title	SQL Server Big Data Clusters partners
description	Lists of third-party partners for implementing SQL Server Big Data Clusters.
ms.topic	conceptual
ms.custom	seo-dt-2019
ms.date	11/19/2019
ms.prod	sql
ms.technology
ms.prod_service	database-engine
ms.author	mikeray
author	MikeRayMSFT

SQL Server Big Data Clusters partners

[!INCLUDEappliesto-ss-xxxx-xxxx-xxx-md] For support implementing solutions with SQL Server 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 EMC sells data storage, information security, virtualization, analytics, cloud computing, and other products and services that enable organizations to store, manage, protect, and analyze data.	Marketplace Website 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, as well as adherence to data locality requirements.	Website Datasheet Twitter Video 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
	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