HDInsight is an implementation of the Apache Hadoop technology stack on the Microsoft Azure cloud platform: It is based on the Hortonworks Hadoop distribution. Microsoft Azure HDInsight includes implementations of Apache Spark, HBase, Storm, Pig, Hive, Sqoop, Oozie, Ambari, etc.…
3 years of experience1 year of experience1 year of experience2 years of experience2 years of experience
Products that are considered exceptional by their customers based on a variety of criteria win TrustRadius awards. Learn more about the types of TrustRadius awards to make the best purchase decision. More about TrustRadius Awards
| Operating Systems | Unspecified |
|---|---|
| Mobile Application | No |
Integration Capabilities: Users have praised the platform for its seamless integration with Azure Datafactory and Azure Management API, facilitating deployment from powershell, API, ADFv2, and other Azure Resources. This versatile integration enhances workflow efficiency by allowing users to easily access and utilize various Azure tools within the platform.
Cost-Effective Scalability: Reviewers have expressed satisfaction with the platform's cost-effectiveness in creating and deleting dynamically on-demand clusters. By offering a budget-friendly solution for scaling operations as needed, businesses can efficiently manage resources without incurring high costs or unnecessary expenses.
Efficient Data Management: Customers appreciate the platform's efficient data management features that ensure proper organization and accessibility of data. The ability to retrieve data at any time without relying on outdated storage methods like CD/DVDs or Pendrives simplifies workflows and promotes effective data analysis and utilization.
Instability and Cluster Creation Issues: Users have experienced instability for months, encountering various problems such as difficulty controlling resource escalation and costs, unreliable on-demand clusters, and frequent cluster creation failures. These ongoing issues have hindered user workflows and led to frustration with the platform's operational reliability.
Support Team Dissatisfaction: Users expressed dissatisfaction with the support team's performance, highlighting issues with responsiveness and effectiveness, as well as noting concerns about outdated software versions. Some users felt that the lack of timely assistance impacted their overall experience negatively and impeded their ability to address critical issues promptly.
Performance Challenges with Handling Data: Some users faced performance issues when handling large volumes of data, including concerns about cost implications and occasional challenges related to lower bandwidth capabilities. The limitations in handling high data volumes coupled with sporadic bandwidth difficulties have resulted in user frustrations over the system's overall efficiency.
