Acceldata Wins InfoWorld’s 2023 Technology of the Year Award
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For Data Practitioners

Improve data quality, reliability, and performance

Data observability empowers data practitioners with insights to improve data quality, reliability, performance, and efficiency.

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Leverage a rich set of analytics to simplify and automate data engineering tasks

Data Quality Automation:
Use data profiling, recommendations, and automation to quickly establish data quality policies without writing code.
Scale Data Reliability:
Leverage templates, tagging, and applying policies in bulk to scale out data reliability efforts and coverage.
Continuous Monitoring:
Use comprehensive dashboards, detailed insights, and real-time alerts to fix incidents swiftly and prevent future outages.

Predict and prevent data reliability and performance incidents

Monitoring:
Monitor and track data health to ensure issues are identified and addressed rapidly. Simplify root cause analysis with insights that correlate metrics across data, pipelines, infrastructure, and user layers.
Prediction:
Spot early warning signs of future incidents with trending analysis, allowing adjustments to be made before service levels are impacted.
Prevention:
Use workload analysis, recommendations, and simulations to ensure your platforms are always right-sized to meet requirements to prevent data issues.

PhonePe uses Acceldata to scale open-source data platform by 10x

Ready to start your
data observability journey?