Your users don’t see your pipelines — they see your output. Deliver accurate, explainable, and reliable data every time. With built-in validation, rich lineage, and full transparency, you can build trust into every pipeline — and every decision that follows.
Quality issues caught at the source
Run data quality validations as data enters your system — not after it’s already flowing. Built-in checks automatically flag issues at the point of ingestion, so you can catch and correct problems before they affect dashboards, models, or users.
Ascend includes a large library of prebuilt quality checks—from null thresholds to schema drift—and makes it easy to create your own custom plugins. Apply validations at any stage of your pipeline, without needing to bolt on another tool.
Put DataOps best practices into action — built-in validation, versioning, and native CI/CD workflows catch issues early and protect downstream users from bad data in production.
With detailed run history, full code versioning, and interactive data exploration, quickly isolate failed records, trace logic changes, and identify exactly when and where things went wrong — without digging through logs or guessing across tools.
Ascend automatically tracks every step of your pipeline — from raw input to final output — so you always know where data came from, how it was transformed, and what changed along the way. When users have questions, you’ve got the full picture.
Reduced custom report delivery time from 2 weeks to just a single day.
“Ascend has transformed our data processing capabilities, allowing us to deliver valuable insights based on more data, more rapidly. It has been a game-changer for our business.”
Ascend's Intelligence Core brings structure and accountability to every pipeline. By combining metadata, automation, and AI, it enables early validation, full lineage, and version-aware debugging — so data teams can ship with confidence and users can trust what they see.
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Unified Metadata Collection
Ascend tracks data, code, and user actions in a unified metadata layer — powering automation, observability, and auditability through the entire data lifecycle.
Let AI do the tedious parts of data engineering — Ascend’s context-aware agents suggest code, explain logic, generate docs, and even automate steps on your behalf.