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Seamlessly upload your data to Amazon Redshift or from Heroku, and extract business intelligence
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What is FlyData?

FlyData for Amazon Redshift allows you to transfer your data easily and securely to Amazon Redshift. Getting your data onto Amazon Redshift and keeping it up-to-date can be a real hassle. With FlyData for Amazon Redshift, you can automatically upload and migrate your data to Amazon Redshift, after only a few simple steps.
FlyData is a tool in the Data Transfer category of a tech stack.

Who uses FlyData?

FlyData Integrations

FlyData's Features

  • We support four data formats for uploading data to Amazon Redshift: JSON, CSV, TSV, and APACHE logs
  • FlyData sends your data to Amazon Redshift every 5 minutes. This process is automated, so once the setup is complete, your data on Amazon Redshift will be up-to-date.
  • FlyData for Heroku will backup all of your logs onto your Amazon S3 bucket, just by adding the FlyData add-on to your application and setting configurations to your S3 bucket.

FlyData Alternatives & Comparisons

What are some alternatives to FlyData?
It is an elegant and simple HTTP library for Python, built for human beings. It allows you to send HTTP/1.1 requests extremely easily. There’s no need to manually add query strings to your URLs, or to form-encode your POST data.
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.
It is an open-source bulk data loader that helps data transfer between various databases, storages, file formats, and cloud services.
Google BigQuery Data Transfer Service
BigQuery Data Transfer Service lets you focus your efforts on analyzing your data. You can setup a data transfer with a few clicks. Your analytics team can lay the foundation for a data warehouse without writing a single line of code.
It's focus is on performance; specifically, end-user perceived latency, network and server resource usage.
See all alternatives

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