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Pros of Boomerang
Pros of Apache Spark
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    • 56
    • 45
      Fast and Flexible
    • 7
      One platform for every big data problem
    • 6
      Easy to install and to use
    • 6
      Great for distributed SQL like applications
    • 3
      Works well for most Datascience usecases
    • 2
      Machine learning libratimery, Streaming in real
    • 2
      In memory Computation
    • 0
      Interactive Query

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    Cons of Boomerang
    Cons of Apache Spark
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      • 0

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      - No public GitHub repository available -

      What is Boomerang?

      It adds scheduled sending and the easiest, most integrated email reminders to Gmail, helping you reach Inbox Zero.

      What is 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.

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      What companies use Apache Spark?

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      What tools integrate with Apache Spark?

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      Blog Posts

      MySQLKafkaApache Spark+6
      Aug 28 2019 at 3:10AM logo


      PythonJavaAmazon S3+16
      What are some alternatives to Boomerang and Apache Spark?
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      250ok is an email deliverability tools company that produces a Software‐as‐a‐Service (“SaaS”) platform to monitor and measure the deliverability of email networks. These networks consist of companies sending various forms of messages including marketing, transactional, share, and others from various platforms.
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