Data Mechanics, a managed platform provider for big data processing and cloud analytics with offices in Paris, France, has been acquired by NetApp, a global, cloud-led, data-centric software company. Data Mechanics helps businesses leverage Apache Spark, an open-source unified analytics engine for large-scale data processing and machine learning, in Kubernetes. The transaction’s financial details were not revealed.
Use of analytics and machine learning to identify operating efficiencies, cost reductions, and automate manual processes so engineers can focus on more strategic tasks is a top priority – and a strategic imperative – for all enterprises at a time when on-premises and cloud enterprise data and application growth is exploding.
“Now more than ever, our customers are adopting cloud-first and cloud native strategies that will enable them to be more agile and adaptable in the face of unprecedented data growth,” said Anthony Lye, Senior Vice President and General Manager of NetApp’s Public Cloud Services business unit. “Adding Data Mechanics to our existing solutions will make it simpler and more cost-effective for organizations across all industries to fully leverage Apache Spark and Kubernetes to advance their data and cloud initiatives.”
The Data Mechanics acquisition comes less than a year after NetApp acquired Spot (now Spot by NetApp), a leading CloudOps provider that automates and optimizes workloads in public cloud environments. To accelerate the development of NetApp’s recently announced Spot Wave product, Data Mechanics’ staff and IP will be merged with the Spot by NetApp team and portfolio.
Amiram Shachar, Vice President and General Manager of Spot by NetApp, said, “Although there are significant benefits to moving analytics and application workloads to the cloud, managing analytics technologies and cloud infrastructure can be resource and time intensive, impeding employee productivity and return on investment”. “We’re excited to welcome Data Mechanics to Spot by NetApp as we further enable organizations to put their data to work and get even more value from their cloud infrastructure investments.”