Aug 16, 2022

Stitch vs. Supermetrics: a comparison guide

12-MINUTE READ | By Isha Shinde

Supermetrics vs

[ Updated Aug 1, 2023 ]

Are you looking for a data pipeline solution? Or are you using Stitch and trying to figure out alternatives? Then this article might be what you’re looking for.

This article will look at a few aspects like features, integrations, security, and pricing plans to compare Stitch with Supermetrics.

Before a deeper comparison, let’s first look at a basic overview.

Supermetrics overview

Supermetrics streamlines the delivery of data from 100+ sales and marketing platforms into the reporting and analytics tools marketers already use.

Supermetrics does not store any of the transferred data on its servers. It simply moves data from all your data sources, including Google Analytics, Facebook, Shopify, HubSpot, and Salesforce, into destinations like Google Sheets, Excel, and Google Data Studio and data warehouses like Redshift, Snowflake, and BigQuery.

Once there, you can analyze the extracted data you want and build custom marketing reports for your clients, management team, or yourself.

Stitch overview

Stitch is a solution based on an open-source connectors tool, similar to Supermetrics—it gives data integrations from various channels.

The main difference between Supermetrics and Stitch is that Stitch does not support moving data to Google Sheets, Data Studio, or Excel. They primarily focus on data warehouses and data lakes. Another difference between Supermetrics and Stitch is that Stitch is primarily made for tech and data teams, not for marketing teams and agencies, so it’s not as easy to use and doesn’t support many popular marketing platforms. 

On the other hand, we built Supermetrics with marketers and agencies in mind. So with Supermetrics, we can confidently state that we’ll be able to support all your use cases as a marketer. 

But, choosing the right one for your company isn’t straightforward, given the common core function of automating data processing and analysis.

Let’s look at some important parameters to compare Supermetrics with Stitch:

  1. Data sources
  2. Data destinations
  3. Scalability
  4. Usability
  5. Pricing

Stitch vs. Supermetrics: data sources

The platforms, or integrations, allowing users to pull data for analysis or further processing are called data source connectors.

When assessing data source connectors, ask yourself these two main questions: what platforms can I pull data from, and can the platform scale with my company’s growth?

What platforms can I pull data from?

Supermetrics and Stitch offer ETL—extract, transform, load—capabilities and a range of data source connectors, from paid media to sales data.

Most of the platforms covered by Supermetrics fall into these categories:

  • Paid media (including Facebook Ads, Google Ads, Amazon, Ads and TikTok Ads)
  • Web analytics (including Google Analytics, Google Analytics 4 and Adobe Analytics)
  • Social media (including Facebook, Instagram, and Twitter)
  • SEO (including Google Search Console, Google My Business, and Ahrefs)
  • Ecommerce (including Shopify, Klaviyo, and Stripe)
  • Mobile and app analytics (including Apple Public Data, and Facebook Audience Network)
  • Email (including Mailchimp)
  • Sales (including Salesforce, HubSpot, and CallRail)

Stitch may have more connectors, but they’re not designed for marketers and marketing agencies. So, Stitch is missing many popular marketing platforms like Apple Ads, Twitter Ads, TikTok Ads, Yahoo Ads, Adobe Analytics, and Ahrefs. This makes it difficult to use and may not meet all needs. 

Let’s look at some of the popular data source connectors that are missing with Stitch:

supermetrics vs stitch: marketing connector comparison

Additionally, if you look at Stitch’s data sources, almost half of them are ‘Community-Supported’ sources meaning they’re available via a third-party community called the Singer Community. Simply, all the connectors marked as ‘Community-Supported’ are written by the open-source Singer Community and aren’t supported by Stitch’s Support team. 

Supermetrics is built specifically for marketers and supports various marketing use cases. We build all the connectors in-house to maintain consistent quality and offer the most fields from each data source, allowing you to analyze your data more thoroughly every time.

