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Data engineering

How to Sync Data Between Multiple Applications with Real-Time Precision

Guide to real-time, bi-directional data sync across CRMs, ERPs, and databases to eliminate silos, ensure data consistency, and streamline enterprise operations.

How to Sync Data Between Multiple Applications with Real-Time Precision

In a modern enterprise, operational systems like CRMs, ERPs, and custom databases are specialized and disconnected. This specialization drives efficiency within individual departments but creates a significant technical challenge: data fragmentation. When customer, product, or financial data exists in isolated silos, the result is inconsistency, operational latency, and a significant drain on engineering resources tasked with building and maintaining brittle, custom integration scripts. Outdated or unavailable data can halt business operations, making reliable synchronization a mission-critical requirement.

This article details the technical approach to solving this problem: real-time, bi-directional data synchronization. We will explore the limitations of traditional methods and demonstrate how a purpose-built platform provides a scalable, reliable, and efficient solution for automated data sync between applications.

The Core Problem: Data Inconsistency Across Operational Systems

The fundamental issue is maintaining a single, consistent state of data across multiple systems of record that are independently updated. For example, when a sales team updates a customer’s contract status in Salesforce (CRM) and the finance team updates their billing information in NetSuite (ERP), both systems must reflect the complete, accurate state of the customer account in real time.

Traditional approaches to this problem are inadequate:

These methods fail to meet the demands of modern business operations, which require immediate data availability and consistency across all platforms.

The Solution: True Bi-Directional Synchronization

Bi-directional synchronization, or two-way sync, is a technology that ensures data is kept identical and up-to-date across two or more systems in real time. When a change is made in one application, the sync technology immediately detects and propagates that change to all other connected applications, and vice-versa.

This is fundamentally different from running two separate unidirectional syncs. A true bi-directional sync engine includes critical logic for:

Key Technical Benefits of Bi-Directional Sync

Implementing a robust two-way sync strategy provides significant technical and operational advantages:

Implementation Approaches: Custom Code vs. Purpose-Built Platforms

While the benefits are clear, implementing bi-directional sync is technically complex. There are two primary paths an organization can take.

1. Custom-Coded Integrations

Building sync logic in-house using custom scripts and API calls offers maximum flexibility but comes with substantial drawbacks:

2. Generic iPaaS (Integration Platform as a Service)

Generic iPaaS solutions provide a framework for building integrations but are often not optimized for real-time, bi-directional use cases. They may lack true bi-directional connectors, rely on polling which introduces latency, and require complex configuration to handle conflict resolution.

3. Purpose-Built Sync Platforms

A third, more efficient approach is to use a platform specifically designed for real-time, bi-directional data synchronization. These platforms are engineered to solve the core challenges of keeping operational systems in sync.

A platform purpose-built for real-time, two-way data synchronization between operational systems like CRMs, ERPs, and databases abstracts away the complexity of API management, conflict resolution, and error handling, allowing engineering teams to implement robust syncs efficiently.

The platform provides the technical capabilities required for enterprise-grade synchronization:

Example: Syncing HubSpot and a PostgreSQL Database

Consider a scenario where you need to sync your HubSpot CRM contacts with a PostgreSQL database that powers an internal application. With a purpose-built sync platform, the configuration is declarative and straightforward.

A conceptual configuration might look like this:

# stacksync.yml
version: 1
sync:
 - name: hubspot-postgres-contact-sync
   direction: two-way # Bi-directional sync
   source:
     connector: hubspot
     object: contacts
   destination:
     connector: postgres
     schema: public
     table: contacts
   field_mappings:
     - source: firstname
       destination: first_name
     - source: lastname
       destination: last_name
     - source: email
       destination: email_address
   sync_frequency: real-time # Trigger on every change
   conflict_resolution:
     strategy: source_wins # Define how to handle conflicts

This simple configuration establishes a real-time, bi-directional sync, mapping fields and defining a conflict resolution strategy without writing a single line of API integration code.

Conclusion: Empowering Teams with Consistent Data

Syncing data between multiple applications with real-time precision is no longer a "nice-to-have" but a foundational requirement for operational efficiency and data-driven decision-making. While custom code and generic iPaaS solutions present significant technical and resource challenges, purpose-built bi-directional sync platforms provide a reliable, scalable, and efficient path forward.

By leveraging a dedicated solution, engineering teams can eliminate the burden of maintaining complex integration infrastructure. This empowers them to focus on building value, while ensuring that the entire organization operates on consistent, accurate, and real-time data across all its critical applications.