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Maximize data reliability for all your AWS data platforms

Apply detailed insights to identify, resolve, and prevent data incidents.

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Our users love us

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Saisharan C

Technical Architect, Enterprise
With its powerful features and dependable performance, Acceldata is an essential addition to any enterprise tech stack seeking to enhance data observability.

Ankit B.

Senior Technical Lead - Enterprise
We are using power of Acceldata for our data quality issues. Its integration is simple and we are able to identify various data quality issues quite easily.

Timothy C.

Senior Expert of Data Governance - Enterprise
Acceldata has opened quite a few doors for us at Nestle. We have started with the Data Reliability features of the product and moved into the Cloud/Cost Optimization aspects.

Jayanth Reddy G.

Senior DevOps Engineer - Enterprise
This combination of usability, seamless integration, and robust features makes Acceldata a powerful tool for enhancing data reliability and performance.

Mark. H

Manager Data Warehouse Operations - Enterprise
Onboarding our data into Acceldata was very quick and simple. Within 24 hours all production data was loaded and trends were easily established.

Chidambararajan M.

IT Consultant - Enterprise
Acceldata is giving the better quality checks for the data sources and the maintenance of the environment is good.

How Acceldata benefits AWS users

Acceldata delivers data health and operational insights with ML-driven automation to help maximize your data investments with predictable costs. Data teams use Acceldata to operationalize data reliability and optimize data platform performance.

Gain Data Insights

Get end-to-end, detailed insights into the reliability of your data in AWS environments

Build Data Trust

Maintain high-quality data across all your AWS data platforms

Scale Data Reliability

Build, at scale, data reliability coverage in an agile manner
Reduce SEV with Acceldata
Track Data Lineage with Acceldata

Identify and rapidly fix critical data incidents

Shift-left problem isolation
Detect problems at the beginning of data pipelines in sources or S3 files to isolate them before they hit the warehouse and affect downstream analytics.
Drill-down
Apply multi-layer data to identify the root cause of incidents and take corrective actions.
Pinpoint the root cause with data lineage
Trace transformation failures and data inaccuracy across data sources, tables, and columns.

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