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Qubole vs Azure HDInsight: What are the differences?
Developers describe Qubole as "Prepare, integrate and explore Big Data in the cloud (Hive, MapReduce, Pig, Presto, Spark and Sqoop)". Qubole is a cloud based service that makes big data easy for analysts and data engineers. On the other hand, Azure HDInsight is detailed as "A cloud-based service from Microsoft for big data analytics". It is a cloud-based service from Microsoft for big data analytics that helps organizations process large amounts of streaming or historical data.
Qubole and Azure HDInsight belong to "Big Data as a Service" category of the tech stack.
Some of the features offered by Qubole are:
- Intuitive GUI
- Optimized Hive
- Improved S3 Performance
On the other hand, Azure HDInsight provides the following key features:
- Fully managed
- Full-spectrum
- Open-source analytics service in the cloud for enterprises
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Pros of Azure HDInsight
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Pros of Qubole
- Simple UI and autoscaling clusters13
- Feature to use AWS Spot pricing10
- Optimized Spark, Hive, Presto, Hadoop 2, HBase clusters7
- Real-time data insights through Spark Notebook7
- Hyper elastic and scalable6
- Easy to manage costs6
- Easy to configure, deploy, and run Hadoop clusters6
- Backed by Amazon4
- Gracefully Scale up & down with zero human intervention4
- All-in-one platform2
- Backed by Azure2
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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.
What is Qubole?
Qubole is a cloud based service that makes big data easy for analysts and data engineers.
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Jobs that mention Azure HDInsight and Qubole as a desired skillset
What companies use Azure HDInsight?
What companies use Qubole?
What companies use Azure HDInsight?
What companies use Qubole?
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What tools integrate with Azure HDInsight?
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What tools integrate with Azure HDInsight?
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What are some alternatives to Azure HDInsight and Qubole?
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.