Data Pipeline
Observability

Instrument complex data pipelines and ensure data reliability across hybrid data lakes and warehouses.

Improve data visibility

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

Increase pipeline efficiency
and reliability

Predict and resolve issues before they impact performance.

Align data with business outcomes

Ensure data delivery and pipeline performance meet business requirements.

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

Eliminate Data

Eliminate data downtime

  • Monitor SLAs/SLOs and identify anomalies easily and instantly
  • Track every data transaction, handshake, and transformation
  • Monitor data schemas, distributions, and business events

Optimize data engineering productivity

  • Identify and remediate data pipeline issues instantly
  • Create and track custom business events on-the-fly
  • Integrate with popular ETL tools out-of-the-box
Intelligent Data

Align data pipelines with business objectives

  • 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

Flow integrates with your most critical data systems

Apache Airflow
Apache Spark
Amazon EMR
Snowflake
Databricks
Portrait of Ashwin Rajeev - Co-Founder of Acceldata

Ashwin Rajeev

Co-Founder & CTO, Acceldata

“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.”

Ready to start your data observability journey?

Request a demo and chat with one of our experts.