![DBLab Engine vs. Tableau [Private Offer Only] report](https://www.peerspot.com/assets/media/images/icons/pdf-c33db68f.svg){kind=icon}
![Tableau [Private Offer Only] Logo](https://images.peerspot.com/image/upload/c_scale,dpr_3.0,f_auto,q_100,w_64/3wz26y4eobbnb0ea9r1hctqbpq6x.png?_a=BACAGSGT)
![Tableau [Private Offer Only] Logo](https://images.peerspot.com/image/upload/c_scale,dpr_3.0,f_auto,q_100,w_30/3wz26y4eobbnb0ea9r1hctqbpq6x.png?_a=BACAGSGT){kind=small}
![Tableau [Private Offer Only] Logo](https://images.peerspot.com/image/upload/c_scale,dpr_3.0,f_auto,q_100,w_40/3wz26y4eobbnb0ea9r1hctqbpq6x.png?_a=BACAGSGT){kind=small}
I only used DBLab Engine for a while, but I already see many benefits. I can think of applications not only in the hackathon, but we can also probably do some black-box monitoring, set up some simulation environments, and I think it is very helpful to have this kind of automatic testing to ensure that whenever our new feature is delivered, there are no regressions. In my experience, the absolute best feature of DBLab Engine is the thin cloning capability driven by copy-on-write technology. Being able to provide a full-size production-scale database clone in just a few seconds, regardless of whether the underlying database is tens of gigabytes or multiple terabytes, is a massive game-changer for engineering velocity. I really would to try more. The complete environment isolation is also very fantastic. I have noticed that the thin cloning and environmental isolation of DBLab Engine have dramatically accelerated our development lifecycle and improved overall code quality, even in a hackathon. Before utilizing this, setting up a realistic test database was a major bottleneck. Developers either had to share a single staging database or spend hours trying to seed a local database with a thin, representative subset of mock data. With DBLab Engine, we achieved complete workflow interdependence, which was incredibly helpful.
