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Data synchronization projects have a reputation for turning calm planning meetings into standoffs.

The DBA insists the source database is off-limits. The project manager points to a fixed go-live date. Ops flags that the last full sync took seven hours and maxed out the CPU. Leadership calls for calm and pushes the launch to Monday.

For one technology team, this cycle repeated for months. The root cause wasn’t poor teamwork. It was three specific, recurring failures in how data was being synced.

Sync Nightmares Every Team Has Faced

  1. Legacy systems that won’t let go. Migrations stall when the old system can’t shut down and the new one can’t wait. Sync scripts run overnight, but business operations continue during the day—so the next morning, the new system is still showing yesterday’s data.
  2. Out-of-sync data breaks reporting. Two regional teams pull conflicting numbers for the same week because their reports were generated six hours apart, off different data snapshots. Neither team is wrong. The data just isn’t in sync.
  3. Heterogeneous databases create bottlenecks. A single big data project might span Oracle, MySQL, MongoDB, Redis, and Kafka. Keeping all of them in sync becomes a tangle that few engineers want to own.

A New Approach: Log-Based CDC

These problems share a common cause: the sync method itself. There are three mainstream approaches to change data capture (CDC):

CDC method How it works Drawback
Query-based Polls the database at set intervals High load, poor performance
Trigger-based Adds triggers to capture changes Interferes with the source system
Log-based Reads logs the database already writes Relies on database binary log support; log format differences across databases

Log-based CDC solves the core problem: it captures changes without touching or slowing down the source system.

Meet i2Stream

i2Stream is built on log-based CDC, and it maps directly onto the three pain points above.

  • Real-time sync, millisecond latency. Changes are captured and synced with near-zero delay, closing the reporting gaps caused by lag.
  • Non-intrusive at the source. No changes to the source database structure, and no interruption to business operations.
  • Built for heterogeneous environments. i2Stream syncs across combinations like MySQL to Kafka, Oracle to PostgreSQL, and SQL Server to Dameng, with compatibility validated across a wide range of enterprise database platforms.
  • Breakpoint resume and visual monitoring. Disconnections, network issues, and target database failures don’t cause data loss or duplication. A visual console tracks the entire sync process in real time.

In one pilot project—a dual-site, bidirectional data sync—the estimated two-week timeline dropped to two days.

Recognized Across Industries

i2Stream has also supported award-winning projects in healthcare and utilities:

  • A hospital system integration project built on i2Stream won Best Original Award in the finals of a national smart healthcare innovation competition.
  • A self-developed hospital information system migration project powered by i2Stream earned a top practice award in an industry technology competition, where i2Stream also received a gold product award in the migration tools category.

The Takeaway

Data synchronization looks like a small task, but it underpins everything downstream: reporting accuracy, migration timelines, system reliability. Get it wrong, and every team built on top of that data inherits the problem.

With the right CDC approach in place, sync stops being the bottleneck—and becomes just another solved problem.

About Info2soft
Info2soft, short for Information2 Software, is the leader in data security field. Its solutions are widely adopted for data protection, disaster recovery, database replication, and so on, earning strong recognition from users worldwide. And Info2soft has been ranked the No.1 vendor in China’s Data Replication and Protection Software Market by IDC for many years.
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