Directly connect, explore, and unify live data from data lakes, warehouses, and pipelines with Ascend’s new, native integration for Looker.
Unified Data Engineering Platform
Ingest Anything. Connect to any data lake, warehouse, database, stream, or API with little to no code.
Build Faster. Create autonomous data pipelines with 95% less code. Write in Python, SQL, and YAML interchangeably.
Run Autonomously. Optimize data pipelines and infrastructure with dynamic resourcing, intelligent persistence, and advanced deduplication.
Integrate Everywhere. Connect data pipelines with your favorite BI tools, notebooks, and big data systems.
Govern Automatically. Track code, data, and users with a suite of granular monitoring, reporting, and security capabilities.
Why Ascend?
Being a Data Engineer just got a whole lot better
BUILD FASTER
Leverage declarative configurations to build data pipelines with 95% less code. Iterate, test, and productionize with no disruptions or downtime.
CHANGE WHENEVER
Add, remove, and edit data sets and logic in minutes. Ascend tracks full data lineage, backfilling and propagating changes automatically.
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.
William Knighting
Data Analyst
“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. “
Miguel Alvarado
CTO
“With Ascend, more people can build sophisticated pipelines to an extent I’d never have believed was possible.”
Francis Chan
Director of Engineering
“What I just did in an hour… would have taken me weeks. This is really cool.”
William Knighting
Data Analyst
“I feel like we’ve only used about 10% of the functionality so far, which is very promising in what we can accomplish next.”
Sheel Choksi
Senior Director of Operations
“To get a new data source in or update an existing one has gone from 1-2 days worth of work, down to less than an hour.”
Francis Chan
Director of Engineering
“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.”
Accelerating Prototype to Production with
Advanced Data Engineering Capabilities
Declarative Pipeline Builder
Focus on what you want to do with your data, not how to do it. Describe your data inputs, transforms, and outputs in compact Python, SQL, PySpark, and YAML. Every stage you build is visualized so you can quickly explore, test and iterate without having to sift through mountains of code
Autonomous Pipeline Engine
Works behind the scenes to dynamically generate and optimize autonomous data pipelines that adapt to changes in data, code, and environment. Ascend’s DataAware™ intelligence ensures the same code is never run on the same data twice, eliminating unnecessary work, accelerating pipelines, and optimizing your compute costs.
Structured Data Lake
Dynamically synchronizes your data lake with the data pipelines running against it, guaranteeing data integrity, deduplicating redundant data and queries, and intelligently backfilling data on logic changes. Tap into intermediate data sets for any stage of any pipeline, and connect to your preferred processing engine or notebook.
Interactive Data Pipelines
Combine the scalability of data pipelines with the explorability of data warehouses. Explore, profile, and prototype data in Ascend, without disrupting the pipeline development process. Query any stage of your data pipelines like tables in a warehouse. Instantly productionize those queries into new pipeline stages with no additional code or configuration.
Talk to a Data Engineer
Grab time with one of our data engineers to get a live demo of Ascend. Learn how your team can build 10x faster on the Unified Data Engineering Platform.
The first Data Engineering platform that understands your data
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 20% more efficiently, with fully integrated lineage tracking, auditability, and governance.
WHITEPAPER | An Assessment of Pipeline Orchestration Approaches
PODCAST | Data Engineering Podcast - Replatforming Your Dataflows
WEBINAR | Intelligent Orchestration: The Key to Declarative Pipelines