Real-time database replication

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Database replication enables organizations to maintain multiple copies of databases across different locations or systems. This architecture section explores common replication patterns and their technical implementations.

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Stacksync does not sync only business systems with databases. Syncs are entirely generic, sync work for any combinations of systems. For instance, one can sync

• Salesforce with Postgres
• Postgres and Postgres
• Postgres with Snowflake
• and even Salesforce with Salesforce.

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The use case of database replication is very common in large enterprises. Whether the database is multi-cloud or not, there are no silos for database replication.

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Use cases:

1. Real-time production database replication to data warehouse for data analytics (one-way sync)
2. OracleDB to Snowflake data replication
3. Replication of a production database to another cloud to power multi-cloud products
4. One-way sync for read-only replica
5. Two-way sync for read-write replicas
6. Real-time database backups for compliance and safe data restore
7. Change Data Capture (CDC) on any database.

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Traditional Change Data Capture (CDC) implementations have historically presented significant operational challenges. Tools like Debezium, while powerful, require extensive infrastructure modification and specialist expertise. These solutions typically demand months of implementation work, requiring dedicated DevOps teams for deployment and maintenance. The complexity extends beyond initial setup – they necessitate robust infrastructure including message queues, monitoring systems, and failover mechanisms to maintain enterprise-grade service levels. A particular pain point lies in their error handling: when events are processed through Kafka queues, missed events can lead to silent failures, potentially causing undetected data corruption without clear remediation paths. Furthermore, these traditional CDC tools often require database-level modifications, limiting their applicability across different database vendors and creating additional security and compliance concerns.

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Modern data replication platforms like Stacksync represent a paradigm shift in how organizations approach database synchronization. By abstracting away the complex infrastructure traditionally required for enterprise-grade CDC, these solutions eliminate the need for database extensions, companion servers, or message queue systems. This non-invasive approach is particularly valuable in enterprise environments where underlying database modifications are strictly controlled or prohibited by vendor policies. The platform handles all aspects of change detection, event processing, and error recovery without requiring direct database alterations, making it genuinely vendor-agnostic. This architectural approach not only simplifies implementation – reducing deployment time from months to hours – but also democratizes access to robust data replication capabilities across organizations, regardless of their technical expertise level. The system maintains complete data integrity through built-in verification and rollback capabilities, ensuring that synchronization issues are immediately detected and addressed rather than leading to silent data corruption.