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Oracle DataRaker VS Apache Beam

Compare Oracle DataRaker VS Apache Beam and see what are their differences

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Contents:
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  2. » Videos
  3. » Reviews
  4. » Alternatives

Oracle DataRaker logo Oracle DataRaker

Oracle DataRaker unlocks smart meter data and transforms it into compelling, quantifiable, and actionable results with low upfront investment and risk.

Apache Beam logo Apache Beam

Apache Beam provides an advanced unified programming model to implement batch and streaming data processing jobs.
  • Oracle DataRaker Landing page
    Landing page //
    2023-02-09
  • Apache Beam Landing page
    Landing page //
    2022-03-31

Oracle DataRaker videos

+ Add

Analyze and predict transformer failure with Oracle DataRaker

Apache Beam videos

+ Add

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 Oracle DataRaker and Apache Beam)

Oracle DataRaker

Apache Beam

Energy And Utilities Vertical Software
100 100%
Energy And Utilities Vertical Software
0% 0
Big Data
0 0%
Big Data
100% 100
Project Management
100 100%
Project Management
0% 0
Data Dashboard
0 0%
Data Dashboard
100% 100

User comments

Share your experience with using Oracle DataRaker 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.

Oracle DataRaker mentions (0)

We have not tracked any mentions of Oracle DataRaker yet. Tracking of Oracle DataRaker 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
View more

What are some alternatives?

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

The PI System - With the PI System, OSIsoft customers have reduced costs, opened new revenue streams, extended equipment life, increased production capacity, and more.

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

ATLAS Energy Monitoring System - AtlasEVO Energy Management & Energy Monitoring Systems. Collect and analyse energy usage data (electric, gas, water etc) from any number of metering points.

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

Utilities Meter Data Management - Oracle's Applications for Meter Data Management helps utilities to support the loading, validation, editing, and estimation (VEE) of meter data.

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

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