Make your migration to Shopify GraphQL easy with DataChannel

A detailed comparison of DataChannel with othe popular ETL & Reverse ETL Tools

Harness the Power of Amazon Advertising Reports with DataChannel

Amazon Ads Analytics for Measuring and Improving Your Ad Campaigns

The Top 9 Data Orchestration Tools of 2025

Build Your Own Event-driven Architecture using AWS Lambda & DataChannel and unlock multiple business-specific use cases

Leverage DataChannel to export your Mailchimp's campaign data with ease

Ensure Data-driven success with Blinkit & DataChannel

Your Guide to leveraging Flipkart Seller Analytics using DataChannel

Leverage DataChannel And AWS Lambda Function together to build an event-driven architecture

Leverage MGID & DataChannel to streamline your Advertising data aggregation

Sellers can access all of their order data using our integration with Myntra

Shopify (GraphQL) & DataChannel for Custom Queries and Efficient Data Management

Adtraction and DataChannel to scale your Performance Marketing Efforts 

Leverage Dukaan and DataChannel together to grow your Ecommerce business with ease

Leverage Asana and DataChannel together to scale Project and Workflow Management

Use Netsuite & DataChannel to retrieve relevant 'object' data

Leverage DataChannel & Zoho Books together to build your centralized Accounting foundation easily

UpScriptHealth and DataChannel for easy tele medication and Healthcare Analytics

DataChannel introduces Tableau and Power BI Nodes in Data Orchestration

Export MongoDB data into any user determined data warehouse via DataChannel

ELT data from Everflow to any data warehouse of your choice with DataChannel

Leverage Walmart Ads & DataChannel together to optimize your performance on the marketplace easily

Leverage First-Party data to refine your audience segmentation with DataChannel to navigate the era of cookie-less marketing efficiently.

Leverage DataChannel to easily get your eBay seller data

Azure Blob Storage helps you create data lakes that provide you with scalable, cost-efficient ways of storing petabytes of unstructured data

The Selling Partner API enables Amazon Partners to receive notifications about unique and business-relevant updates.

Programmatically retrieve order information for both Amazon Sellers & Vendors to improve efficiency & boost growth

Keepa is your go-to destination for monitoring, tracking the price histories, and set up personalized price drop alerts for different products available on Amazon

Integrating Google Ad Manager with DataChannel empowers businesses to leverage their advertising data, manage ad inventory & analytics effectively.

Harnessing the synergy between Instagram and DataChannel empowers businesses to extract insights and data for analysis, reporting, and informed decision-making

It is a cloud-based digital asset management platform that makes creating & sharing data pretty simple as relational databases, improving accessibility across a wide range of users.

ActiveCampaign is a cloud application that redefines customer intelligence, and automates triggers & processes to improve individual customer experiences

YouTube Reporting API enables you to fetch bulk data reports that contain your Youtube Analytics data for different channel and content owners.

YouTube Analytics is a versatile solution that empowers content and channel owners with in-depth insights into the performance of their videos and channels.

Learn how Amazon Sellers can prepare for Amazon's new feature updates with DataChannel.

Leverage data that drives conversions and sale before, during, and after Amazon Prime Day 2024

MarTech is used to describe the tools, and technology that marketers utilize to coordinate and automate marketing initiatives, campaigns, and consumer engagement.

MoEngage, a customer engagement platform, can help you create an omnichannel strategy and get your message delivered to the right customer across multiple channels.

With digital data collection, there is more and more health care data to be analysed every second.

Find out all about the key differences between Amazon Seller Central and Vendor Central.

Adoption of AI is going to be both essential and inevitable for ecommerce

Leverage the power of holistic ad insights and analytics using Amazon Marketing Cloud (AMC)

Learn about unlocking the true potential of your ad campaigns with Amazon DSP

In this article we will learn how to leverage the Amazon DSP data using DataChannel to optimize your campaign performance and increase your return on ad spend (ROAS)

Automated Machine Learning can be leveraged to facilitate easy accessibility of Business Intelligent & Analytical insights to non-tech people with the right tools.

Effective data analysis provides you with actionable insights which can be used to make better decisions that will shape the future of your business.

Automated Machine Learning has become an integral part of organizations as it helps the data scientists to automate the repetitive processes of selecting the right model and optimizing it.

