Intellova vs building in-house
Building in-house gives full control but means hiring data engineers, writing and maintaining pipelines, modelling data and building dashboards — months of work and ongoing cost. Intellova delivers the same outcome — a unified database on AWS, dashboards and AI — managed for you, in days not months.
Building in-house gives you total control and customisation, and can make sense for large organisations with dedicated data teams and very specific requirements.
How they compare
yes partial no
| Capability | Intellova | building in-house |
|---|---|---|
| Full control & customisation | ||
| Unified database without hiring engineers | ||
| Dashboards & BI included | ||
| AI agents & automation built in | ||
| Live in days, not months | ||
| No ongoing maintenance burden | ||
| Predictable mid-market cost |
Choose Intellova when…
You want the outcome fast, without hiring a data team or owning the long-term maintenance — and you'd rather your people focus on the business than the pipeline.
Choose building in-house when…
You're a large organisation with a dedicated data team and highly specific needs that justify building and maintaining a bespoke platform.
The bottom line
Building in-house buys you control at the cost of months of work and permanent maintenance. Intellova gives you the same unified database, dashboards and AI in days — your data, on your AWS, without the data team.
Frequently asked
Rarely, once you count data-engineer salaries, build time, and ongoing maintenance. A managed platform turns a multi-month project with ongoing cost into a predictable subscription that's live in days.
Keep comparing
New to the terms? See the data glossary or read the data report.
See it on your own data
Start a 30-day free trial — we connect your tools, build your unified database on AWS, and hand you the Amazon Quick Suite dashboards.
Start your 30-day free trial