Overview

The platform enables Data teams to collaborate in a single environment to manage end to end data project lifecycle, from data ingestion to data consumption. The platform orchestrates an impressive array of open-source and commercial technologies to create jobs, design pipelines and move them to production in few clicks. Therefore, you will be able to manage your DATA/AI projects from end to end by combining the orchestration of your workflows and the provisioning of your apps within a hybrid infrastructure.

Highlights

Saagie, a Gartner-recognized leader, powers the DataOps revolution! Our platform brings all data projects under one roof with seamless orchestration. Unlock the full potential with pre-built technologies, advanced pipelines, and a game-changing Docker app add-on. Supercharge your data management today !

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Financing for AWS Marketplace purchases

AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.

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Pricing

Saagie Cloud Data Factory

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Pricing is based on contract duration. You pay upfront or in installments according to your contract terms with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.

12-month contract (1)

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Dimension	Description	Cost/12 months
Saagie Starter Pack	All Saagies features for one project	$40,000.00

Vendor refund policy

Your Saagie subscription is non-refundable, but can be cancelled at any time. You will still have access to Saagie's product until the end of your contract.

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Software as a Service (SaaS)

SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.

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Ratings and reviews

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2 external reviews

External reviews are sourced from G2 and are not included in the star rating for this product.

Verified User in Online Media

Single Environment to Manage complete dataops.

Reviewed on Jun 20, 2024

Review provided by G2

What do you like best about the product?

The best about the platform is open-source technologies , and easy pipeliine to create jobs , collect data and move them to the production.

What do you dislike about the product?

No big dislike in this tool.
But sometime I feel this tool has too much update, which makes keep on updating the pipleing.

What problems is the product solving and how is that benefiting you?

It is mainly used in our DATA/AI projects from end to end by combining the orchestration of the workflows and the provisioning of our apps within a hybrid infrastructure.

My review for the product saagie

Reviewed on Jul 06, 2023

Review provided by G2

What do you like best about the product?

It's a Dataops-related application and a pretty good one, indeed.

Saagie helps companies with their digital transformation by eliminating technology barriers related to Big Data.

The DTaaS (Data Technology as a Service) setup always updates you with the latest technologies.

Saagie is an end-to-end solution covering extraction, storage, processing up to visualization and analytics

What do you dislike about the product?

Nothing to dislike as of now regarding the product. But there is only one concern: Shotflow requires third-party systems to provide comparable features like

What problems is the product solving and how is that benefiting you?

It mainly helps provide DataOps Orchestration that accelerates and operationalizes analytic projects, which can get pretty complex in the long run. Saagie delivers unmatched time-to-value, is “open by design” with isolated containers, strong network engineering, as well as transparent security and governance, bringing trust, privacy, audit and traceability to analytic projects