Product Feature Videos

Complex issues require more than just error logging. Acceldata provides analytics to correlate events to quickly get to the root cause. Acceldata provides a rich set of analytics, including event correlation to quickly get to the root cause of complex incidents and reduce overall mean-time-to-resolution (MTTR) from hours to minutes.

Acceldata tracks trends in runtime and resource consumption to calculate a variance score. This helps you go from reactive firefighting to proactive prediction & prevention of issues so there’s no impact on the business.

Acceldata enables data teams to automate self-tuning and self-healing with a suite of out-of-the-box runbooks that can be customized by an organization’s unique conditions.

How can we improve the performance and scale of data processing? Acceldata provides a rich set of performance analytics, including configuration recommendations, simulations, and workload analysis.

Acceldata simplifies the identification and elimination of bottlenecks for complex, distributed processing workloads.

Lower the cost of data infrastructure, on-premise and in the cloud, with insights into capacity, utilization and resource efficiency.

Acceldata automatically flags inefficiencies in data workflows across large, complex environments enabling you to significantly reduce overall resource consumption and cost.

Here are the platforms and technologies supported by Acceldata and how they help with your team’s compute performance monitoring.

Acceldata automatically scans data assets and uses machine learning to generate granular data quality rules that can be reviewed, modified and applied with a few clicks.

Acceldata provides fine-grained controls over how data quality policies get customized, triggered, scored and communicated.

Acceldata makes it easy to reconcile data across diverse sources and targets, even if transformations have occurred in between.

Acceldata can monitor for changes in data structure ("schema drift") and anomalies and trends in data ("data drift") which can break processes, affect ML & AI accuracy, indicate a quality issue, or identify a business concern or opportunity.

Acceldata maintains a data catalog to manage data quality monitoring as well as enable search and discovery. Together these capabilities help drive data democracy and trust.

Acceldata automates many data management tasks, including classification & tagging, data quality rule creation, workflow orchestration, distributed processing and more.

Acceldata provides comprehensive data pipeline monitoring with the ablitity to drill down into performance and quality concerns.