Agentic Data Engineering on Databricks
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Accelerate delivery into Databricks with automated ingestion. Ascend continuously optimizes ingestion for speed, resource efficiency, and schema integrity — so you ingest more data, with less effort & cost.
Automatically align with Databricks best practices. From workload-aware scheduling to Smart Table-based optimization, your pipelines batch, scale, and execute efficiently.
Ascend integrates directly with Delta tables — making it easy to build fast, reliable pipelines with incremental processing and full lineage.
Ascend respects Unity Catalog roles, tags, and access controls — while adding runtime observability, versioning, and end-to-end pipeline lineage to support governance at scale.
Trigger and monitor data prep, feature engineering, or batch inference pipelines across the Databricks AI/ML Runtime — all without manual orchestration or external schedulers.
Use code when you want it, clicks when you don’t. Ascend combines integrated AI agents and native GitOps for seamless team collaboration.
Ascend automates orchestration using rich metadata and event-driven triggers—so pipelines run only when needed, and custom logic is easy to build in.
Monitor pipeline performance, trace lineage end-to-end, and debug faster with real-time, metadata-powered insights.
Run faster, spend less—Ascend uses metadata and fingerprinting to cut unnecessary compute without sacrificing performance.
Ascend streamlines pipeline development with a unified platform to ingest, transform, and orchestrate data — eliminating tool sprawl and speeding up delivery. Teams report building pipelines up to 10x faster and reducing development effort by 75%.
Ascend intelligently optimizes workloads. With Smart Tables that reprocess only changed data, customers reduce operational overhead by up to 90%.
With built-in schema validation, data integrity checks, and full lineage, your team can catch issues early and deliver data with confidence.
Ascend gives your team real-time visibility into every pipeline run — with built-in monitoring, lineage, and historical change tracking. From spotting bottlenecks to resolving issues before they impact the business, teams get the insights they need to move fast and stay in control.
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