Agentic
Data Engineering

Build and deploy your data pipelines with an intelligent platform that automates, optimizes, and accelerates every part of the data lifecycle.
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Built by data engineers. Trusted by data teams everywhere.

Ship data products faster with an agentic data engineering platform

Ascend combines a metadata foundation, event-driven automation, and AI agents to help you build pipelines and keep them healthy. Ship faster, deploy safer, and respond to changes with full context, without living in logs.

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Use SQL or Python in one workspace with version control.
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Unified metadata across ingest, transforms, orchestration, and observability
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Event-driven automation for smarter triggering, retries, and backfills
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Context-aware alerting that tells you what broke and why, not just that something broke.
Ascend's Intelligence Core
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AI Agents
Otto generates code, writes tests, and suggests fixes with full visibility into your lineage, dependencies, and cost.
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Unified Metadata Collection
One source of truth for data, code, and pipeline state. No fragmented metadata across five different tools.
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DataAware Automation Engine
Event-driven orchestration that watches for actualdata changes. No schedules. No wasted runs.
How Ascend Helps:‍The TL;DR

The AI Data Engineering Platform (That Actually Understands Your Stack)

Build Data
Pipelines at Scale

Use code when you want it, clicks when you don’t. Ascend combines integrated AI agents and native GitOps for seamless team collaboration.

See How You Can Build
Ascend UI graph nodes and code editor
Automate Workflows Easily

Ascend automates orchestration using rich metadata and event-driven triggers so pipelines run only when needed, and custom logic is easy to build in.

See Automation In Action
Ascend Automation UI
Observe with Confidence

Monitor pipeline performance, trace lineage end-to-end, and debug faster with real-time, metadata-powered insights.

Book a Demo
Ascend UI - Observability
Optimize with Precision

Run faster, spend less. Ascend uses metadata and fingerprinting to cut unnecessary compute without sacrificing performance.

