AWS Data Pipeline vs Coupler.io

Need advice about which tool to choose?Ask the StackShare community!

AWS Data Pipeline

84
321
+ 1
1
Coupler.io

0
3
+ 1
0
Add tool

AWS Data Pipeline vs Coupler.io: What are the differences?

What is AWS Data Pipeline? Process and move data between different AWS compute and storage services. 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 Coupler.io? Pull your data from various apps straight to Google Sheets. Automate data flow and streamline business processes. It pulls your data from Airtable, Xero, HubSpot, Jira and other apps to Google Sheets on a set schedule with no coding required We created the product to help entrepreneurs and small business representatives automatically extract their data from various apps and load it to Google Sheets. .

AWS Data Pipeline and Coupler.io can be primarily classified as "Data Transfer" tools.

Some of the features offered by AWS Data Pipeline are:

  • You can find (and use) a variety of popular AWS Data Pipeline tasks in the AWS Management Console’s template section.
  • Hourly analysis of Amazon S3‐based log data
  • Daily replication of AmazonDynamoDB data to Amazon S3

On the other hand, Coupler.io provides the following key features:

  • Gives a live feed of raw data in a simple format, allowing you to easily access, share and analyze it
  • It supports automatic data refreshes
  • The add-on offers replace (rewrites all) and append (adds new rows only) import modes.
Get Advice from developers at your company using Private StackShare. Sign up for Private StackShare.
Learn More
Pros of AWS Data Pipeline
Pros of Coupler.io
  • 1
    Easy to create DAG and execute it
    Be the first to leave a pro

    Sign up to add or upvote prosMake informed product decisions

    Sign up to add or upvote consMake informed product decisions

    No Stats

    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 Coupler.io?

    Automate data flow and streamline business processes. It pulls your data from Airtable, Xero, HubSpot, Jira and other apps to Google Sheets on a set schedule with no coding required. We created the product to help entrepreneurs and small business representatives automatically extract their data from various apps and load it to Google Sheets.

    Need advice about which tool to choose?Ask the StackShare community!

    What companies use AWS Data Pipeline?
    What companies use Coupler.io?
      No companies found
      See which teams inside your own company are using AWS Data Pipeline or Coupler.io.
      Sign up for Private StackShareLearn More

      Sign up to get full access to all the companiesMake informed product decisions

      What tools integrate with AWS Data Pipeline?
      What tools integrate with Coupler.io?

      Sign up to get full access to all the tool integrationsMake informed product decisions

      What are some alternatives to AWS Data Pipeline and Coupler.io?
      AWS Glue
      A fully managed extract, transform, and load (ETL) service that makes it easy for customers to prepare and load their data for analytics.
      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.
      AWS Step Functions
      AWS Step Functions makes it easy to coordinate the components of distributed applications and microservices using visual workflows. Building applications from individual components that each perform a discrete function lets you scale and change applications quickly.
      Apache NiFi
      An easy to use, powerful, and reliable system to process and distribute data. It supports powerful and scalable directed graphs of data routing, transformation, and system mediation logic.
      AWS Batch
      It enables developers, scientists, and engineers to easily and efficiently run hundreds of thousands of batch computing jobs on AWS. It dynamically provisions the optimal quantity and type of compute resources (e.g., CPU or memory optimized instances) based on the volume and specific resource requirements of the batch jobs submitted.
      See all alternatives