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In recent years, the adoption of domestic databases in China has largely remained at the “replacement” stage. However, starting from 2025, more enterprises are entering a true production-grade deployment phase.
In key industries such as finance, government, energy, manufacturing, and healthcare, domestic databases are no longer just “alternatives” in test environments—they are now carrying core business systems, transaction workloads, and production data. At the same time, database backup and disaster recovery systems are evolving from auxiliary functions into a core infrastructure for enterprise digital resilience.
Yet when deploying domestic databases, many organizations still focus only on:
While these are important, a more critical question is often overlooked:
How can data security be truly ensured after the database goes live?
This is where many enterprises encounter real production risks.
In the traditional database era, enterprises relied heavily on mature ecosystems such as Oracle RMAN and legacy backup vendors. These solutions were refined over decades in financial-grade scenarios, forming a stable model of backup, recovery, archiving, replication, and disaster recovery.
However, while the domestic database ecosystem is evolving rapidly, it is still in a high-growth stage. In real-world production environments, enterprises are increasingly discovering a key gap:
“A database being available is not the same as it being recoverable.”
With AI, big data, and cloud-native adoption accelerating, data volumes are growing exponentially. Common challenges include PB-level databases, cloud-native security risks, ransomware targeting backup chains, and frequent logical errors or accidental deletions.
A true data security system must therefore ensure recoverability, verifiability, auditability, cross-platform compatibility, and automation.
Many enterprises face a common issue: backups succeed every day, but recovery fails when needed.
This is often caused by incomplete backup chains, missing logs, snapshot dependency, lack of recovery drills, or inconsistent data validation. In distributed database environments, traditional file-level backup is no longer sufficient.
Modern data protection must ensure application consistency, transaction consistency, continuous log protection, automatic verification, and fast recovery capability to support business continuity.
Common domestic databases include DM, KingbaseES, OceanBase, GaussDB, TiDB, openGauss, PolarDB, GBase, and VastDB, among others.
These systems differ in log mechanisms, cluster architectures, backup interfaces, and recovery methods—leading to a fragmented reality:
One database, one backup solution.
This significantly increases operational complexity and prevents standardized recovery processes. Enterprises therefore increasingly require a unified data management platform, rather than isolated backup tools.
Database localization is not just replacement—it is typically accompanied by:
As a result, enterprises no longer need a standalone backup tool, but a complete data mobility and resilience platform.
In domestic database and “trusted IT” scenarios, Info2soft’s i2Backup V9 is increasingly adopted in mission-critical environments.
Unlike traditional backup software, it focuses on:
Its core value is not only backup, but building a complete data resilience framework.
1. Broad support for domestic database ecosystems
Supports DM, KingbaseES, openGauss, OceanBase, MySQL, PostgreSQL, Oracle, and SQL Server, enabling unified backup and centralized management across hybrid environments.
2. Independent backup architecture, reducing recovery risk
Unlike snapshot-based approaches, i2Backup V9 avoids dependency on storage snapshots and supports independent backup chains, multi-copy protection, cross-platform recovery, and long-term archiving—critical for financial and government sectors.
3. Backup + disaster recovery integration
It works with Info2soft’s data replication and orchestration capabilities to enable DR automation, application-level recovery, failover, and DR drills, forming a unified resilience framework for enterprise continuity.
Phase 1: Unified management
Achieve visibility of database assets, centralized backup policies, and unified monitoring.
Phase 2: Recovery validation and DR drills
Ensure backups are not only successful but recoverable through regular testing and validation.
Phase 3: Build a data resilience system
Integrate backup, disaster recovery, archiving, ransomware protection, automation, encryption, access control, auditing, and emergency response into a unified framework.
With AI, large models, and data lakes expanding rapidly, data risks are also increasing—ransomware, leakage, cloud misconfiguration, and AI training data contamination.
Future data resilience systems will evolve beyond simple backup copies into active defense systems, incorporating anomaly detection, automated recovery verification, AI-assisted restoration, zero-trust backup, and immutable storage.
Many enterprises believe database migration equals successful localization. In reality, the real challenge lies in whether systems are:
Reliable, verifiable backup systems form a critical foundation of enterprise digital resilience.
In today’s increasingly localized IT landscape, enterprises need more than standalone tools—they need a unified data resilience platform covering backup, disaster recovery, replication, migration, and data governance.
