Big Data Performance — 300,000+ Items for One Client, Search Still Returns in Seconds
Tuned indexes, optimized queries and read replicas, data compression, multi-layer caching with Redis, smart pagination for huge lists, and lazy-loaded images — so reports run across millions of rows without stalling.
Are These Problems Hurting Your Business?
The system slows as data grows
Fine in year one; by year three every screen takes a minute to open
A report freezes the browser
An annual report over a million rows stalls the system for everyone, not just the person who ran it
Catalog search is slow
A salesperson waits on an item lookup while the customer in front of them loses patience
The only offered fix is a bigger server
You pay for hardware instead of fixing the queries causing it
How Hunt ERP Solves These
Proven with 300,000+ items for a single client while search and reports still return in seconds
Indexes built from real query patterns rather than guesswork
Query optimization: eliminating N+1, batching, and reducing rows scanned
Read replicas — heavy reports run away from the operational database
Multi-layer caching: Redis plus database-level and object caching
ZLIB compression for attachments and cold data, cutting storage and read time
Smart pagination for huge lists instead of loading everything
Lazy loading for images and attachments
Reports that run in the background and arrive ready without blocking the screen
Archiving of older periods while keeping them queryable
Continuous performance monitoring: slowest queries, heaviest screens, response times
Industry-Specific Modules
Everything you need in one integrated system
Frequently Asked Questions
Will the system still be fast after five years of data?
Does a large report block other users?
Do I need a huge server?
Is the 300,000-item figure real?
Ready to Apply Hunt ERP to Your Business?
Book a free demo or contact our sales team for a custom quote tailored to your industry
