SQL Server 2019 Big Data Clusters partners

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Applies to: SQL Server (all supported versions)

For support implementing solutions with SQL Server 2019 Big Data Clusters, you can work with partners. This article identifies some Microsoft partners with solutions for big data clusters.

Our partners

Partner	Description	Links
	Dell Technologies provides the essential infrastructure and services you need to build your digital future wherever you are in your digital journey, including data upgrades and migrations, re-platforming to Linux, containerization with Kubernetes, and deploying SQL Server Big Data Clusters. Whether at the edge, on-premises, in the cloud, or in a hybrid cloud model we provide flexible solutions and services aligned to your business and workload needs. From a broad selection of hardware configuration choices to being able to provision devices and manage them from the cloud, we continue to innovate so you can accelerate your digital transformation journey with meaningful data insights and create more business value.	Marketplace Website logo Datasheet Twitter Video Blog
	Enterprise performance for Microsoft SQL Server Our storage solutions deliver worry-free Microsoft SQL Server. Integration enhances copy data management, improves data protection, speeds DevOps, and provides an on-ramp to the cloud.	Website Datasheet Download Evaluation Twitter Video Blog
	NetApp StorageGRID is software-defined object storage. It can be deployed as combinations of software-only, purpose-built appliances, and in virtualized environments. In a single namespace, StorageGRID can scale across multiple data centers located around the world. StorageGRID offers massive S3 object storage with dynamic data management, enabling customers to run next-generation workflows on premises while taking advantage of public cloud resources. The StorageGRID unique data management policy engine ensures optimized levels of performance and durability, and adherence to data locality requirements.	Website Datasheet Twitter Video Docs
	Pure Storage empowers innovation to build a better world with data by delivering a simple, Evergreen™ platform that enables organizations to turn data into intelligence and advantage. Big Data Cluster (BDC) ready, Pure Storage has a highly scalable storage fabric for any Kubernetes compatible container orchestration platform. FlashBlade by Pure is a simple to manage, high performance, storage platform that can be used by SQL Server 2019 Big Data Cluster HDFS tiering, allowing, scaling to petabytes of usable storage and IO bandwidth of the order of tens of gigabytes. The FlashArray and FlashBlade is a match made for Big Data Cluster success.	Website Datasheet Twitter Docs
	StreamSets provides a no-code solution for operating data pipelines for Big Data Clusters: Design and operate continuous data flows with intuitive, visual tools, eliminating the need to know how to code for big data systems Develop complex analytics applications on Apache Spark using an intuitive drag-and-drop user interface Ingest and process data at scale from a wide variety of data sources with native integration into SQL Server and HDFS Accelerate the migration from relational databases, Hadoop clusters, and NoSQL stores into Big Data Clusters	Website Blog Video Documentation
	VMware enables our customers to run both virtualized and containerized SQL Server workloads on a trusted digital foundation empowered by any cloud. Running SQL Server Big Data Clusters on Tanzu is a compelling way to utilize SQL Server to bring high-value relational data and high-volume big data together on a unified, scalable data platform managed by VMware Tanzu portfolio.	Website Datasheet Video Documentation Twitter Blog
	Azure Data Lake Analytics An on-demand analytics job service to power intelligent action Easily develop and run massively parallel data transformation and processing programs in U-SQL, R, Python, and .NET over petabytes of data. With no infrastructure to manage, you can process data on demand, scale instantly, and only pay per job.	Website Datasheet Twitter Blog

Next steps

To learn more about some of our other partners, see High availability, and disaster recovery partners, management partners, and monitoring partners.