HDInsight
Provision cloud Hadoop, Spark, R Server, HBase, and Storm clusters
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Pros
- Open source big data
- Legacy workloads
- Existing Hadoop skills
- Managed service
- Portability between clouds and on-prem
- Data Factory integration
- Flexible compute options (VMs)
- Customizable clusters
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Cons
- Decline in Hadoop adoption
- Relatively high operational / admin costs
- Steep learning curve
- No consumption-based SKUs
Read our blog posts about HDInsight
![AWS vs Azure vs Google Cloud Platform - Analytics & Big Data](https://res.cloudinary.com/endjin/image/upload/f_auto/q_80/assets/images/blog/2016/08/header-AnalyticsBigData-P1-1024px.png)
AWS vs Azure vs Google Cloud Platform - Analytics & Big Data
![Embracing Disruption - Financial Services and the Microsoft Cloud](https://res.cloudinary.com/endjin/image/upload/f_auto/q_80/assets/images/blog/2016/02/CTISLVWW4AAzCt1.png)
Embracing Disruption - Financial Services and the Microsoft Cloud
![Spinning up 16,000 A1 Virtual Machines on Azure Batch](https://res.cloudinary.com/endjin/image/upload/f_auto/q_80/assets/images/blog/2015/07/header-spinning-up-16000-a1-virtual-machines-on-azure-batch.png)