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.
Prashanth. S
Director, Platform Engineering and Data Operations - Enterprise
Acceldata has been instrumental in enhancing our data platform management capabilities. Their solutions not only ensure platform stability but also drive significant cost savings.
Leverage deep insights throughout your entire process to ensure optimal and performant deployments
Design
Optimize solution design by analyzing designs and workload impact across your entire data stack to maximize quality, performance, and cost metrics.
Scale Data Reliability
Leverage templates, tagging, segmentation, and applying policies to ensure performance meets requirements. Simplify tuning for scale with bottleneck analysis, configuration recommendations, and a simulator to ensure performance meets requirements.
Post-Deployment Data Management
Use real-time insights and alerts to monitor ever-changing workloads and leverage recommendations to tweak configurations on demand.
Predict and prevent data platform incidents with comprehensive monitoring, insights, and automation
Monitoring
Track your data platform's operational health, get real-time alerts on incidents, and use multi-layer data to simplify root cause analysis.
Prediction
Spot early warning signs of future incidents with trend analysis, allowing adjustments to be made before service levels are impacted.
Recommendations
Use configuration recommendations and simulations to right-size deployments for current and future workloads based on performance and cost.
Architects and administrators can use insights to lower costs and maintain efficient platforms
Best Practices
Establish best practices for resource consumption and optimization and use configuration recommendations to maintain these.
Eliminate Waste
Reduce costs without sacrificing performance with automated resource inefficiency detection and recommendations.
Optimize Spend
Efficiently plan and optimize spend by monitoring usage, analyzing consumption, and placing guardrails to prevent runaway use.
New to Data Observability?
Download this 2-pager to quickly learn what it is, how it can help you, and why it's essential today.
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