Cambridge Semantics Announces Semantic Layer For Multi-Cloud Environments
Smart Data Company® offers Smart Data Lake® Solution across Amazon Web Services, Google Cloud Platform, and Microsoft Azure.
Cambridge Semantics has announced multi-cloud support for Anzo Smart Data Lake (SDL) 4.0, its flagship product that brings business meaning to all enterprise data.
Incorporating several new technical advancements designed to deliver a generational shift over current data lake, data management and data analytics offerings, Anzo SDL 4.0 now supports all three major cloud platforms — Google Cloud Platform, Amazon Web Services (AWS) and Microsoft Azure. The vision for multi-cloud capability enabled by Anzo will allow enterprises to choose from any combination of on-premise, hybrid cloud or multi-cloud solutions that makes the most sense for their business environment.
“Organizations today view their data assets as key business drivers for competitive advantage,” said Sean Martin, CTO of Cambridge Semantics. “However, for many, the cost of running analytic solutions is drastically increasing, while speed-to-deployment remains a major challenge. Therefore, we are seeing an accelerated movement to the cloud and its variable cost model.”
As the largest cost center in most enterprise connected data analytics and machine learning programs becomes renting on-demand computing power, many enterprises are actively planning to work with multiple separate cloud vendors to take advantage of the price fluctuations in today’s increasingly commoditized cloud-based computing market, according to Martin.
Cambridge Semantics’ multi-cloud data center model for service-based cloud compute consumption is abstracted and completely automated to eliminate cloud infrastructure provider lock-in as well as securely shift sophisticated consumption of compute resources between the different cloud vendors dynamically to achieve the most competitive pricing at any given moment.
“Our customers want to be able to decide where to place their analytics compute spend globally on an hour-by-hour or even a minute-by-minute basis,” Martin said. “Not only does our open standards-based semantic layer provide business understandable meaning to all enterprise data, but the same metadata driven approach is essential in enabling customers to describe the policies that determine where that data is both securely stored and processed.”
“Cambridge Semantics offers the only semantically-driven smart data lake big data management and connected data analytics solution that entirely insulates enterprises from the different cloud vendor APIs,” Martin said. “It won’t be long before our customers will be able to see multiple vendors quotes for exactly how much the same analytics dashboard is going to cost them to compute before they click the button to select the cloud provider that will get to run that specific job.”