Google Data Studio offers around 370 community connectors and enables direct connections with any internet-accessible data source to provide unique reporting experience.

Marketing campaigns are starting out to be hyper personalized. This results in data-driven strategies, which inculcates efficiencies in organizations throughout the globe.

Personalized marketing is the new go-to for every D2C enterprise. But how to personalize data within marketing campaigns? Read more to find out.

In today's time the usability and adoption of AI have seen drastic growth, and this is the reason why the data-driven industrial sector is working hard to make AutoML more advanced and innovative.

In this blog we will talk about 7 must-have metrics for every SaaS marketer to drive growth and to help you evaluate the performance of marketing campaigns

With changing expectations and needs of customers the need for data-driven marketing is increasing too. The marketers thus, also need to fine-tune data available for better marketing.

Analyzing data from eCommerce platforms can often be cumbersome. Understanding customer data is key to improving your RoI.

Automated Machine Learning (AutoML) automates the process of applying machine learning to real-world problems. But it can not used to automate all the data science tasks.

With an exponential rise in Machine Learning and AI, automations are helping increase efficiency in data integration processes.

Learn how to leverage your Amazon Marketing Cloud data by aggregating it in a data warehouse using DataChannel to better understand your customers’ buying journey.

In this article, we will talk about reporting in Zoho Analytics and how DataChannel can build data pipelines to make the insights generated on Zoho Analytics more powerful.

Learn how you can move Unicommerce data to a data warehouse of your choice and what data can be aggregated and leveraged using this API.

Machine learning helps in building systems that can create models by recognizing patterns from historical data so that they can be used in real-time without having to construct any codes.

The social media ecosystem has a lot to offer to a business, and with the right tools a business can can create a social media performance report and measure the KPIs easily.

Today’s healthcare professionals are not facing issues with the volumes of data but with making its best use. That's where AutoML comes into picture for providing better insights to them.

To derive actionable insights from their business data organizations resort to ETL tools. In this blog we will present the list of best ETL tools for your business needs.

In today's times it does not matter in which field you are doing business, Automated Machine Learning is the methodology you will require to extract and handle your invaluable resources.

Automated Machine Learning can help data scientists and analysts in lowering their dependency on intuition by trying out an algorithm, scoring, testing, and refining other models.

Manual data collection becomes difficult as data needs and volume start increasing. Thus, automated data management becomes crucial to save time & energy too.

Data warehouses play a crucial part in eradicating data silos. It helps in aggregating data from various platforms, essentially removing data silos.

Marketers need to use the right reporting tools that not only help in gaining better understanding of the marketing reports but also increase productivity & perform accurate analysis.

Amazon Redshift is one of the most popular data warehouses. Read more on how DataChannel integrates with AWS Redshift to bring scalable data to your fingertips.

Every SaaS product needs a comprehensive marketing plan comprising of these 5 crucial metrics to Establish, Calculate, Track, and Revise the KPIs.

In this blog we will talk about what all considerations you need to keep in mind while formulating a successful data migration strategy.

Marketing Analytics is the process of integration and the study of data generated through marketing campaigns but sometimes challenges can hinder that process.

Every business, irrespective of its size and domain, is turning digital. Thus, need for a versatile analytical tool arises which keeps track of the data from multiple sources and also enables the user to gather meaningful & granular insights.

ETL vs ELT : the main difference between the two methods is that ETL includes a staging area for implementing data transformation.

The introduction of automated tools and deep feature synthesis has helped in the automatic creation of features between sets of relational data.

ETL is a three-step process to carry out the process of data integration from source to destination. The steps are Data Extraction, Data Transformation, and Data Loading.

A process in which information is gathered, compiled as required, and expressed together with the purpose of preparing combined datasets for data processing.

Integarte multiple APIs & data sources in an unified ETL & reverse ETL platform using DataChannel.

Data needs to be precisely integrated into a common platform, known as a data warehouse, where it can be transformed to drive meaningful information.

When it comes to dealing with big data sets, data redundancy can be a major challenge. With DataChannel’s data integration solution, you can automate the process of data cleaning.

By aggregating the data of numerous similar medical cases, medical experts can come with more effective treatment methods to accelerate the overall healthcare facility.