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Unified Data Engineering

Declarative Data Pipelines.
Smarter Data Engineering.

Spend more time bringing data innovations to life by simplifying and accelerating data orchestration.

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Ascend for Data Engineers →

Learn how the Ascend Platform can help data (and software!) engineers optimize and accelerate data pipelines while eliminating unnecessary work.

Ascend for Data Analysts →

Learn how the Ascend Platform can help data analysts interact with any data, any where, while iterating ETLT at impossible speeds.

Why Ascend?

Focus on what to do with your data.
Not how to do it.

The cloud-native Ascend Unified Data Engineering Platform removes the traditional burdens of data pipelines, freeing data teams from the status quo of pipeline maintenance so they can spend more time bringing innovations to life.

Ascend.io’s flex-code approach democratizes data engineering with 10x faster build velocity, automated maintenance, and 95% less code.

Simple

Build Faster

Leverage declarative configurations to build data pipelines with 95% less code. Iterate, test, and productionize with no disruptions or downtime.

Smart

Change Whenever

Add, remove, and edit data sets and logic in minutes. Ascend tracks full data lineage, backfilling and propagating changes automatically.

Powerful

Run Forever

Ascend continuously monitors for changes to code and data, automatically keeping your pipelines up-to-date and keeping you from getting paged at 3am.

"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 EspostoChief 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 PaulinData Architect, PrestaShop
“With the breadth and speed we require, Ascend meets the demands. We no longer look at individual data sources to pull into Ascend, we look at our entire enterprise—customer-facing and internal—and decide how to pull that into Ascend and then feed it into other systems for visualizations. Ascend is the gateway that processes all our data.”
Ariscielle NovicioSVP & Head of Technology, New York Post
"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 any more. New data will show up and get pushed where it needs to go."
Francis ChanDirector 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 PotdarPrincipal Data Engineer, Drivewealth
"Ascend just put everything together and allowed us to have a nice, visual way to represent our workflows with an engine behind it that scaled."
Tom KozlowskiVP Decision Science at HNI Corp.
"Ascend is super intuitive and easy to use. In just a matter of weeks, we overcame a challenge that we’d been struggling with for over 9 months with a lot of folks involved. I feel like we’ve only used about 10% of the functionality so far, which is very promising in what we can accomplish next."
William KnightingData Analyst, Harry's
“Being given the ability to manage the data for the business needs and strategic needs is historically one of the biggest challenges at Mayvenn. With Ascend, having the ability to own the management of those business needs more efficiently, even with a small team, has been very powerful for us.”
Geoff AoyagiSenior Director of Data and Analytics, Mayvenn
"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 TwoseManager of Data & Digital Solutions, Tonkin & Taylor
"The foundation of any successful Machine Learning project is a simple-to-use, scalable, reliable data orchestration platform. Ascend.io offers that and more, so in combination with Vidora, customers can truly operationalize their ML pipelines."
Alex HolubCEO, Vidora
How we help

A robust platform, built with intelligence

Impossible to do with any other system, the built-in DataAware™ intelligence layer observes, understands, and tracks every piece of data to dynamically generate data pipelines that run more efficiently, with fully integrated lineage tracking, auditability, and governance.

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Ingest Anything

Connect to any data lake, warehouse, database, stream, or API with little to no code.

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Transform Faster

Create autonomous data pipelines with 95% less code. Write in SQL, Python, Scala, and Java interchangeably.

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Orchestrate Autonomously

Optimize data pipelines and infrastructure with dynamic resourcing, intelligent persistence, and advanced deduplication.

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Deliver Everywhere

Connect data pipelines with your favorite BI tools, notebooks, and big data systems.

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Observe Automatically

Track code, data, and users with a suite of granular monitoring, reporting, and security capabilities.

Product Overview
Built for everyone

Flexible Coding Options

Low-code and no-code technologies have risen to prominence in recent years, where these lower-code technologies use visual interfaces that abstract away the majority of coding required to build business logic. However, they greatly limit the flexibility to meet more complex needs with custom code when needed.

The Ascend.io flex-code approach addresses both needs under one unified framework.

Analysts benefit from low-code features

Engineers can add raw code to handle special situations

Sql
python
scala
java

Start Building →

Get in touch to get started with a guided setup of the Ascend Unified Data Engineering Platform.

Check Out Our Documentation →

Learn more about the Ascend Unified Data Engineering Platform and see a variety of tutorials and examples.

Ready to get started with declarative data pipelines?

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