New data source development

For developing new data sources with Stitch, you need to either develop it yourself or use the Singer Community and wait for them to develop it.

But, Supermetrics listens to customer feedback and incorporates it into our roadmap, so you can be confident that we’ll meet your needs. To make it easier for you to submit a connector request, you can instantly check the roadmap to see if the connector you’re looking for is under development. Otherwise, you can submit your request here.

We develop and add new data sources regularly, so you don’t need to worry about finding other ways to integrate them.

Stitch vs. Supermetrics: data destinations

A data destination is a platform where you can bring all your data from the data sources to process, analyze, and use it further.

Every organization has its tech stack, and sometimes when using a new platform, you need to learn the platform first, which isn’t as easy as using your current tools. That’s why it’s a very important aspect to know where you can finally move or store your data.

Where can I move my data?

In addition to moving data to data storage platforms—data warehouses and data lakes—like to Stitch, with Supermetrics, you can also move your data from 100+ marketing channels to almost any destination you or your team are using like spreadsheets, visualization, and BI tools.

Supermetrics data sources and destinations

On the other hand, Stitch offers data transfers to only eight data lakes, warehouses, and storage platforms as data destinations.

So if you’re looking to automate your reports to Google Data Studio or get all the data to Google Sheets, Excel, or Tableau for further analysis, then it’s not possible with Stitch. You’ll always have to store your data first in a data warehouse or another data storage platform—and only then can you move your data further to an analytics tool, dashboard, or visualization platform.

How can I use my data for analysis?

With Supermetrics, you have the freedom to move and centralize your data depending on what suits your needs. You can move it into a spreadsheet if you need to analyze a specific dataset. If you need to create performance monitoring dashboards and reports, you can use Google Data Studio. If you need to build a centralized repository of all your historical marketing data, you can use BigQuery.

On the other hand, as Stitch can only transfer your data to storage platforms, it’s difficult to only analyze a small chunk of data without going through the entire transfer process. Simply, you should add your data to your storage platform every time you need to analyze something.

But with Supermetrics, you can preview your live data before sending it to a storage platform, helping you increase your confidence that you’re pulling the correct information and the data is accurate. There are almost limitless ways to use Supermetrics depending on where you’re pulling data from and where you’re pulling it to without worrying about security and ownership.

Stitch vs. Supermetrics: scalability

As your company grows, so do your data needs and analytics maturity.

You might start by creating simple marketing reports for your clients and managers or build easy-to-understand dashboards to monitor performance. As you become more analytically advanced, that may evolve into deeper analysis in spreadsheets or more complex reports that blend large datasets from multiple platforms. 

You might outgrow spreadsheets as a data repository and look for something more suitable, like a marketing data warehouse. At the same time, you’ll be able to move from restrictive and descriptive analytics toward predictive and prescriptive analytics.

We refer to this evolution as marketing analytics maturity.

Marketing analytics maturity model. Lagging, developing, expanding, leading.

How does each solution scale with you?

At Supermetrics, we understand that data integration needs are not static. Data complexity grows with your business, especially for sales and marketing data.

Our solutions keep pace as your needs change, going from spreadsheets and data visualization tools to data warehouses and data lakes. We have the right data delivery solution for your needs, no matter where you are on your data journey.

On the other hand, with Stitch, you can only move your data to a data warehouse or data lake, which might not always be your team needs.

In terms of scale, Supermetrics is significantly larger than Stitch. Supermetrics has 17,000+ customers—and over 700k users—but Stitch only has around 3,000 customers. Due to its many customers, Supermetrics gets the privilege of learning from a much broader client base enabling it to make informed decisions on product development.

And with a large customer base, we also have the experience of working with various use cases. It’s likely we’ve worked on similar cases to yours before at Supermetrics, especially with marketing and sales teams.

Stitch vs. Supermetrics: usability

Supermetrics allows users to modify, map, correct, and transform the data extracted from sources without storing it on third-party servers. You can also perform all data transformations during the data transfer.

