Sold by: Chalk
Deployed on AWS
Chalk is the data platform for AI and ML, designed to support production-grade machine learning systems running inside customer cloud environments.
Overview
Chalk is the data platform for AI and ML, designed to support production-grade machine learning systems running inside customer cloud environments.
Chalk includes a native feature store and supports production ML systems where real-time decisions, fresh data, and low-latency inference are critical to core business workflows across financial services, marketplaces, and SaaS.
The platform enables data, AI, and ML teams to deploy and scale enterprise-grade infrastructure, author feature pipelines in Python, and serve fresh features in real time with full observability and point-in-time correctness. Chalk supports production ML use cases including fraud detection, payments and underwriting, recommender systems, search and ranking, and growth decisioning.
Highlights
- Build, deploy, and iterate faster with Chalk, a programmable feature engine that powers low-latency inference, rapid model iteration, and observability across your model lifecycle. Chalk eliminates the core pain points that slow down teams building enterprise AI and ML systems, providing an end-to-end platform for: Deploying and scaling enterprise-grade infrastructure
- Building training datasets with high throughput batch offline queries and point-in-time correctness
- Serving fresh features on the fly with versioning, branching, and full observability
Details
Sold by
Delivery method
Deployed on AWS
New
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Features and programs
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.
Pricing
Pricing is based on the duration and terms of your contract with the vendor, and additional usage. 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. Usage-based pricing is in effect for overages or additional usage not covered in the contract. These charges are applied on top of the contract price. If you choose not to renew or replace your contract before the contract end date, access to your entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/12 months |
|---|---|---|
Platform Fee | Access to the platform | $1,000.00 |
Dimension | Description | Cost/unit |
|---|---|---|
standard_credit | Cost per Credit | $0.85 |
Vendor refund policy
All fees are non-cancellable and non-refundable except as required by law.
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
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
Please contact - support@chalk.ai
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.
Updated weekly
By Chalk
By Databricks, Inc.
By IBM Software
Top
10
In Feature Engineering
Top
10
In Databases & Analytics Platforms, ML Solutions, Data Analytics
Top
50
In Data Preparation
Sentiment is AI generated from actual customer reviews on AWS and G2
Functionality
Ease of use
Customer service
Cost effectiveness
Positive reviews
Mixed reviews
Negative reviews
AI generated from product descriptions
Native Feature Store
Platform includes a native feature store designed to support production-grade machine learning systems with real-time decision capabilities.
Python-Based Feature Pipeline Authoring
Enables data, AI, and ML teams to author feature pipelines using Python programming language for enterprise-grade infrastructure deployment.
Real-Time Feature Serving
Supports serving fresh features in real time with versioning, branching, and full observability for low-latency inference requirements.
Point-in-Time Correctness
Provides point-in-time correctness capabilities for building training datasets with high throughput batch offline queries.
Production ML Use Case Support
Supports production machine learning use cases including fraud detection, payments and underwriting, recommender systems, search and ranking, and growth decisioning.
Lakehouse Architecture
Built on a lakehouse foundation providing unified data storage and governance across data engineering, analytics, BI, data science, and machine learning workloads
Open Source Integration
Constructed on open source data projects and open standards to maximize flexibility and interoperability across the data ecosystem
Data Intelligence Engine
Powered by a Data Intelligence Engine that enables organizational access to data and insights across diverse user roles and technical skill levels
Unified Data Platform
Consolidates data, analytics, and AI workloads on a single common platform running on Amazon S3, eliminating traditional data silos
Collaborative Capabilities
Provides native collaboration features enabling data teams to work together across the entire data and AI workflow
Universal Query Engine
AutoSQL provides a universal query engine for unified data access across disparate data sources.
Data Discovery and Classification
Watson Knowledge Catalog enables real-time discovery and classification of data with automated cataloging capabilities.
Automated Policy Enforcement
Pervasive privacy framework with automated policy enforcement for sensitive data protection across all users in the organization.
Model Operations and Governance
ModelOps on Watson Studio synchronizes application and model pipelines while monitoring and governing AI models to manage risk, reduce drift and bias, and enhance transparency.
Data Fabric Architecture
Data fabric technology connects siloed data on premises or across multiple clouds without requiring data movement, enabling consolidated and governed views of enterprise data.
Standard contract
No
No
Customer reviews
No customer reviews yet
Be the first to review this product . We've partnered with PeerSpot to gather customer feedback. You can share your experience by writing or recording a review, or scheduling a call with a PeerSpot analyst.