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PostgreSQL is the open-source relational database behind many custom applications, internal tools and analytics stores, on premises or as a managed service such as Amazon RDS, Aurora, Azure Database or Cloud SQL. Companies integrate PostgreSQL to keep application data aligned with ERP and CRM systems, replicate changes into warehouses, and expose operational data to reporting and AI tools. AIONDATA builds on logical replication and change data capture (Debezium), foreign data wrappers, and application-level sync services.
We build a sync service that reads changes from Postgres using logical replication or timestamp-based polling, maps them to the ERP or CRM API, and writes inbound changes back with conflict rules. This avoids fragile direct database writes from external tools and keeps a full audit of what changed and why.
Yes. We use PostgreSQL logical decoding with Debezium or native connectors to capture inserts, updates and deletes and deliver them to Kafka, a warehouse or another database. This is the preferred approach for high-volume tables where polling would be slow or expensive.
Yes. AIONDATA can expose PostgreSQL to AI agents through a custom MCP server that offers schema discovery and parameterized, read-only or approved-write query tools. Connections use dedicated roles with row-level security so an agent can never exceed the permissions you grant.
Self-hosted PostgreSQL, Amazon RDS and Aurora PostgreSQL, Azure Database for PostgreSQL, Google Cloud SQL and Supabase are all common. Managed services vary in replication and extension support, so we confirm those capabilities before finalizing the integration design.
Tell us the other system and what needs to flow between them. You'll get an honest scope and timeline.