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Zettaset Fast-PATH VS Apache Beam

Compare Zettaset Fast-PATH VS Apache Beam and see what are their differences

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Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Zettaset Fast-PATH logo Zettaset Fast-PATH

Speeds Hadoop deployments, improves operational efficiencies, and significantly reduces costly IT support and maintenance requirements MOUNTAIN VIEW, Calif.

Apache Beam logo Apache Beam

Apache Beam provides an advanced unified programming model to implement batch and streaming data processing jobs.
  • Zettaset Fast-PATH Landing page
    Landing page //
    2023-09-16
  • Apache Beam Landing page
    Landing page //
    2022-03-31

Zettaset Fast-PATH videos

No Zettaset Fast-PATH 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 Zettaset Fast-PATH and Apache Beam)

Zettaset Fast-PATH

Apache Beam

Data Dashboard
23 23%
Data Dashboard
77% 77
Big Data
17 17%
Big Data
83% 83
Data Warehousing
35 35%
Data Warehousing
65% 65
Big Data Tools
100 100%
Big Data Tools
0% 0

User comments

Share your experience with using Zettaset Fast-PATH 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.

Zettaset Fast-PATH mentions (0)

We have not tracked any mentions of Zettaset Fast-PATH yet. Tracking of Zettaset Fast-PATH 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 / 4 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 Zettaset Fast-PATH and Apache Beam, you can also consider the following products

Azure HDInsight - Azure HDInsight is a managed Apache Hadoop cloud service that lets you run Apache Spark, Apache Hive, Apache Kafka, Apache HBase, and more.

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

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

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

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

Databricks - Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.‎What is Apache Spark?

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