Gone are the days of traditional data management solutions, now with the escalating demands for precisely accurate and available data in today’s high-volume business environments. According to a report from Gartner, by 2027, at least 40% of organizations will deploy data storage management solutions for classification, insights, and optimization. This is an increase from just 15% of organizations in early 2023. The exponential growth of data, coupled with the need for reducing data storage costs and sharing data across platforms more effectively, presents a formidable challenge for CIOs and Heads of IT.

This challenge is made easier with Apica Flow. Conventional approaches to data management don’t align with modern environments that run observability platforms (such as Splunk and ElasticSearch) across diverse infrastructure including cloud-native technologies (such as Kubernetes) as well as traditional infrastructure (VMware and on-premises legacy infrastructure). Heterogenous environments that span public, private, and multi-cloud are all too common. With so much complexity, enterprises are increasingly facing cost and scalability issues. Storing and managing vast amounts of data can be costprohibitive. Especially if that data is never read, data volumes and tiers do not align with business operational needs, resulting in vendor lock-in and higher data management costs. These escalating costs lead to marginal or negative return on investment (ROI).

The good news is that Apica Flow is a modern data management platform specifically designed to meet the unique- demands of today’s high-volume data environments while reducing the overall cost of ownership.