store deleted rows in a separate archive table before deletion.
AI Integration in PostgreSQL
- Load AI models directly into PostgreSQL
- Implement PL/Python functions to enable AI-driven query responses.
- Generate SQL queries, summarize text, and optimize performance with AI.
- Use Llama.cpp for lightweight inference within the database.
- Enable AI-powered chatbots and NLP features directly inside PostgreSQL.
- Use Case: Ideal for AI-driven analytics, smart query assistants, and automated reporting inside PostgreSQL.
Database Health Analysis for Odoo
Perform a comprehensive health check on PostgreSQL to ensure Odoo runs smoothly.
- Use PostgreSQL monitoring tools (pgBadger, pg_stat_statements).
- Identify and fix bloat, query inefficiencies, and locks.
- Tune PostgreSQL settings based on workload analysis.
Query Parallelism Optimization:
Analyze and Enable Parallel Queries
- Identify queries within Odoo that would benefit from parallel execution (e.g., large reports, aggregations).
- Configure PostgreSQL's max_worker_processes, max_parallel_workers_per_gather, and related settings to enable and optimize parallel query execution.
- Generate SQL queries, summarize text, and optimize performance with AI.
- Use Llama.cpp for lightweight inference within the database.
- Enable AI-powered chatbots and NLP features directly inside PostgreSQL.
- Use Case: Ideal for AI-driven analytics, smart query assistants, and automated reporting inside PostgreSQL.
Connection Pooling Optimization & Management (Beyond Basic Setup):
- Fine-tune PgBouncer's settings (e.g., server_idle_timeout, query_wait_timeout, max_client_conn) to optimize how connections are reused and how queries are queued, minimizing latency for Odoo users.
- Instead of just setting up PgBouncer, offer a service to dynamically adjust connection pool sizes based on Odoo's real-time load and predicted usage patterns
GIS Data Handling with PostGIS:
If the Odoo instance uses geographical data, offer expertise in PostGIS:
- Store and Query Geospatial Data Efficiently
- Optimize Location-Based Searches
Guide & Support
Documentation
Guides, tutorials, and API references for PostgreSQL in Odoo.
View Documentation
Professional Support
Enterprise-grade assistance from certified PostgreSQL experts.
Get support
Ready to optimize your Odoo database?
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