Struggling to keep up with your organization’s hunger for data? That’s an obstacle that many data teams face when their data stack grows and they don’t have complete control over their complex data pipelines. If that’s a challenge you’re looking to solve, you’re in the right place. Below, we’ve curated our list of the best data observability tools every data team should know about.

With 38% of data teams spending between 20% and 40% of their time fixing data pipelines¹, delivering reliable data to end users can be an expensive activity for data teams. With Kensu’s latest integration with Azure Data Factory, ADF users now benefit from the ability to observe data within their Azure Data Factory pipelines and receive valuable insights into data lineage, schema changes, and data quality metrics.

As data becomes an increasingly important asset for organizations, ensuring its quality and reliability is critical. Data observability is a practice that helps organizations maintain visibility into their data pipelines and quickly identify and resolve any issues that arise.

38% of data teams spend between 20% and 40% of their time fixing data pipelines¹. Combating these data failures is a costly and stressful activity for those looking to deliver reliable data to end users. Organizations using Azure Data Factory can now benefit from the integration with Kensu to expedite this process. Their data teams can now observe data within their Azure Data Factory pipelines and receive valuable insights into data lineage, schema changes, and performance metrics.

Image by vectorjuice on Freepik In today's digital economy, enterprises have to strike the right balance between gaining application and user insights and safeguarding data privacy. With Choreo's feature that derives direct log insights and observability from data planes, organizations can now prioritize enterprise compliance while delivering essential functionality.

At Koyeb, we're working to build the most seamless way to deploy apps to production without worrying about infrastructure. But there's still plenty to keep you busy at the application layer with performance tuning and troubleshooting. That's why we're introducing Metrics — an easy way to monitor and troubleshoot application performance. Deploying on Koyeb makes thinking about infrastructure or orchestration unnecessary.

In today's cloud-centric world, ensuring data quality and reliability on AWS is more crucial than ever. Dive into the best practices for data observability to harness the full potential of your data assets.