Overview
The SageWorks framework makes AWS both easier to use and more powerful. SageWorks handles all the details around updating and managing a complex set of AWS Services. With a simple-to-use Python API and a beautiful set of web interfaces, SageWorks makes creating AWS ML pipelines a snap. It also dramatically improves both the usability and visibility across the entire spectrum of services: Glue Jobs, Athena, Feature Store, Models, and Endpoints. SageWorks makes it easy to build production ready, AWS powered, machine learning pipelines.
SageWorks is architected as a Private SaaS. This hybrid architecture is the ultimate solution for businesses that prioritize data control and security. SageWorks deploys as an AWS Stack within your own cloud environment, ensuring compliance with stringent corporate and regulatory standards. It offers the flexibility to tailor solutions to your specific business needs through our comprehensive plugin support, both components and full web interfaces. By using SageWorks, you maintain absolute control over your data while benefiting from the power, security, and scalability of AWS cloud services.
The SageWorks solution has two main components, a Web Interface that provides visibility into AWS ML PIpelines and a Python API that makes creation and usage of the AWS ML Services easier than using/learning the services directly. The SageWorks Dashboard has a set of web interfaces that give visibility into the AWS Glue and SageMaker Services. There are currently 5 web interfaces available:
- Top Level Dashboard: Shows all AWS ML Artifacts (Glue and SageMaker)
- DataSources: DataSource Column Details, Distributions and Correlations
- FeatureSets: FeatureSet Details, Distributions and Correlations
- Model: Model details, performance metric, and inference plots
- Endpoints: Endpoint details, realtime charts of endpoint performance and latency
The SageWorks Python API is used is to encapsulate and manage a set of AWS services underneath a Python Object interface. The Python Classes are used to create and interact with Machine Learning Pipeline Artifacts.
For more info on the API see our SageWorks Documentation Pages: https://supercowpowers.github.io/sageworks/
For custom pricing, EULA, or a private contract, please contact aws-marketplace@supercowpowers.com , for a private offer.
Highlights
- SageWorks Dashboard: The SageWorks Dashboard Web Interface gives a full overview of your AWS ML Pipelines, including S3 Data Sources, Glue Jobs, Feature Groups, Models and Endpoints. The Dashboard dynamically updates when any AWS objects are created and can be inspected with a fantastic set of drill down pages.
- Exploratory Data Analysis: Our drill down pages include a broad set of EDA graphs and plots. For DataSources and FeatureSets there are column details, distributions and correlations all presented in an intuitive set of plots and graphs.
- Model Performance and Metrics: The models drill down page will give model performance metrics and details. There's a nice set of plots that show performance results for both regression and classification model. The endpoint drill down page provides realtime charts of endpoint performance and latency, including endpoint health and error metrics.
Details
Features and programs
Financing for AWS Marketplace purchases
Pricing
Dimension | Description | Cost/month |
|---|---|---|
Enterprise Lite | Full Product + AWS support/installation and initial models. | $1,500.00 |
Enterprise Standard | Customized web components and themes. | $3,000.00 |
Enterprise Pro | Full custom web interfaces, models, and client branding. | $4,000.00 |
Free Trial | Free Trial (1 Month) | $0.00 |
The following dimensions are not included in the contract terms, which will be charged based on your usage.
Dimension | Cost/unit |
|---|---|
Overage Per Contract | $0.01 |
Vendor refund policy
We strive to ensure your satisfaction with SageWorks. However, due to the nature of our digital product, all sales are final and non-refundable. We recommend taking advantage of our free trial period and comprehensive support resources to ensure SageWorks meets your needs before purchasing.
Legal
Vendor terms and conditions
Content disclaimer
Delivery details
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.
Resources
Vendor resources
Support
Vendor support
SageWorks is architected as a Private SaaS. After purchase SageWorks support will schedule a video call where we'll help your team deploy the AWS Stack into your account. The initial AWS setup and training is included as part of the subscription. We're also available at any time to help with questions or issues, please reach out to us at email:support@supercowpowers.com , visit our support web page (https://www.supercowpowers.com/support ) or join our Discord community here:
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.