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.
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.
Free Up Analytics and Data Engineering Time
Ascend is the Agentic Data Engineering Platform that automates and optimizes the entire data pipeline lifecycle. It enables teams to build, run, and scale reliable data products faster, with less manual effort.
Ascend is used by data engineers, platform teams, analytics engineers, and technical executives at organizations that want to accelerate data delivery, reduce operational costs, and eliminate technical debt.
Unlike traditional ETL platforms, Ascend offers agentic solutions to help developers build and deploy data pipelines faster. With intelligent orchestration, AI-assisted development, and unified metadata collection, the platform eliminates repetitive work and allows your team to focus on high-impact data initiatives.
Yes. Ascend integrates with popular cloud data platforms like Snowflake, Databricks, BigQuery, and includes an extensible architecture — making it easy to plug into your current systems.
Ascend’s AI-native developer experience includes an in-line copilot and agentic chat data engineers can use to build and optimize their pipelines. Additionally, background agents monitor and maintain systems autonomously.