What is Azure HDInsight?
It is a cloud-based service from Microsoft for big data analytics that helps organizations process large amounts of streaming or historical data.
Azure HDInsight is a tool in the Big Data as a Service category of a tech stack.
Who uses Azure HDInsight?
Companies
6 companies reportedly use Azure HDInsight in their tech stacks, including Awin, Gaming, and Conigital.
Developers
24 developers on StackShare have stated that they use Azure HDInsight.
Azure HDInsight Integrations
Visual Studio Code, IntelliJ IDEA, Kafka, Apache Spark, and Hadoop are some of the popular tools that integrate with Azure HDInsight. Here's a list of all 10 tools that integrate with Azure HDInsight.
Azure HDInsight's Features
- Fully managed
- Full-spectrum
- Open-source analytics service in the cloud for enterprises
Azure HDInsight Alternatives & Comparisons
What are some alternatives to Azure HDInsight?
Amazon EMR
It is used in a variety of applications, including log analysis, data warehousing, machine learning, financial analysis, scientific simulation, and bioinformatics.
Azure Databricks
Accelerate big data analytics and artificial intelligence (AI) solutions with Azure Databricks, a fast, easy and collaborative Apache Spark–based analytics service.
Hadoop
The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage.
Azure Machine Learning
Azure Machine Learning is a fully-managed cloud service that enables data scientists and developers to efficiently embed predictive analytics into their applications, helping organizations use massive data sets and bring all the benefits of the cloud to machine learning.
Azure Data Factory
It is a service designed to allow developers to integrate disparate data sources. It is a platform somewhat like SSIS in the cloud to manage the data you have both on-prem and in the cloud.
