For SaaS product teams
As customers ask more of your reports, slow loads, overnight updates and server costs start getting in the way. eddy keeps the reporting data updated in a separate database, ready for the experience your team builds.
01 · Customer questions
A customer compares locations, checks account usage or investigates a change in revenue. Start there, then choose the models and queries that can answer those questions.
A total is useful until someone needs the records behind it. Plan the filters, grouping, date ranges and exports your customers need.
Refunds and amended records should reach the report. Make it clear which source changes the numbers include.
A report needs to work when many customers open it together. Test the actual queries and traffic your product will see.
02 · Keeping reports updated
A report can be right today and wrong tomorrow. Refunds, corrections and deletes change the numbers. eddy updates your reporting models as those records change, and can keep related reports aligned to the same point in time.
03 · Speed and cost
Move customer reporting queries into eddy, away from the database running your application. eddy keeps the results behind your reports updated, so each request can read them without rebuilding the whole report.
Recorded 2026-10-08: Six per-customer dashboard lookups over 30 active customers from a 1,000-customer demo dataset. Warm result caches, a quiet writer and a 20-second run. 4 proxies with 2 cores each on AWS m7g.8xlarge, 32 cores. Full setup and results.
Try your own queries and customer traffic to understand response times and cost. We agree pilot pricing with you.
04 · Customer data
eddy can keep separate reporting state for each customer. Your app checks who can access it. When related reports need to agree, you can align their inputs to the same point in time.
05 · Getting started
Choose a report that's slow, expensive or out of date. Bring its SQL or dbt definition and the tables it depends on. We'll check what eddy supports and work through the setup with your team.
Start with the definitions behind your current report. SQL and dbt.
Query the results or send them to another system. Integration options.
Use the same data in your dashboards and customer tools. Agents and MCP.
06 · Trying your data
Before a pilot, agree what to measure. Include the questions customers actually ask and what happens when the underlying records change.
Compare with your current report or reference SQL, including refunds, corrections and deletes.
Measure update delays and load times while customers query it together.
Agree a budget and look at the work needed to update, query and store the reporting data.
Keep going
Book a demo and show us where your current reporting falls short.
