Clicks, not scripts

In traditional environments, you need multiple data stores necessary to enable different types of queries:

  • your customers want to know about happened in the last hour
  •  your data scientists want to do adhoc deep dives
  • your analysts want to do big historical queries

...or everyone would be unhappy because things are overloaded and running slowly.

Unfortunately, it is a lot of work to make all those uses possible and its painful, boring work: the daily dumps, the tweaks when schema changes, the data warehouse coordination that feels like an inescapable necessity. 

ETL sucks.

Fineo means you never need to worry about any of that again. Complex scripts and time-consuming jobs turn into simple clicks or straightforward API calls.

What do you do right now when...

  • schema changes?
  • you fat-fingered a field, but already pushed to production?
  • only some devices got updated but all of them are still pushing data?

In the best case, it probably means that you now have hours of painful compatibility work to make all those different data stores work together again. In the worst case, you lost some of that data.

Go Directly From Data To Insights, Without All The Mess In The Middle.

Fineo transparently handles these changes so you can get back to actually using that data to drive your business.

Why not use NoSQL systems?   

NoSQL is great for managing these fast moving changes without breaking, unlike traditional RDBMS. However, you still need some understanding of schema or you have no idea what data is going to come back out! Unfortunately, these systems push that requirement back onto you, the user (not to mention are hard to integrate, manage, etc.).

What does that end up looking like? Unfortunately, a whole lot like that management work you sought to avoid by going NoSQL in the first place! NoSQL doesn't mean 'no schema'; in fact, it means you actually need better tools.

Before Fineo, we had seen this time and again in practice, so we built an advanced schema management system. A system that:

  • helps you when you make mistakes
  • seamlessly evolves data models
  • easily integrates new data sources