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Apache Beam vs Apache Oozie

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Apache Beam
180
349
+ 1
14
Apache Oozie
40
75
+ 1
0
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Apache Beam vs Apache Oozie: What are the differences?

What is Apache Beam? A unified programming model. It implements batch and streaming data processing jobs that run on any execution engine. It executes pipelines on multiple execution environments.

What is Apache Oozie? *An open-source workflow scheduling system *. It is a server-based workflow scheduling system to manage Hadoop jobs. Workflows in it are defined as a collection of control flow and action nodes in a directed acyclic graph. Control flow nodes define the beginning and the end of a workflow as well as a mechanism to control the workflow execution path.

Apache Beam and Apache Oozie belong to "Workflow Manager" category of the tech stack.

Eyereturn Marketing, Marin Software, and ZOYI are some of the popular companies that use Apache Oozie, whereas Apache Beam is used by Handshake, Skry, Inc., and Reelevant. Apache Oozie has a broader approval, being mentioned in 8 company stacks & 5 developers stacks; compared to Apache Beam, which is listed in 9 company stacks and 4 developer stacks.

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Pros of Apache Beam
Pros of Apache Oozie
  • 5
    Open-source
  • 5
    Cross-platform
  • 2
    Portable
  • 2
    Unified batch and stream processing
  • 0
    Nhat
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    What is Apache Beam?

    It implements batch and streaming data processing jobs that run on any execution engine. It executes pipelines on multiple execution environments.

    What is Apache Oozie?

    It is a server-based workflow scheduling system to manage Hadoop jobs. Workflows in it are defined as a collection of control flow and action nodes in a directed acyclic graph. Control flow nodes define the beginning and the end of a workflow as well as a mechanism to control the workflow execution path.

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    Jobs that mention Apache Beam and Apache Oozie as a desired skillset
    Software Engineer, Big Data
    Pinterest
    San Francisco, CA, US; , CA, US
    View Job Details
    DreamAirflowApache Flink+9
    Software Engineer, Batch Data Processing
    Pinterest
    San Francisco, CA, US; , CA, US
    View Job Details
    DreamAirflowApache Flink+9
    Robotics Deployment Project Manager
    CBRE
    United States of America South Carolina Moncks Corner
    View Job Details
    GoogleUtilizeRelate+7
    Robotics Deployment Project Manager
    CBRE
    United States of America South Carolina Moncks Corner
    View Job Details
    GoogleUtilizeRelate+7
    Business Intelligence Analyst
    CBRE
    Canada Ontario Toronto
    View Job Details
    Microsoft 365TablesMicrosoft Power Automate+8
    What companies use Apache Beam?
    What companies use Apache Oozie?
    See which teams inside your own company are using Apache Beam or Apache Oozie.
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    What tools integrate with Apache Beam?
    What tools integrate with Apache Oozie?
      No integrations found
      What are some alternatives to Apache Beam and Apache Oozie?
      Apache Spark
      Spark is a fast and general processing engine compatible with Hadoop data. It can run in Hadoop clusters through YARN or Spark's standalone mode, and it can process data in HDFS, HBase, Cassandra, Hive, and any Hadoop InputFormat. It is designed to perform both batch processing (similar to MapReduce) and new workloads like streaming, interactive queries, and machine learning.
      Kafka Streams
      It is a client library for building applications and microservices, where the input and output data are stored in Kafka clusters. It combines the simplicity of writing and deploying standard Java and Scala applications on the client side with the benefits of Kafka's server-side cluster technology.
      Kafka
      Kafka is a distributed, partitioned, replicated commit log service. It provides the functionality of a messaging system, but with a unique design.
      Airflow
      Use Airflow to author workflows as directed acyclic graphs (DAGs) of tasks. The Airflow scheduler executes your tasks on an array of workers while following the specified dependencies. Rich command lines utilities makes performing complex surgeries on DAGs a snap. The rich user interface makes it easy to visualize pipelines running in production, monitor progress and troubleshoot issues when needed.
      Google Cloud Dataflow
      Google Cloud Dataflow is a unified programming model and a managed service for developing and executing a wide range of data processing patterns including ETL, batch computation, and continuous computation. Cloud Dataflow frees you from operational tasks like resource management and performance optimization.
      See all alternatives

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