Point-of-sales data, credit card transactions, log files, machine data, security data. Every year, organizations collect and analyze almost unthinkable amounts of raw data. IT leaders, data scientists, and analytics teams are under tremendous pressure to harness, analyze, and leverage this data to maximize its business value.

 

DAS can be a good starting point for some smaller use cases, but data management gets very challenging as the deployment grows in size and expands across locations and multiple clouds. With enterprise-grade NetApp® ONTAP® shared storage, organizations can easily manage their data lifecycle, cloud connectivity, security, performance consistency, and overall costs.

 

With Apache Hadoop and NoSQL databases such as MongoDB, organizations can extract valuable insights from large volumes of diverse data that can’t be analyzed with relational databases. With these insights, people across the enterprise can ask the right questions and get the answers they need to make informed decisions that promote business transformation.

 

However, initial Hadoop and NoSQL database deployments often rely on commodity servers with internal drives, which means that infrastructure resilience and agility issues prevent organizations from realizing the full benefits of their deployment. For example, a single disk failure can degrade performance of the entire cluster. Managing disk replacements is a constant and error-prone endeavor. In addition, triple file replication and failure redistribution models increase network costs and complexity.

NetApp ONTAP Versus DAS for Hadoop and NoSQL: Cost Advantages

Industry analyst IDC interviewed two dozen enterprise customers currently running Hadoop and NoSQL databases (MongoDB, Cassandra, Couchbase, and so on) in production over direct-attached storage (DAS) to gain quantitative and qualitative insights into their deployments and to understand how DAS compares with NetApp ONTAP shared storage. They learned that ONTAP shared storage delivers efficiency and an excellent user experience at a lower TCO for Hadoop and NoSQL deployments. Here are the NetApp cost advantages versus DAS for Hadoop and NoSQL:

 

Hadoop (FAS ONTAP array)

  • ONTAP is 45% less expensive than DAS for initial deployment
  • ONTAP is 54% less expensive than DAS for ongoing costs

NoSQL/MongoDB (AFF ONTAP)

  • ONTAP is 40% less expensive than DAS for initial deployment
  • ONTAP is 44% less expensive than DAS for ongoing costs

For more takeaways from the IDC study, read the white paper “Shared Storage Offers Lower TCO than Direct-Attached Storage for Hadoop and NoSQL Deployments”.

Mike McNamara

Mike McNamara is a senior manager of product and solution marketing at NetApp with over 25 years of storage and data management marketing experience. Before joining NetApp over 10 years ago, Mike worked at Adaptec, EMC and Digital Equipment Corporation. Mike was a key leader driving the launch of the industry’s first unified scale-out storage system (NetApp), iSCSI and SAS storage system (Adaptec), and Fibre Channel storage system (EMC CLARiiON ). In addition to his past role as marketing chairperson for the Fibre Channel Industry Association, he is a member of the Ethernet Technology Summit Conference Advisory Board, a member of the Ethernet Alliance, a regular contributor to industry journals, and a frequent speaker at events.