REDWOOD CITY, Calif.--(BUSINESS WIRE)--Riverbed, the leader in AIOps for observability, today announced a major expansion of the Riverbed Platform—delivering a bold set of AI-powered observability ...

digna has released version 2026.04 of its data quality and observability platform, introducing enhanced time-series analytics ...

Cincinnati, Ohio-based Pantomath, a data observability and traceability platform, today announced it raised $14 million in a Series A round led by Sierra Ventures with participation from Bowery ...

Dynatrace Data Observability enables business analytics, data science, DevOps, SRE, security, and other teams to help ensure all data in the Dynatrace® platform is high quality. This complements the ...

Riverbed, the leader in AIOps for observability, today announced that it has been selected as winner of the "Data Observability Platform of the Year" award in the 7 th annual Data Breakthrough Awards ...

As organizations produce more data, their ability to build and maintain trust with customers relies on their ability to ensure the highest data quality, completeness and freshness. For this, mature ...

Data observability startup Acceldata today announced that it raised $10 million in an extension to its Series C round, bringing its total raised to over $100 million. New investor Prosperty7 Ventures ...

Enterprises today face unprecedented challenges in managing the complexity of their data ecosystems. Traditional data monitoring focuses on infrastructure but fails to provide visibility into the data ...

Examining the next evolution of data observability, experts from Astronomer joined DBTA's webinar, Best Practices for Data Observability and Reliable Apache Airflow Pipelines, armed with valuable ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More As the demand for generative AI assistants continues to grow, vendors ...

Data quality is paramount for today’s digitized enterprises, but managing large, disparate information sources remains a significant challenge. Add to that the need for data observability and ...

In today's data-driven world, unreliable pipelines lead to broken dashboards, late reports, and untrustworthy analytics. Data Engineers face increasing pressure to ensure their data pipelines deliver ...