Ascend.io's Customers Are Growing More DataAware

See Ascend in Action

Built by data engineers. Trusted by data teams everywhere.

"The Ascend Platform is a phenomenal application for data engineering in companies like Be Power, which benefits from an end-to-end platform like Ascend instead of investing in custom open source solutions that take massive amounts of time and effort to build and operate. I’ve searched for something like Ascend for a long time.”

Paolo Esposto

Chief Data Officer, Be Power

"Ascend's declarative engine is a game-changer for our team's productivity and its flex-code approach strikes the right balance, offering the flexibility we need—ranging from our simple SQL transforms to our most complex recursive PySpark transforms. Data Engineers and Data Analysts alike are unanimous: there is no going back to a traditional imperative approach to Data Engineering."

Remi Paulin

Data Architect, PrestaShop

"Ascend is our beachhead to develop our services in the cloud, as Tonkin & Taylor continues to evolve to meet customer needs better and faster than ever.”

Graeme Twose

Manager of Data & Digital Solutions, Tonkin & Taylor

"What I just did in an hour… would have taken me weeks. This is really cool. I don’t need to worry about data coming through the pipeline anymore. New data will show up and get pushed where it needs to go."

Francis Chan

Director of Engineering, Divx

"Ascend substantially simplified our data engineering efforts, and in a way that cured any phobias the team had with integrating in a new technology. Ramping up was easy, and processes that previously either took days or sometimes weren't possible at all, now happen in minutes."

Ankur Potdar

Principal Data Engineer, Drivewealth

“With Ascend, the tech just worked and the people just worked. The relationship with Ascend is fantastic, which makes our lives so much easier.”

Ariscielle Novicio

SVP & Head of Technology, New York Post

Supercharging Data Engineering Velocity

With the Ascend platform, Be Power was able to reduce time spent building data pipelines by 80%, while at the same time massively lessening the burden on the data engineering team for the production and monitoring phases. We work hard but also believe that taking time off from work is essential, both personally and professionally.

Paul Lacey
Head of Product Marketing

Bringing DevOps Principles to Data

"You have to be ready to challenge the status quo at every step of the [data] journey. If you think through the exact destination you want to be at, that will drive a lot of the decisions as you think backwards to where you started. Thinking through exactly where you want to be is the key. And the whole partnership with Ascend to do that has been a great process."

Tessa
Blankenship

How to Build a Data Pipeline in 6 Steps

Explore how to build a data pipeline in 6 steps, from design to deployment, and learn a new framework to simplify the process.

Elesh Mistry
Solutions Engineer

Try it out. Your future self will thank you :)

See Ascend in Action