Database Data Archiving
Database Data Archiving
Don’t Let Database Growth Degrade Application Performance
Slash storage costs and boost query speeds; archive legacy databases compliantly, unlocking agile analytics on petabyte-scale data without downtime.
The Challenge
Bloated Databases and System Lag
As production databases grow, performance inevitably suffers. Large tables lead to longer backup windows, sluggish queries, and increased hardware costs. For enterprises running mission-critical ERPs, “database bloat” isn’t just a technical issue—it’s a business risk that impacts user productivity and increases the cost of cloud or on-premise infrastructure.
The Infobelt Approach: Performance-Optimized Archiving
Infobelt provides a sophisticated database archiving solution that removes historical, infrequently accessed data from production systems without losing the ability to query it. We support a wide range of relational databases (RDBMS), ensuring that your “active” environment remains lean and fast while your historical data is moved to a cost-effective, high-performance archive.
Key Features
- Granular Data Extraction: Archive specific data sets based on business rules, dates, or transaction types while maintaining full referential integrity.
- Storage Cost Reduction: Shift archived data to lower-cost storage tiers (S3, Azure Blob, etc.) to slash infrastructure overhead.
- AQL Copilot Access: Users can query archived database records directly through our AI-powered interface, making "cold" data feel "live."
- Storage Cost Reduction: Shift archived data to lower-cost storage tiers (S3, Azure Blob, etc.) to slash infrastructure overhead.