Using a tool is almost always cheaper once you account for the full cost of building in-house.
The visible cost of building yourself is engineering time for the first version. A simple embedded dashboard might take one or two sprints. But the hidden costs stack up quickly:
- Multi-tenant data isolation — making sure each customer only sees their own data requires careful query design and ongoing audits
- Credential security — database credentials need to be handled server-side and never exposed to the frontend
- Chart maintenance — as your database schema evolves, queries break and someone has to fix them
- Customer requests — every time a customer asks for a new filter, a different chart type, or a date range selector, an engineer has to build it
- Ongoing infrastructure — caching, performance optimisation, and scaling all require continued attention
A tool like Draxlr costs $75 per month on the Premium plan. Most teams are live in one to two weeks.
If your engineering team costs $10,000 per month in loaded salary and building takes two months, the in-house version costs $20,000 before a single customer sees a dashboard. A tool pays for itself many times over.
Build in-house only if your analytics requirements are genuinely unique and you have dedicated engineering capacity to maintain it long term.