Digital transformations are difficult. Those in the process of digital transformation need a multidimensional view of their data so they can understand and manage performance, reliability, as well as cost.
Data observability ensures reliable data, smooth and efficient operations, and productive data engineers. Make existing data discoverable, identify and eliminate dark and redundant data, and shift cold data to low-cost storage.
Use multidimensional data observability to optimize cost and performance of on-premises and cloud-native environments. 360-degree views provide comprehensive visibility to help teams deliver data that is reliable, current, and trusted. Reduce technology overhead and ensure data investment supports revenue growth and business objectives.
Uni-dimensional data monitoring can leave data engineers drowning in alerts. Acceldata uses machine learning and advanced analytics to correlate events–new and historical–across data, compute, and pipeline layers.
Our smart platform prioritizes anomalies that jeopardize performance and suggests remediations to fix problems with a single click — or prevent them from occurring altogether. Simple data monitoring can’t do that.
Modern data architectures are a complex mix of on-premises and cloud services. Identifying and isolating issues is more challenging than ever. Without the right level of visibility, it’s impossible to detect data-related issues that can impact the business.
Multidimensional data observability helps isolate root cause and fix problems fast. Customers such as PhonePe and TrueDigital completely eliminated unplanned outages and Sev 1 issues for more than a year after deploying Acceldata.
"Acceldata provided the data observability tools and expertise to improve our data pipeline reliability. They helped us optimize HDFS performance, consolidate Kafka clusters, and reduce cost per ad impression, which is one of the most critical performance metrics.”
"Acceldata’s tools fixed our analytics pipeline issues, improved visibility into our data systems, and recommended ways to scale and optimize our systems to meet future requirements. They helped True Digital transition to open-source technologies, allowing us to reduce licensing costs, while delivering mission-critical analytics across the enterprise.”