Data Observability

Quickly view data lineage, data profiles, job and user logs, system health, and other critical workload metrics at a glance

Automate Data Governance Across All Your Data Workflows

Multi-DAG Orchestration

Real-time Pipeline Visibility

Unified, real-time view into what transformations and connectors are up-to-date
See at-a-glance when transformations are running, paused, in error state, and more.

Lineage Tracking & Change Detection

DataAware intelligence tracks where data came from and how it was used
Automatically monitor any changes to data, schema and code
Dynamically generates tasks and parameters to ensure the right data arrives, always

Secure Data Feeds

Standardize all key data sets across teams with secure data feeds
Easily give users access to the specific data sets they need, and only those data sets,
Eliminate the need for individuals to handle raw data that can be difficult to decipher and transform.

Automated Lineage Tracing

Track—across single or multiple pipelines—where each piece of data came from, how it was acquired, and what code was run on it
Simplify enterprise governance enterprise data governance with an in-depth understanding of the linkages between code, data and users, with a level of visibility and auditability never before possible

Pipeline Alerting

Track the status of each pipeline at the component level with the ability to alert on all errors
Customize notifications to fit your teams needs with integrations to most common alerting systems, like PagerDuty and OpsGenie, as well as custom webhook processors

Want to learn more about the data observability platform and how it can help you quickly and easily bring advanced automation to your data and analytics engineering efforts with the Ascend Data Automation Cloud?

From Our Customers

"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."

"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."

"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.”

"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.”

Resources

The New Data Scale Challenge

From struggling with data volume and infrastructures to scaling data team capacity—what is the answer to increasing bandwidth?

Download Now

Whitepaper

DataAware Podcast

With a variety of guests from all facets of data engineering and associated teams, episodes look in-depth at the role of data engineering and data teams, trends, best (and worst) practices, real world use cases, and more.

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PODCAST