Software Alternatives & Reviews

Apache Beam VS Oracle Big Data

Compare Apache Beam VS Oracle Big Data 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.

Oracle Big Data logo Oracle Big Data

Oracle Big Data offers solutions to help organize and analyze diverse data sources alongside existing data.
  • Apache Beam Landing page
    Landing page //
    2022-03-31
  • Oracle Big Data Landing page
    Landing page //
    2022-10-12

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

Oracle Big Data videos

Overview of Oracle Big Data Cloud Service by Mandeep Kaur Sandhu

More videos:

  • Review - Part 1: Oracle Big Data SQL
  • Review - Oracle Big Data Cloud Service - English

Category Popularity

0-100% (relative to Apache Beam and Oracle Big Data)
Big Data
76 76%
24% 24
Data Dashboard
64 64%
36% 36
Data Warehousing
100 100%
0% 0
Big Data Tools
0 0%
100% 100

User comments

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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 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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Oracle Big Data mentions (0)

We have not tracked any mentions of Oracle Big Data yet. Tracking of Oracle Big Data recommendations started around Mar 2021.

What are some alternatives?

When comparing Apache Beam and Oracle Big Data, 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.

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

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

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

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

Presto DB - Distributed SQL Query Engine for Big Data (by Facebook)