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Coupler.io

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PieSync vs Coupler.io: What are the differences?

Developers describe PieSync as "A true customer data sync". A cloud-based solution engineered to fill the gaps between cloud applications. The software utilizes Intelligent 2-way Contact Sync technology to sync contacts in real-time between your favorite CRM and marketing apps. On the other hand, Coupler.io is detailed as "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. .

PieSync and Coupler.io belong to "Data Transfer" category of the tech stack.

Some of the features offered by PieSync are:

  • Sync any app
  • Real-time and two syncing
  • Custom mapping

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.
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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.

What is PieSync?

A cloud-based solution engineered to fill the gaps between cloud applications. The software utilizes Intelligent 2-way Contact Sync technology to sync contacts in real-time between your favorite CRM and marketing apps.

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What are some alternatives to Coupler.io and PieSync?
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.
Embulk
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.
NPOI
It is a .NET library that can read/write Office formats without Microsoft Office installed. No COM+, no interop.
Resilio
It offers the industry leading data synchronization tool. Trusted by millions of users and thousands of companies across the globe. Resilient, fast and scalable p2p file sync software for enterprises and individuals.
See all alternatives