Software Alternatives & Reviews

Microsoft Azure HDInsight VS Apache AsterixDB

Compare Microsoft Azure HDInsight VS Apache AsterixDB and see what are their differences

Microsoft Azure HDInsight logo Microsoft Azure HDInsight

Azure HDInsight is an Apache Hadoop distribution powered by the cloud.

Apache AsterixDB logo Apache AsterixDB

Apache AsterixDB is a scalable, open source Big Data Management System.
  • Microsoft Azure HDInsight Landing page
    Landing page //
    2022-10-02
  • Apache AsterixDB Landing page
    Landing page //
    2018-10-02

Microsoft Azure HDInsight videos

Part 1 - Introduction to Microsoft Azure HDInsight

Apache AsterixDB videos

No Apache AsterixDB videos yet. You could help us improve this page by suggesting one.

+ Add video

Category Popularity

0-100% (relative to Microsoft Azure HDInsight and Apache AsterixDB)
Big Data
54 54%
46% 46
Data Dashboard
56 56%
44% 44
Big Data Infrastructure
53 53%
47% 47
Data Management
43 43%
57% 57

User comments

Share your experience with using Microsoft Azure HDInsight and Apache AsterixDB. For example, how are they different and which one is better?
Log in or Post with

What are some alternatives?

When comparing Microsoft Azure HDInsight and Apache AsterixDB, you can also consider the following products

Amazon EMR - Amazon Elastic MapReduce is a web service that makes it easy to quickly process vast amounts of data.

Impala - Impala is a modern, open source, distributed SQL query engine for Apache Hadoop.

RJ Metrics - RJMetrics provides hosted business intelligence & data analysis software to companies that operate online.

SQream - SQream empowers organizations to analyze the full scope of their Massive Data, from terabytes to petabytes, to achieve critical insights which were previously unattainable.

Google Cloud Dataflow - Google Cloud Dataflow is a fully-managed cloud service and programming model for batch and streaming big data processing.

Apache Flume - Apache Flume is a distributed, reliable, and available service for efficiently collecting, aggregating, and moving large amounts of log data