Built by data engineers. Trusted by data teams everywhere.
The Only Platform That Does It All, Intelligently.
Ascend replaces your patchwork of ingestion scripts, orchestrators, schedulers, transformation tools, observability layers, and manual glue code. Here’s what’s built-in and what you’re missing with everyone else.
Capability
Unified platform
Agentic Data Engineering
Automated Optimization
Smart orchestration
Real-time observability
Built-in data quality
Version control + CI/CD
Custom automation
Scalable by default
Security + isolation
Time to first pipeline
Ascend
One tool to ingest, transform, automate, observe, & optimize data
Context-aware AI agents
SHA-based Smart Tables for automated optimization
Intelligent scheduling, event triggers, and dependency handling
Live runs, lineage, and change history
Auto validation, anomaly detection
Git-native workflows with branching & deployment
Event-driven triggers, sensors, and actions
Auto-optimized workloads with elastic execution
Isolated compute environments
Minutes to first pipeline
Other Tools
Patchwork of disconnected tools
Context-blind chatbots
Manual partitioning and reprocessing
Manual DAGs or cron jobs
Requires custom setup or add-ons
Requires third-party data quality tools
Partial or add-on CI/CD
Manual scripting required
Needs constant tuning
Depends on deployment setup
Days to weeks to first pipeline
Intelligence at the Core
Ascend's Intelligence Core combines metadata, automation, and AI in a layered architecture that empowers teams to build pipelines 7x faster and cut processing costs by 83%.
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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.
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