The Basics of How Pricing Works

  1. Pricing for the platform is straightforward, with no hidden fees.
  2. You pay a flat fee per year based on how many connectors you need, so the price won’t go up even if you increase the number of users or data volume.
  3. If you add more connectors, you can upgrade your package while still getting a predictable pricing plan with no hidden fees. 
  4. This is in contrast to other data warehouse integration platforms, many of which have variable costs that change when you add users or require you to pay hosting and hardware fees. 
  5. The price for includes access to a customer support team that’s happy to answer your questions or help with onboarding and troubleshooting from day one. stands as a leader in its market, offering cloud-based ETL (Extract, Transform, Load), Reverse ETL, CDC, API Management, and Data Warehouse analytics solutions as well as data pipeline tools. In addition to its user-friendly interface and powerful transformations, how pricing works sets it apart from the competition when it comes to e-commerce. is an easy-to-use solution with reverse ETL capability that makes data transformation accessible and efficient — and affordable. Looking at how pricing works in comparison to its competition further reveals a pricing methodology ideal for anyone looking for a data integration platform that offers superior data pipeline tools.

Table of Contents

  1. A Pricing Model Designed To Reduce Your Costs
  2. How Other Data Pipeline Tools Set Their Pricing
  3. What Does Cost?
  4. Why Choose

A Pricing Model Designed To Reduce Your Costs devised an easy-to-understand and easy-to-implement pricing model. Once you learn how pricing works, you’ll see how it helps clients accurately predict costs and scale SaaS businesses when necessary. There are no hidden layers of costs that make your bill skyrocket. It's consistent with the philosophy of the solution as a user-friendly, functional ETL platform that’s sophisticated enough for data specialists while remaining accessible to those with a limited programming background.

When you sign up for this data integration platform, you’ll pay a flat fee per year based on the number of connectors. It does not cost more if your data volume goes up in a pricing period or if you write more lines of data. The complexity of your jobs doesn't affect the price of this data warehouse integration platform, either. If you want to upgrade your data transformation strategy and add more connectors, you can update your package with the same predictable pricing scheme.

There are numerous benefits to how pricing works. . If you plan to access more data as your SaaS business scales, but keep the same number of connectors, your costs are the same to use this data warehouse integration platform. In the event that you have a big data transformation event, you can proceed without developing an additional budget for data pipeline costs connected to the additional volume. As you learn how pricing works, you can see how easy it is for businesses to get cost-effective help with API automation, data onboarding, integrating Microsoft SQL, and more. All the while, enables them to easily predict their IT costs accurately and remain agile when preparing business plans months in advance.

How Other Data Pipeline Tools Set Their Pricing

As you learn how pricing works, you’ll start to see what sets us apart from our market competitors when it comes to data warehouse integration. Compare the graphic below, where Table A, "Fixed Costs," represents The other two models where prices increase represent's competitors.

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Here are some more concrete examples, using's market competitors. As you will notice,'s pricing scheme is not only more predictable but costs businesses less overall -- for a platform that is superior to use and offers premier results.

Fivetran uses consumption-based pricing. Fivetran is an ELT (extract-load-transform). The more data you use, the higher Fivetran's cost. Think of it as a pay-per-use plan where you won't know from period to period precisely how much your data transformation costs you. Variable pricing models make it almost impossible to budget. It can also put a strain on your data science staff members, who may change their approach to a data job because of the unpredictability of cost. With, your IT personnel can just do the required data transformation, without worrying the job will result in cost overruns.

To see what this looks like graphically, refer to Table B, "variable costs."

Alteryx offers user-based pricing. You pay per "seat," and each one has a steep associated cost -- $5,195 for the base plan and up to $78,975 for the enterprise plan. Furthermore, most businesses require more than one user. Moreover, employees in different regions cannot share the same subscription, meaning any multi-regional operations need more than one user by default. That's in addition to the hosting and hardware costs of Alteryx. As a cloud-based solution, the platform doesn't require hosting on local hardware.

Alteryx's scheme is an example of "mixed," or "semi-variable" costs, as the graphic represents in Table C.

Stitch has a hybrid pricing model, with plans that vary according to data volume and number of users. Stitch is an ETL. The Free and Standard plans for Stitch cap the number of users at 5, meaning any organization with more than five users has to upgrade to the most expensive Enterprise plan. The Free plan allows up to 5 data source types and Standard plan up to 10 data source types. The Enterprise plan allows for customization of the number of sources. Again, that's different from, which bases its pricing on connectors alone.

This is an example of "step" pricing, where costs increase according to plan. You can see this scheme represented in Table D, "Step Costs."

What Does Cost? bases its costs on the number of connectors. A source and a destination represent one connector each for pricing; therefore, the minimum plan provides two connectors by default. If you want to funnel your customer data from a single source into Salesforce, for example, that's two connectors. You pay the flat rate for two connectors, regardless of how many customers you have, annually or the extent to which that information changes. Irrespective of the number of people actively using's data pipeline platform to transform your data, you pay the same annual cost.

Of course, business data needs to evolve. Many companies will need to add a new data source or data destination. At that time, you can simply expand your functionality to accommodate these new needs. Your pricing will go up but in a predictable, budget-friendly way. gives you the power to make realistic and reliable budget predictions. In a sense, pricing represents its data pipeline structure -- easy to use, easy to comprehend, and ideal for business planning.

Why Choose is one of the most respected vendors in the data pipeline space. By partnering with for your data transformation needs, you access a platform that lets you optimize your data. You also benefit from a transparent, predictable pricing structure. Your data transformation costs will not vary according to the lines of data you process, nor by the number of users on the platform. What matters is the connectors. When you use, you get access to a clear picture of your data pipeline, as well as a wealth of resources to make that data pipeline the most functional it can be. To learn more about pricing models and the number of connectors you may need, get in touch for a demo and 7-day free trial so that you can see it for yourself.