Ascend for GCP

Unified Data Engineering Platform

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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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Build Faster

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

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Run Autonomously

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

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Integrate Everywhere

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

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Govern Automatically

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

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Benefits of Ascend.io on GCP

Data Lineage

Easily answer the question “where did “net sales” come from?” thru visualization of lineage and all calculations/operations done to the data.

Pipeline Visualizations

Simplify complex queries into easy to understand sequential operations thru a modern DAG-based GUI that provides useful meta-data and state information at a glance.

Adaptive Ingestion

Keep data flowing by intelligently cascading schema changes to the data warehouse. Alert the data team with configurable levels of notifications when breaking changes are detected.

Access to Modern Technology including Data Science Tools

No matter your level of technical skill, we make the most modern capabilities accessible to you instantly! Play with Python, execute Spark jobs, begin your DS/ML journey with Notebooks or MLLib with no training.

Process More Data Sources

Native connections to common data sources and the ability to write small Python snippets to bring in anything else. Apply analytics to JSON, AVRO, XML, and custom byte encoded data in parallel. Even extract information from audio, documents, images by easily including ML/AI engines in the processing sequences.

Ensure Data Quality

Easily explore and validate your data before handing it off to your reports/analysts! Create a validation component that will run every time new data appears.