Software Alternatives & Reviews

Apache Beam VS Activeeon

Compare Apache Beam VS Activeeon and see what are their differences

Apache Beam logo Apache Beam

Apache Beam provides an advanced unified programming model to implement batch and streaming data processing jobs.

Activeeon logo Activeeon

ProActive Workflows & Scheduling is a java-based cross-platform workflow scheduler and resource manager that is able to run workflow tasks in multiple languages and multiple environments: Windows, Linux, Mac, Unix, etc.
  • Apache Beam Landing page
    Landing page //
    2022-03-31
  • Activeeon Landing page
    Landing page //
    2022-08-19

Apache Beam videos

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

Activeeon videos

Activeeon Training Session 1: General Overview of ProActive software

More videos:

  • Review - Orchestrate Microsoft PRE-BUILT + CUSTOM AI Machine Learning with ActiveEon Workflows
  • Review - Activeeon Training Session 4: Hands on AI, ML, DL, AutoML, Visualization, Python & Jupyter

Category Popularity

0-100% (relative to Apache Beam and Activeeon)
Big Data
100 100%
0% 0
DevOps Tools
0 0%
100% 100
Data Dashboard
100 100%
0% 0
Workflow Automation
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Apache Beam and Activeeon

Apache Beam Reviews

We have no reviews of Apache Beam yet.
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Activeeon Reviews

9 Control-M Alternatives & Competitors In 2023
Activeeon provides user interfaces to create workflows, manage job queues, schedule work, and administer the infrastructure. It gives you a single point for control over your IT and business processes. It includes error management, notification, file handling, connectors, docker support and file handling. It can automate and schedule workloads of any size.

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 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
View more

Activeeon mentions (0)

We have not tracked any mentions of Activeeon yet. Tracking of Activeeon recommendations started around Mar 2021.

What are some alternatives?

When comparing Apache Beam and Activeeon, you can also consider the following products

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

Mesosphere DCOS - Mesosphere DCOS organizes your entire infrastructure as if it was a single computer.

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

Kazuhm - Manage your containerized workloads through Kazuhm's easy to use distributed computing technology. Kazuhm saves cloud costs, improves security and latency.

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

Metaflow - Framework for real-life data science; build, improve, and operate end-to-end workflows.