Improve data quality, reliability, and performance
Data observability empowers data practitioners with insights to improve data quality, reliability, performance, and efficiency
Leverage a rich set of analytics to simplify and automate data engineering tasks throughout the development lifecycle
Design: Optimize solution design the first time by easily comparing data and technologies to deliver solutions with the best quality, performance, and cost metrics.
Development: Quickly search, explore and validate data sets and let Acceldata automatically generate data quality rules for monitoring post-production.
Deployment: Simplify tuning for scale with bottleneck analysis, configuration recommendations, and a simulator to ensure performance meets requirements.

Site reliability engineers can predict and prevent performance, reliability and quality incidents with comprehensive monitoring, analytics, and automation
Monitoring: Track the health of data and processing with anomaly detection and alerts to ensure issues are identified as quickly as possible. Simplify root cause analysis with insights that correlate metrics across multiple layers, including data, processing, platform and infrastructure.
Prediction: Spot early warning signs of future incidents with trending analysis, allowing adjustments to be made before service levels are impacted.
Prevention: Configure systems to be self-tuning and self-healing with an auto-action framework that includes dozens of runbooks and extension points for custom routines.
Architects and administrators can reduce costs and align to data strategy with insights into utilization patterns, configuration, and spend
Best Practices: Simplify administration and ensure best practices are in place with cost intelligence dashboards, anomaly detection, configuration recommendations, and many other environment analytics.
Identification of Waste: Lower costs without sacrificing performance with automatic detection of resource inefficiencies such as unused data & services, over or
under-sized deployments, configuration mismatches, and other anomalies.Spend Intelligence: Budget owners can efficiently plan and optimize spend by analyzing current and forecasted consumption at a department-level. Monitoring and analysis of usage limit guardrails prevent runaway consumption
and costs.

Ready to start your data observability journey?
Start a free trial or request a demo to begin your
data observability journey.