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Apache Spark for Azure HDInsight VS Apache Beam

Compare Apache Spark for Azure HDInsight VS Apache Beam and see what are their differences

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Apache Spark for Azure HDInsight logo Apache Spark for Azure HDInsight

This article provides an introduction to Spark in HDInsight and the different scenarios in which you can use Spark cluster in HDInsight.

Apache Beam logo Apache Beam

Apache Beam provides an advanced unified programming model to implement batch and streaming data processing jobs.
  • Apache Spark for Azure HDInsight Landing page
    Landing page //
    2023-03-17
  • Apache Beam Landing page
    Landing page //
    2022-03-31

Apache Spark for Azure HDInsight videos

No Apache Spark for Azure HDInsight videos yet. You could help us improve this page by suggesting one.

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Apache Beam videos

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How to Write Batch or Streaming Data Pipelines with Apache Beam in 15 mins with James Malone

More videos:

  • Review - Best practices towards a production-ready pipeline with Apache Beam
  • Review - Streaming data into Apache Beam with Kafka

Category Popularity

0-100% (relative to Apache Spark for Azure HDInsight and Apache Beam)

Apache Spark for Azure HDInsight

Apache Beam

Data Warehousing
49 49%
Data Warehousing
51% 51
Big Data
25 25%
Big Data
75% 75
Data Dashboard
31 31%
Data Dashboard
69% 69
Big Data Tools
100 100%
Big Data Tools
0% 0

User comments

Share your experience with using Apache Spark for Azure HDInsight and Apache Beam. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, Apache Beam seems to be more popular. It has been mentiond 14 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Apache Spark for Azure HDInsight mentions (0)

We have not tracked any mentions of Apache Spark for Azure HDInsight yet. Tracking of Apache Spark for Azure HDInsight recommendations started around Mar 2021.

Apache Beam mentions (14)

  • Ask HN: Does (or why does) anyone use MapReduce anymore?
    The "streaming systems" book answers your question and more: https://www.oreilly.com/library/view/streaming-systems/9781491983867/. It gives you a history of how batch processing started with MapReduce, and how attempts at scaling by moving towards streaming systems gave us all the subsequent frameworks (Spark, Beam, etc.). As for the framework called MapReduce, it isn't used much, but its descendant... - Source: Hacker News / 3 months ago
  • How do Streaming Aggregation Pipelines work?
    Apache Beam is one of many tools that you can use. Source: 5 months ago
  • Real Time Data Infra Stack
    Apache Beam: Streaming framework which can be run on several runner such as Apache Flink and GCP Dataflow. - Source: dev.to / over 1 year ago
  • Google Cloud Reference
    Apache Beam: Batch/streaming data processing 🔗Link. - Source: dev.to / over 1 year ago
  • Composer out of resources - "INFO Task exited with return code Negsignal.SIGKILL"
    What you are looking for is Dataflow. It can be a bit tricky to wrap your head around at first, but I highly suggest leaning into this technology for most of your data engineering needs. It's based on the open source Apache Beam framework that originated at Google. We use an internal version of this system at Google for virtually all of our pipeline tasks, from a few GB, to Exabyte scale systems -- it can do it all. Source: over 1 year ago
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What are some alternatives?

When comparing Apache Spark for Azure HDInsight and Apache Beam, you can also consider the following products

Qubole - Qubole delivers a self-service platform for big aata analytics built on Amazon, Microsoft and Google Clouds.

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

Snowflake - Snowflake is the only data platform built for the cloud for all your data & all your users. Learn more about our purpose-built SQL cloud data warehouse.

Apache Airflow - Airflow is a platform to programmaticaly author, schedule and monitor data pipelines.

Google BigQuery - A fully managed data warehouse for large-scale data analytics.

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

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