Amazon Kinesis Firehose vs AWS Data Pipeline vs Yola

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Amazon Kinesis Firehose

234
185
+ 1
0
AWS Data Pipeline

95
396
+ 1
1
Yola

8
21
+ 1
0
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Pros of Amazon Kinesis Firehose
Pros of AWS Data Pipeline
Pros of Yola
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      What is Amazon Kinesis Firehose?

      Amazon Kinesis Firehose is the easiest way to load streaming data into AWS. It can capture and automatically load streaming data into Amazon S3 and Amazon Redshift, enabling near real-time analytics with existing business intelligence tools and dashboards you’re already using today.

      What is AWS Data Pipeline?

      AWS Data Pipeline is a web service that provides a simple management system for data-driven workflows. Using AWS Data Pipeline, you define a pipeline composed of the “data sources” that contain your data, the “activities” or business logic such as EMR jobs or SQL queries, and the “schedule” on which your business logic executes. For example, you could define a job that, every hour, runs an Amazon Elastic MapReduce (Amazon EMR)–based analysis on that hour’s Amazon Simple Storage Service (Amazon S3) log data, loads the results into a relational database for future lookup, and then automatically sends you a daily summary email.

      What is Yola?

      Yola (formerly known as Synthasite) is a browser based Ajax website creator with an extra collaboration enabling feature. Yola lets you create your own website with WYSIWYG editing and drag and drop multimedia features. There are also drag and drop HTML and plain text fields, labels and images. Yola also offers file management, component libraries, template libraries and hosting.

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      What companies use Amazon Kinesis Firehose?
      What companies use AWS Data Pipeline?
      What companies use Yola?

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      What tools integrate with Amazon Kinesis Firehose?
      What tools integrate with AWS Data Pipeline?
      What tools integrate with Yola?
        No integrations found

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        What are some alternatives to Amazon Kinesis Firehose, AWS Data Pipeline, and Yola?
        Stream
        Stream allows you to build scalable feeds, activity streams, and chat. Stream’s simple, yet powerful API’s and SDKs are used by some of the largest and most popular applications for feeds and chat. SDKs available for most popular languages.
        Kafka
        Kafka is a distributed, partitioned, replicated commit log service. It provides the functionality of a messaging system, but with a unique design.
        Amazon Kinesis
        Amazon Kinesis can collect and process hundreds of gigabytes of data per second from hundreds of thousands of sources, allowing you to easily write applications that process information in real-time, from sources such as web site click-streams, marketing and financial information, manufacturing instrumentation and social media, and operational logs and metering data.
        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