Why data engineering and data ops teams need data observability

Data pipelines are like supply chains for modern, data-driven enterprises. When data pipelines break, business slows down, or even worse, grinds to a halt. That’s where Acceldata’s Data Observability platform comes in.

Acceldata Data Observability helps you understand the state of your data, and the data systems that transform your data, at any time and point in the data lifecycle.

In other words, we help make sure your data supply chain is optimized and reliable at all times, regardless of data source, technology, or scale.

What is data observability?

Data observability correlates events across the data, compute, and pipeline layers of modern data systems to provide comprehensive visibility into the health and reliability of enterprise data pipelines.

An effective data observability platform identifies problems and explains why they occur. In many cases, data observability tools can predict and automatically fix issues before they impact performance or create unplanned outages, cost overruns, or bad output based on low-quality data.

Download the free guide to learn more about data observability.

Reasons why Acceldata is different

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Designed for data

While traditional application performance monitoring (APM) tools were built to monitor microservices and web applications, Acceldata's data observability platform was designed specifically for today's complex data systems. APM tools don't provide the visibility that is needed to configure, operate, and optimize today’s complex, interconnected data pipelines.

Acceldata’s Data Observability platform correlates events across data, compute, and pipeline layers to help data engineering and ops teams predict and automatically fix issues before they cause unplanned outages, cost overruns, or bad output.

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While many vendors tackle a certain aspect of data observability, only Acceldata provides a comprehensive set of tools to help enterprises understand data, compute, and pipeline health.

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Acceldata simplifies onboarding, tuning, and scaling of new data technologies. Many of our customers have grown operational data volumes by 10x or more since implementing Acceldata.

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Extensive experience building and operating complex data systems

We have been long-time contributors to Apache Ambari and Apache Zeppelin, and led Hortonworks’ effort to improve hybrid data lake and warehouse management with Dataplane. That’s why we understand that enterprises need a comprehensive approach to monitor, manage, and scale data systems that are rapidly growing in complexity, size, and strategic importance.

Who uses Acceldata's Data Observability Platform?

Data Risk

Data engineers and SREs

Data engineers and SREs use Acceldata to improve system reliability and performance. We help data teams prevent incidents, manage processes, and increase data team productivity and data system throughput.

Data Use

Data scientists

Data scientists use Acceldata to ensure data reliability and quality across algorithms, models, features, and sources.

Data Waste

Data architects, strategists, and executives

Data architects, strategists, and executives rely on Acceldata to align business and data strategies, optimize costs, and increase return on data investments.

Ready to start your data observability journey?

Request a demo and chat with one of our experts to explore Acceldata's capabilities.