The Ultimate Open-Source Database Solution

Powerful, Reliable, and Scalable Database for Odoo

What We Provide

PostgreSQL is powerful, but default setups can hold back performance. We unlock its full potential with expert optimization. Our specialized PostgreSQL services go beyond basic tuning—query tuning, advanced indexing, automated cleanup, partitioning, AI integration, real-time monitoring, custom extensions, and more. Get a faster, secure, and scalable database tailored to your needs. Let’s elevate your PostgreSQL performance!

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

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.

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Professional Support

Enterprise-grade assistance from certified PostgreSQL experts.

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