Supermetrics offers many destinations to move your data, but to narrow down the comparison, let’s just look at data lakes and data warehouses, as that’s what Stitch offers. The main difference between Supermetrics and Stitch is that Supermetrics gives data in a wide, denormalized format with no nested fields, while Stitch gives data in a normalized format.

To explain briefly, normalization is a technique that aims to remove redundant data and guarantee logical data storage. When designing databases, the normalization process breaks up large tables into smaller ones and connects them using relationships.

Denormalization is the opposite of normalization when redundancy is purposefully added to the data to enhance the functionality of the particular application and data integrity. Since more joins might slow down the process, denormalization minimizes both the number of tables and the complexity of table joins.

​​Denormalization example

Since we offer access to many popular data sources, we’ve included standard schemas to get you up to speed with your data storage integration 

Essentially, a standard schema is a set of metrics and dimensions that you can use to analyze data. With Supermetrics, all the standard schemas are developed based on extensive research and customer feedback.

But if the standard schemas don’t fit your needs, then you can always create custom schemas for total freedom in your data extractions.

Here’s what Jack Giddens, Head of Biddable at Katté & Co. had to say about maintaining their data with Stitch and BigQuery:

“We used Stitch for about six to eight months and had all our clients on it. But, it was very hard to maintain as it was a very bare-bones solution. Since it’s built more for developers, there was a lot to do behind the scenes to make sure the data was usable. We had to deduplicate all our data in BigQuery daily, which started to become challenging, especially since we had to do that in the backend for 30+ clients across five data sources.” 

Since Stitch isn’t built for marketers and agencies, and as it connects to data warehouses and data lakes only, it needs some technical expertise from a developer or an analyst to configure and manage it.

Stitch vs. Supermetrics: pricing

There’s only one thing in common between the Supermetrics and Stitch pricing models: we both offer a 14-day free trial.

Other than the free trial, though, Stitch has three pricing models, out of which only one of them has pricing mentioned on the website. The pricing structure that Stitch offers is usage-based. So their standard plan starts at $100 per month and goes up to $1,250 per month depending on the usage or number of rows queried.

As the price increases with the number of rows, it makes it very unpredictable for the users to understand how much they will pay. So you might end up paying a lot more than you initially planned.

Unpredictable pricing makes it very hard to forecast a budget and might make you cautious with the amount of data you’re pulling and potentially missing out on valuable insights.

Contrary to this, Supermetrics offers several plans from which you can select the right one for your business needs.

With Supermetrics, you get fixed-fee pricing, so you always know what you’ll pay and what the package includes. There are no surprise fees or surges in price due to increased usage or credit systems.


To summarize all the points we covered above, both Supermetrics and Stitch are good tools for data pipelines, depending on what you’re looking for.

Suppose you’re looking for a solution based on an open-source connector tool to transfer your data from data sources to a data warehouse or data lake, and you don’t have to worry about the solution’s scaling, ease of use, or predictable pricing structure, then, Stitch might be a good tool for you.

But if you’re looking for a data pipeline that’s built specifically for marketers, which can cater to almost all of your marketing needs, allows you to transfer data to various destinations, including BI tools and spreadsheets, and can also give you a predictable pricing structure then Supermetrics might be a better fit for you. To see Supermetrics in action, start your 14-day free trial now.

Comparison table between Supermetrics and Stitch.

About the author

Isha is a Junior Demand Gen Manager at Supermetrics. Isha loves to uncover the meaning behind data and helps customers understand the importance of data-driven marketing.

author profile image

Isha Shinde

About the author:

Meet Isha, a Junior Demand Gen Manager at Supermetrics, who loves decoding data mysteries and empowering customers with data-driven marketing insights.

Turn your marketing data into opportunity

We streamline your marketing data so you can focus on the insights.

Book Demo