Our pay-as-you-go pricing offers on-demand rates per pipeline per day. You are charged according to your selected plan and the number of daily active data pipelines each monthly billing period. The following is the pricing, per day, per pipeline. The quantity reflects the number of active pipelines in a monthly billing period.

As you can see, pricing decreases as you scale the number of pipelines. Tier 1 is priced at $1.49 per day for the first 30 active pipelines. Tier 2 is $0.69 per day for the following 31-100 active pipelines. Tier 3 is $0.49 per pipeline for 101-200 pipelines. Lastly, Tier 4 is $0.19 per pipeline for anything over 201.

For example, if you have one pipeline active for 1 day, the cost is $1.49. If you keep the pipeline active for 2 days, the price is $2.98 (2 days * $1.49). If you kept your pipeline active for 30 days, this places your one pipeline in Tier 1, which would result in your costs being $44.70 (30 * $1.49 ).

Here is the breakdown for 1 pipeline, active for 30 days:

The 30 active pipelines for the month would be priced according to the first tier, with no charges beyond that usage level. See the following usage chart;

As you can see, the 30 pipelines are priced according to the given tier.

Remember our prior Amazon Advertising example where we had 10 pipelines? Here is an expanded example where you have 10 pipelines active for 30 days:

The 300 monthly active pipelines would be priced according to each tier, with the price decreasing with quantity. Notice how the 300 count is applied to the cost chart;

As you can see, the 300 pipelines are broken down by tier, where pricing scales downward as the quantity decreases—the greater the number of pipelines, the lower the costs. In the example above, anything over 200 active pipelines monthly is priced at $.19 each.

Below are a few examples of different pricing scenarios demonstrating how pricing works.

You are a brand selling on Amazon. You have 1 Amazon Advertising profile in the US. You want Sponsored Advertising performance data for campaigns, keywords, and ad groups. This requires a standard Amazon Advertising connector to deliver data to your private BigQuery warehouse.

Since you only need standard services, you would select a Basic Plan with a base price of $0 USD. Your charges will be calculated as follows:

You will have 1 active data pipeline (Amazon Advertising) every day throughout a billing period (30 days) for your US advertising profile.

30 pipelines for the month put your usage in Tier 1. This means your daily pipeline charges are:

Total costs would be: Basic Plan $0.00 + Usage $44.70 = $44.70 per month

There are no charges for compute time, the number of rows, or the data size.

You want Sponsored Advertising performance data for campaigns, keywords, and ad groups. This requires a standard Amazon Advertising connector. You have 2 Amazon Advertising profiles; one in the US and one in CA.

Since you only need standard services, you would select a Basic Plan. Your charges will be calculated as follows:

You will have 2 active data pipelines (US & CA) daily throughout a billing period (30 days).

30 of the 60 pipelines fall under Tier 1. Remaining 30 falls under Tier 2. This means your daily pipeline charges are:

Total costs would be: Basic Plan $0.00 + Usage $44.70 = $65.40 per month

As you can see, the price per pipeline will decrease as usage increases.

You want to start small. You need primary order data for a few Amazon Seller Central accounts in the US, CA, UK, DE, and MX. This requires standard Amazon Seller Central connectors to a standard data destination like BigQuery.

Since you only need standard services, you would select a Basic Plan. Your charges will be calculated as follows:

You had 5 active data pipelines every day throughout a billing period (30 days).

The daily pipeline charges for the month:

The monthly cost for 150 pipelines would be $117.50, averaging approximately $3.91 a day.

Total costs would be: Basic Plan $0.00 + Usage $117.50 = $117.50 per month

You are starting to scale. You have several Amazon Advertising, Shopify, and Amazon Seller Central accounts in the US, CA, UK, DE, FR, IT, and MX. This requires standard connectors to a standard data destination like BigQuery.

Since you only need standard services, you would select a Basic Plan. Your charges will be calculated as follows:

You had 30 active data pipelines (30 days) throughout the billing period.

Since you are running 30 pipelines continuously every day for 30 days, the charges for 900 total monthly active data pipelines look like this:

Total costs would be cost = $0.00 + $275.00 = $275.00 per month

You are an agency looking to drive automation and scale. You manage many global Amazon Seller Central accounts for your clients. You need complete operational data for each account, including returns, fulfillment, orders, FBA, etc. You also need Amazon Advertising, Facebook Advertising, and Google Ads data. Based on the services and support needed, a Premium Plan is required.

You had 75 active data pipelines daily throughout a billing period (30 days).

Since you are running 75 pipelines continuously, every day for 30 days, the charges for 2250 total monthly active data pipelines look like this:

Total costs would be: $149.00 for the premium plan + $531.50 usage = $680.50

At this scale, there are still no charges for compute time, the number of rows, or the data size.

This example details how you are only charged when something is running.

You are in the early phases of building unified reporting for advertising and sales. You need immediate order data for Amazon Seller Central accounts in the US, CA, and MX, plus Amazon Advertising and Facebook Ads data.

You had five active data pipelines activated partway into a billing period. You also have another five pipelines temporarily activated for seven days.

Here are the five that were running for 21 days (partial month):

You also had an additional 5 active pipelines for seven days. These were various Seller accounts you undertook due diligence on for acquisition and only needed limited data snapshots. This means for the month, there were 129 active pipelines:

The 129 data pipelines would cost:

Total costs would be cost = $0.00 + $107.21 = $107.21 for the month