Cloudera has introduced support for the private cloud, which is built on the Red Hat OpenShift platform. The platform now makes uses of Kubernetes container orchestration. This is a move to get some footing in a competitive world.
The Hadoop-shifter sees this as a move to allow customers to run data services from a single platform via the public, private and hybrid clouds, with the benefit of integration. With it, you will be able to funnel data into reporting, analytics and machine learning, powered by desktop systems, data warehouse, enterprise applications and external data sources.
According to Cloudera, the data platform offers the same privacy, security and governance across all cloud instances.
Capturing the held back market
The Chief Product Officer, Arun Murthy, said that extending the environment across cloud instances is a great way to accelerate the time value and ensure that crucial workloads get to meet their SLAs.
If the system works as they say it does, that means the users can manage data in a private cloud and be able to spin up workloads in the public cloud, if they choose to do so, at any moment. Cloudera’s private cloud will be quite appealing to organizations that have not yet fully adopted or made the move to embrace the public cloud model.
Usually, the organizations hold back because of concerns about security, data sovereignty and governance. Other providers of public cloud environments are also aiming for this market. They include Oracle Cloud, AWS Outposts and Azure Stack.
A new competitive landscape
But, even with a game changer like this one, Cloudera could face some struggle as a small component in a broad analytics landscape. It has to compete with cloud-native approaches. Other vendors are already expanding their offerings like Azure Synapse analytics and cloud-native Hadoop products like Amazon EMR and Microsoft HDInsight.
Still, it is going to be interesting to see what Cloudera can do. It looks like Cloudera is looking for ways to accelerate growth since it’s talking to potential buyers to take over the company.
Tip: What the merger of Cloudera and Hortonworks means for data analysts