Sold by: Tag.bio
Tag.bio Data Science Platform combines data sets, smart APIs, statistical and machine learning algorithms into data products for users to discover insights via apps and AI/Generative AI solutions using data mesh architecture
Overview
Tag.bio Data Science Platform includes a full system implementation with:
- Data Products, data services and analysis layers
- AI and Generative AI Applications and Solutions
- End-to-End Machine Learning interface using developer studio
- CI/CD Pipelines
- AuthN/AuthZ, SSO
- Logging, Tracking and Management
- ETL pipelines for a healthcare and life sciences datasets
- Knowledge transfer and training.
Highlights
- Tag.bio data science platform can help your domain experts and data scientists accelerate time to science via low-code/no-code Apps and AI/Generative AI solutions
Details
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Delivery method
Deployed on AWS
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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 | Overage cost |
|---|---|---|---|
Single User | For 1 user, 3 data products/nodes with apps | $36,000.00 | - |
Medium-Scale Enterprises | 30 users and up to 10 data products/nodes with apps | $550,000.00 | - |
Enterprise | 100 users and up to 50 data products/nodes with apps | $1,650,000.00 |
Dimensions summary
You choose a contract tier based on how many users need access and how many data products you deploy. The Single User tier covers 1 user with 3 data products. The Medium-Scale Enterprises tier supports 30 users and up to 10 data products. The Enterprise tier supports 100 users and up to 50 data products. Pricing scales with both user count and the number of data products or nodes running apps. Each step up raises both limits together, so you pick the tier that matches your team size and workload.
Top-of-mind questions for buyers
A data product is a containerized application layer built on top of your data sources. Each one is deployed as its own container into a managed compute infrastructure. Your tier caps how many run at once: 3 for Single User, 10 for Medium-Scale Enterprises, and 50 for Enterprise.
Both limits move together within each tier, so you cannot mix them. A tier sets a user cap and a data product cap as a pair. Pick the tier where both your team size and your planned data product count fit. If either metric exceeds a tier, you move to the next one.
Each data product exposes a shared API for queries and data extraction. Users run no-code point-and-click analysis, build cohorts, and create visualizations and reports. Data scientists connect through R and Python libraries. Data products also serve embedded machine learning and generative AI methods.
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Vendor refund policy
Tag.bio software refunds are available within 14 days of an issue. Please contact info@tag.bio for assistance.
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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
Contact us: https://www.tag.bio/contact-us-tag-bio or reach us at info@tag.bio . Join our community on Slack:
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 Tag.bio
By Code Ocean
By Outerbounds
Top
100
In Education & Research
Top
10
In Healthcare & Life Sciences
Top
25
In ML Solutions, Generative AI
Sentiment is AI generated from actual customer reviews on AWS and G2
Functionality
Ease of use
Customer service
Cost effectiveness
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AI generated from product descriptions
Machine Learning Interface
End-to-end machine learning interface with developer studio for model development and deployment
Data Integration and Processing
ETL pipelines specifically designed for healthcare and life sciences datasets with data products and data services layers
AI and Generative AI Capabilities
Built-in AI and Generative AI applications and solutions for data analysis and insights discovery
Security and Access Control
Authentication, authorization, and single sign-on (SSO) capabilities with logging, tracking, and management features
CI/CD Pipeline Integration
Continuous integration and continuous deployment pipelines for automated workflow management and data product deployment
Reproducible Computational Encapsulation
Compute Capsules provide shareable, traceable, and reproducible encapsulation of code, data, and environments used in computational research with version control and linkage to results produced.
Pipeline Automation and Orchestration
Pipelines enable connection, automation, parallelization, and scaling of computational work with visual editor for auto-generating Nextflow code, nf-core imports, or custom code.
Data Lineage Tracking
Lineage Graph maintains an immutable record of how result data is generated, showing source data, processing through Capsules and Pipelines, and output with full traceability.
Centralized Data Management
Unified data management system for organizing all data assets in the cloud and from external sources while tracking lineage, ensuring reproducibility, and reducing duplication.
Programmatic API Access
API enables programmatic access to core functionality including running computations, creating data assets, and retrieving metadata without requiring user interface interaction.
Workflow Orchestration Framework
Open-source Metaflow framework for designing and developing data science and ML/AI applications
Managed Kubernetes Infrastructure
Scalable, cost-optimized, fully managed Kubernetes cluster specifically tuned for data-intensive batch workloads and GPU-intensive AI workloads
High Availability Management
Enterprise-grade managed infrastructure with built-in high availability for business-critical ML and data workloads
Security and Compliance
SOC2 and HIPAA compliant architecture with data and code isolation ensuring no data or code leaves the customer account
Compute Optimization
Cost-optimized compute resource allocation with support for demanding GPU requirements of modern AI applications
Standard contract
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