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 Tools category of a tech stack.
Who uses Azure HDInsight?
3 companies reportedly use Azure HDInsight in their tech stacks, including Gaming, Alpha Vertex, and Conigital.
Azure HDInsight Integrations
Kafka, Hadoop, Apache Hive, Azure Data Factory, and IntelliJ IDEA are some of the popular tools that integrate with Azure HDInsight. Here's a list of all 10 tools that integrate with Azure HDInsight.
Why developers like Azure HDInsight?
Here’s a list of reasons why companies and developers use Azure HDInsight
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Azure HDInsight's Features
- Fully managed
- Open-source analytics service in the cloud for enterprises
Azure HDInsight Alternatives & Comparisons
What are some alternatives to Azure HDInsight?
See all alternatives
It is used in a variety of applications, including log analysis, data warehousing, machine learning, financial analysis, scientific simulation, and bioinformatics.
Accelerate big data analytics and artificial intelligence (AI) solutions with Azure Databricks, a fast, easy and collaborative Apache Spark–based analytics service.
Spark is a fast and general processing engine compatible with Hadoop data. It can run in Hadoop clusters through YARN or Spark's standalone mode, and it can process data in HDFS, HBase, Cassandra, Hive, and any Hadoop InputFormat. It is designed to perform both batch processing (similar to MapReduce) and new workloads like streaming, interactive queries, and machine learning.
It is optimized for data sets ranging from a few hundred gigabytes to a petabyte or more and costs less than $1,000 per terabyte per year, a tenth the cost of most traditional data warehousing solutions.
Run super-fast, SQL-like queries against terabytes of data in seconds, using the processing power of Google's infrastructure. Load data with ease. Bulk load your data using Google Cloud Storage or stream it in. Easy access. Access BigQuery by using a browser tool, a command-line tool, or by making calls to the BigQuery REST API with client libraries such as Java, PHP or Python.