Data Ingestion Platform

Data Ingest

Seamlessly connect your data pipelines to any data, in any system, without worrying about yet another system or tool.

Fast, Repeatable Data Ingestion and Replication

Ingest Data from Any Source in Any Format

Connect to any warehouse, lake, queue, database, or API

Choose from an expanding library of flex-code data connectors

Create your own connectors with little to no code needed

Cross-Cloud Data Replication

Quickly replicate from cloud-to-cloud with a simple data pipeline

Optimize cross-cloud data transfers

Flex-Code Connector/
Connections Reuse

Build a connector once, and use it forever

Flex-Code Data Connectors can be used by you or anyone on your team

Automatic Data Profiling

Automatically profile every piece of data

See how values change over time

Easily keep an eye on data anomalies and more.

Incremental Data Propagation

Save significant infrastructure costs by processing end-to-end data faster

Automatically handle later arriving data

Only process changed data—and data related to it—without re-processing unchanged data

Automatic Data Reformatting

Quickly get all your data—big and small—ready for processing

Aggregate small files and partition large files with ease

Quickly convert GZIP’ed CSVs to Snappy compressed Parquet files

Quickly parse and reformat text JSON, CSV, Avro, Parquet and more.

Full support for all standard industry compression such as GZIP, BZIP, etc.

Extend Ascend by implementing your own custom Python parser

Automatic Data Detection

Detect and ingest new, updated, and deleted data automatically, and efficiently

Keeps tabs on data connectors to know not only where your data is located but also how often it changes

Know what data has already been ingested

Want to learn more about the data ingestion 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