Real-time SQL Server monitoring, audit-ready telemetry, and AI-assisted query analysis on the on-prem roadmap — for booking engines, PMS and loyalty databases. Built to hold up through peak-demand windows, deployed on-premise, with PCI-aligned test-data tooling for everything outside production.
Three pressures that turn travel database observability from an engineering tool into a revenue and compliance problem.
Season openings, flash sales, festival windows, holiday bookings — travel and hospitality databases face traffic patterns most enterprise workloads never see. Generic tools were tuned for steady-state load. When the booking page slows down on launch day, the revenue is gone — and the social-media damage compounds the loss.
Loyalty programs hold some of the richest customer data in any industry — payment cards, passport details, travel history, family members. PCI DSS 6.4.3 and GDPR Article 32 prohibit production payment and personal data in dev/UAT environments. Most teams still copy production to dev anyway — and hope nobody asks.
A hotel group runs PMS, CRS, central reservations, loyalty, payment and revenue management — across dozens of properties and dozens of database instances. When something slows down, the on-call DBA has six dashboards open and still doesn't know which system the customer is complaining about.
Four workloads where peak-demand architecture, PCI-aligned test data and audit-ready telemetry are non-negotiable.
Booking-engine availability queries hit the database thousands of times per minute. DPM watches wait stats, blocking and plan-cache regressions in real time — so the search-to-book funnel doesn't silently degrade during a peak window.
PMS databases are the operational heart of every property. DPM monitors the entire SQL Server estate behind your PMS — across every property — from one console. Performance degradation surfaces before front-desk staff complain.
Loyalty databases hold tens of millions of members and their full transaction history. DPM catches plan regressions on member-lookup queries before they cascade into slow rewards redemption or broken statement generation.
Production cardholder and loyalty data cannot legally be in dev/UAT under PCI DSS 6.4.3 and GDPR Art. 32. DataForge discovers PII automatically, masks consistently across referential dependencies, and produces compliant test environments in minutes.
DPM watches every monitored instance against thresholds you set and baselines it learns. When booking-engine availability slows, a PMS query plan flips or loyalty lookups drift, the alert lands in the channel the on-call DBA already lives in — entirely inside your network.
Three numbers a VP of E-commerce, a DBA lead and a CISO all look at — and where Avesys moves each one in the right direction.
One number. No per-database tax, no metric-by-metric upsell. Onboarding the next 30 properties costs what onboarding the last 30 cost — easy to model, easy to defend in a budget review.
The agent is engineered to disappear. Sub-1% CPU on production instances means you can monitor your busiest checkout database the same way you monitor a warehouse OLAP node — without becoming the cause of the slowdown.
No outbound network path for the Avesys collector. The console, the collector and the local AI option all run inside the customer perimeter — GDPR and PCI DSS addressed in architecture, not in policy.
Three architectural calls that separate database observability built for peak-demand travel estates from a generic monitoring tool.
No cloud relay for the Avesys collector, no outbound telemetry, no spiking agent overhead. The collector is engineered to disappear during the exact 90 minutes that revenue is on the line.
Production cardholder and loyalty data cannot legally sit in dev/UAT. DataForge discovers PII automatically, masks consistently across loyalty-booking-payment referential links, and provisions compliant test environments on demand.
€650 per instance per year. Predictable as your property count grows. Competing DPM tools price by metrics retained, by user, by data volume — chains grow by acquisition, not by single seats.
The founders previously built and operate EST10, an enterprise data management consultancy with 20 years of experience running mission-critical SQL Server estates for regulated, large-enterprise clients. Avesys is the productization of that experience — a tool that doesn't ship guest data to a US cloud, doesn't require a six-month implementation, and holds up the night a sale window goes live.
The platform was designed against the bar a serious peak-demand deployment clears — PCI-aligned test data by tooling, GDPR by architecture, sub-1% overhead during launch windows, and pricing that scales with the chain.
Not a feature checklist against other vendors. The bar a serious travel-grade platform clears — and what we built Avesys to deliver from day one.
Per-instance pricing, every year. Everything DPM ships today — wait stats, blocking, queries, fleet view, alerting, the lightweight collector — included.
One annual fee per monitored instance. Whether the instance powers a PMS, a booking engine, loyalty or BI — same number, same product, same agreement.
Three low-friction ways to start a conversation. Whichever you choose, you'll land on a 15-minute call with someone who has actually been on-call for a travel & hospitality SQL Server estate.
