Best practices for optimizing Stimulsoft reports with large datasets
Posted: Mon Jan 26, 2026 2:44 pm
Hi everyone,
I’m new to the forum and currently testing Stimulsoft Reports for a web-based application. I’d like to ask what the recommended approach is for optimizing report performance when working with large datasets (for example, 100,000+ records).
Are there specific best practices related to data filtering, report structure, caching, or data adapters that can help reduce rendering time and memory usage?
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Any guidance or real-world experience would be greatly appreciated. Thanks in advance!
I’m new to the forum and currently testing Stimulsoft Reports for a web-based application. I’d like to ask what the recommended approach is for optimizing report performance when working with large datasets (for example, 100,000+ records).
Are there specific best practices related to data filtering, report structure, caching, or data adapters that can help reduce rendering time and memory usage?
popular games
Any guidance or real-world experience would be greatly appreciated. Thanks in advance!