Observability for Data Pipelines

Track data journeys from origin to consumption

Monitor data across hybrid data lakes and warehouses to ensure high data quality and reliability.

Increase pipeline efficiency and reliability

Predict and resolve issues before they impact performance.

Align business and data strategies

Ensure timely data delivery so that AI and analytics pipelines always meet business requirements

Acceldata Flow helps trace enterprise data journeys from lineage to business impact.

Eliminate data pipeline downtime

Acceldata Flow ensures that every data transaction, handshake, and transformation is reliable for hybrid data lakes and warehouses at scale.

Monitor SLAs/SLOs and identify anomalies easily and instantly
Track key resource metrics from underlying cloud and compute systems
Monitor data schemas, distributions, and business events

Optimize data engineering workflows and productivity

Automate data pipeline instrumentation and generate high fidelity data for transformations, data movement, and replication.

Identify and troubleshoot data pipeline issues instantly
Create custom business events and log business-specific data
Integrate with popular ETL tools out-of-the-box

Align data pipelines and business objectives

Optimize data pipeline performance to meet expanding business requirements.

Reduce data pipeline costs by identifying and eliminating bottlenecks
Optimize data pipeline performance for resource, cost, and time
Automate operations to manage thousands of data pipelines with fewer resources

“Data pipelines are like modern supply chains for digital information. When they break, business grinds to a halt. Acceldata Flow eliminates data pipeline downtime by ensuring reliable data transactions, handshakes, and transformations in hybrid data lake and data warehouse environments.”