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Bring a cloudlike experience on premises for your analytics workflows

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Jonathan Wong
Jonathan Wong
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Data queries are not static. They get more complicated, involve more data, and multiply into more queries. And they’re affected by seasonality and peak load times. So, why should your platform be static?

Sure, many organizations speak of the advantages of the public cloud in terms of speed and agility. But many analytical workloads must run on premises for reasons of cost, security, and data governance.

Vertica and NetApp StorageGRID

That’s exactly where the Vertica and NetApp® StorageGRID® solution fits in. Together, we bring a cloudlike architecture on premises and use S3 object storage as a communal way to store large datasets.

Separating compute and storage is a next-generation architecture that offers many advantages—workload isolation, dynamic scaling, hibernating, and reviving. It makes absolute sense for on-premises analytic workloads.

With NetApp StorageGRID and Vertica in Eon mode, analytics teams can deliver fast queries and searches with cloudlike simplicity and efficiency.

NetApp StorageGRID is a software-defined object storage solution that supports industry-standard object APIs such as the Amazon Simple Storage Service (Amazon S3) API. You can create multiple service levels with metadata-driven object lifecycle policies, optimizing durability, protection, performance, cost, and location across multiple geographies. As requirements change, you can adjust policies and realign your data landscape.

Vertica is a unified analytics warehouse built to deliver blazing-fast query performance regardless of scale or concurrency requirements. It’s a highly scalable analytical database that works well in many deployment situations—on premises, on top of a Hadoop or S3 data lake, and in any public cloud. Vertica features powerful SQL-based analytics—and time-series, geospatial, and in-database machine learning capabilities.

Vertica can deploy in Eon mode, an object-store optimized mode that allows you to scale storage and compute independently. This mode provides the elasticity and flexibility to tackle analytic workloads during peak times and hibernate nodes during off-season periods. With StorageGRID, you get a high-performance turnkey S3 endpoint that offers massive scale, availability, and durability. Today, StorageGRID provides up to 640PB in a single grid across 16 sites. Its information lifecycle management (ILM) rules simplify operations and automatically manage your dataset, placing it at the right level of performance.

storage grid flow chart

Instead of troubleshooting complex software, your data scientists and business analyst teams can spend their time analyzing the data to increase business value. Leave out the bottlenecks of having to add storage and maintenance to your analytics platform.

Not only does this solution reduce operational complexity, but it also taps into cloud economics to generate a greater return on investment.

Vertica and NetApp StorageGRID provide:

  • Flexible deployments to meet any analytics workload requirement
  • High-performance object storage to meet next-generation workloads
  • Exabyte-level scaling for capacity-intensive data lakes
  • Intelligent lifecycle management policies to protect the data

Learn more

For more information about the StorageGRID and Vertica solution, check out our solution brief.

Jonathan Wong

Jonathan is a Technical Marketing Engineer specializing in NetApp StorageGRID. His experience focuses on pre-sales, implementations, and performance testing. He has provided training to sales teams and partners, as well co-published many technical reports for StorageGRID. Prior to NetApp, he worked in the network and computer security space and holds a Computer Engineering degree.

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