[
Pecan Reviews
](https://www.g2.com/products/pecan/reviews)

[
Pecan Reviews
](https://www.g2.com/products/pecan/reviews)

# Pecan Pricing Overview

[Editedit](https://my.g2.com/pecan/pricings)

## Pecan Pricing Key Insights

Last updated on Apr 09, 2026

* * *

Pecan offers **3 pricing editions** , with pricing details available directly from the vendor. A free trial of **Pecan** is not available. Review the Pecan pricing table below to determine which features best align with your requirements. Contact **Pecan.ai** directly to purchase the software.

* * *

Starter — Contact Us / Per Year

Team — Contact Us / Per Year

Business — Contact Us / Per Year

Rated 4.7 / 5

\*Pricing information is supplied by the software provider or retrieved from publicly accessible pricing materials. Final cost negotiations must be conducted with the seller.

Starter

Contact Us

Per Year

[Contact Us](#)

- Monthly predictions batches - 2
- Storage - 500M rows
- In-app Support & enablement

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Team

Contact Us

Per Year

[Contact Us](#)

- Monthly predictions batches - 10
- Storage - 2Bn rows
- In-app Support + Essential enablement 

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Business

Contact Us

Per Year

[Contact Us](#)

- Monthly predictions batches - Custom
- Storage - 5Bn rows
- In-app Support + Pro enablement

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Pricing information for Pecan is supplied by the software provider or retrieved from publicly accessible pricing materials. Final cost negotiations to purchase Pecan must be conducted with the seller.
Pricing information was last updated on July 09, 2026

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## Pecan Pricing Reviews
(2)

  

 ![Brian J.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Brian J.")
BJ

Brian J.

Data Analyst

Mid-Market (51-1000 emp.)

8/21/2025

"Intuitive, powerful Predictive platform tool"

5/5

What do you like best about Pecan?

Pecan is very a very straight forward end-to-end predictive model deployment tool. We have been using Pecan for 3 months now, and nearing our first production model for demand forecasting. I'm pleased to say that their support and pro enablement team is a 10/10. Great people with great domain knowledge and very focused on business value solutions to help you expedite your experiments and have something in production as quick as possible. The tool is definitely made for those teams that don't have the band-width or data scientists onboard...easy to use and lots of guardrails Review collected by and hosted on G2.com.

What do you dislike about Pecan?

Coming from a data science background, sometimes I wish we had more control over the models used for each use case and the possibility of introducing custom optimization metric Review collected by and hosted on G2.com.

What problems is Pecan solving and how is that benefiting you?

Improving our demand forecasting by adding seasonality, promo calendar, and other non linear relationship features to it Review collected by and hosted on G2.com.

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Current UserValidated ReviewerSource: Organic

  

 ![Verified User in Glass, Ceramics & Concrete](/assets/icons/anonymous-avatar-purple-4ae1032bdb50ee5682003170c8184aee790d25958bd397abbd384ba52c596a7b.svg "Verified User in Glass, Ceramics & Concrete")
IG

Verified User in Glass, Ceramics & Concrete

Mid-Market (51-1000 emp.)

8/28/2025

"Pecan: Powerful Yet Evolving"

4/5

What do you like best about Pecan?

It's quite well designed, and the results seem to be effective also that can be relied upon on decision making level. Data Models are quite good, and Product Support is on a dependable level.

SQL Users can find it more comfortable when dealing with Pecan.

Queries and Prompts can be modified while dealing with the data set processing. Review collected by and hosted on G2.com.

What do you dislike about Pecan?

Data Model cannot be selected before training the model.

Executed queries cannot be downloaded separately before the training the model/prediction.

Certain Times, the prompt is not being taken into consideration. Review collected by and hosted on G2.com.

What problems is Pecan solving and how is that benefiting you?

Pecan helps in turning raw business data into clear predictions without needing heavy coding or deep data science expertise. It makes it easier to build and run models, especially for SQL users, so decisions can be based on facts instead of guesswork. This saves time, reduces manual effort, and helps in making more confident business decisions. Review collected by and hosted on G2.com.

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9/10/2025
Validated ReviewerSource: Organic

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