Experience Optimization
Ascend UI - Optimizations
How teams make the most of Ascend
Build Pipelines 10x Faster
Deploy, orchestrate, and maintain data pipelines with AI agents. Spend time building, not debugging.
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AI Pipeline BuilderDescribe what you need in natural language — agents build the pipeline
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Automated TestingAuto-generated data quality checks and regression tests
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Self-Healing WorkflowsAgents detect failures and auto-remediate
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Code-First ApproachFull Git integration with version control and CI/CD built in
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Multi-Cloud OrchestrationSeamlessly move data across Snowflake, Databricks, BigQuery, and more
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Intelligent SchedulingDependency-aware orchestration that optimizes execution
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Multiply Team Productivity
Deliver data 10x faster at 83% of the cost of traditional tools. Give your team the leverage to focus on strategic initiatives, not pipeline maintenance.
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Reduce Tool Sprawl Consolidate your data stack and eliminate redundant tooling costs
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Performance Insights Real-time dashboards track pipeline health, cost, and team velocity
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Team Scalability Onboard new team members in hours, not weeks, with agentic assistance
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Enterprise Governance
Built-in compliance, audit trails, and role-based access controls
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Agentic Adoption Drive safe and effective AI adoption for your team
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Intelligent Optimization Ascend's DataAware automation intelligently eliminates unnecessary reprocessing
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Governance Meets Autonomy
Control agentic behavior with intelligent guardrails while empowering teams to move fast. Define the rules, and let AI enforce them at scale.
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Safety BoundariesDefine guardrails that agents respect — no unauthorized changes
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Decision AuditingFull visibility into every agent decision
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Data StandardsEnforce naming conventions, schemas, and quality rules automatically
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Policy as CodeVersion-controlled governance policies that evolve with your org
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DataOps Best Practices
Deploy data pipelines with CI/CD and GitOps workflows
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Access Control
Fine-grained RBAC with environment-level isolation
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From Questions to Insights, Instantly
Generate insights, visualizations, and reports using natural language. No code required — just ask and get answers from your data in seconds.
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Natural Language QueriesConsolidate your data stack and eliminate redundant tooling costs
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Auto-Generated visualizationsReal-time dashboards track pipeline health, cost, and team velocity
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Instant Exports
One-click export or links to share directly with stakeholders
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Smart SuggestionsAI recommends follow-up queries and deeper analyses automatically
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Agentic AnalyticsGo beyond visualizations to deliver actionable insights and recommendations
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Proactive AlertsGet notified of anomalies and trends before they become problems
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Data Engineering
Build Pipelines 10x Faster
Deploy, orchestrate, and maintain data pipelines with AI agents. Spend time building, not debugging.
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AI Pipeline BuilderDescribe what you need in natural language — agents build the pipeline
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Automated TestingAuto-generated data quality checks and regression tests
Image
Self-Healing WorkflowsAgents detect failures and auto-remediate
Image
Code-First ApproachFull Git integration with version control and CI/CD built in
Image
Multi-Cloud OrchestrationSeamlessly move data across Snowflake, Databricks, BigQuery, and more
Image
Intelligent SchedulingDependency-aware orchestration that optimizes execution
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Data Leader
Multiply Team Productivity
Deliver data 10x faster at 83% of the cost of traditional tools. Give your team the leverage to focus on strategic initiatives, not pipeline maintenance.
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Reduce Tool Sprawl Consolidate your data stack and eliminate redundant tooling costs
Image
Performance Insights Real-time dashboards track pipeline health, cost, and team velocity
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Team Scalability Onboard new team members in hours, not weeks, with agentic assistance
Image
Enterprise Governance
Built-in compliance, audit trails, and role-based access controls
Image
Agentic Adoption Drive safe and effective AI adoption for your team
Image
Intelligent Optimization Ascend's DataAware automation intelligently eliminates unnecessary reprocessing
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Data Architects
Governance Meets Autonomy
Control agentic behavior with intelligent guardrails while empowering teams to move fast. Define the rules, and let AI enforce them at scale.
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Safety BoundariesDefine guardrails that agents respect — no unauthorized changes
Image
Decision AuditingFull visibility into every agent decision
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Data StandardsEnforce naming conventions, schemas, and quality rules automatically
Image
Policy as CodeVersion-controlled governance policies that evolve with your org
Image
DataOps Best Practices
Deploy data pipelines with CI/CD and GitOps workflows
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Access Control
Fine-grained RBAC with environment-level isolation
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Data Analysts
From Questions to Insights, Instantly
Generate insights, visualizations, and reports using natural language. No code required — just ask and get answers from your data in seconds.
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Natural Language QueriesConsolidate your data stack and eliminate redundant tooling costs
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Auto-Generated visualizationsReal-time dashboards track pipeline health, cost, and team velocity
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Instant Exports
One-click export or links to share directly with stakeholders
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Smart SuggestionsAI recommends follow-up queries and deeper analyses automatically
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Agentic AnalyticsGo beyond visualizations to deliver actionable insights and recommendations
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Proactive AlertsGet notified of anomalies and trends before they become problems
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Trusted bydata leaders everywhere
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10X
Boost in team productivity
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"I can’t even fathom going back to Fivetran and dbt, where they're only doing a fraction of what you need."
Shaheen Essabhoy
Senior Data Lead
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83%
Reduction in processing costs
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"What I just did in an hour would have taken me weeks previously."
William Knighting
Analytics Platform Lead
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"The highlight of my week is getting to build in Ascend"
William Knighting
Analytics Platform Lead

Let’s give your team their time (and sanity) back.

Upto
700%
Boost in team productivity

Free Up Analytics and Data Engineering Time​

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Testimonial grid.
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Frequently Asked Questions
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What's the difference between Ascend and traditional ETL tools?
How does Ascend automate data pipelines with AI?
How does Ascend help reduce the workload on data engineering teams?
How does Ascend help optimize compute and optimize cloud costs?
Is Ascend suitable for startups or only large enterprises?
What are some results companies have seen using Ascend?
How long does it take to get started with Ascend?
How much does Ascend cost compared to building in-house solutions?
What's Ascend's pricing model?
Do you provide migration assistance and professional services to migrate from legacy data platforms?