That’s what AtScale looks to change with the latest unveiling of their latest 5.5 update.
“Historically, data stored in data lakes goes unused because the organization has not figured out a way to match the performance, security or business tool integration they created with their legacy system,” says Matt Baird, CTO and co-founder at AtScale. “When they deploy AtScale, customers not only get better performance than traditional systems, they can do it on unlimited data and seamless end-user experience.”
Beyond the need to make their data lakes perform like traditional MPP databases with limitless data, enterprises are looking to mitigate their Big Data risks across on-premises or cloud deployments. Enterprises that have heavily invested in one particular data platform delivery mode are wary of what’s called “lock-in” (an excessive investment with one vendor or one type of technology, which can reduce an enterprise’s agility and competitive advantage).
