Sold by: Cloudwick
Deployed on AWS
Now Your Organization Can Unlock the Power of the AWS Modern Data Analytic Stack
Overview
Built only for AWS, the Amorphic Data Cloud for AWS is a fully-managed AWS ISV Certified solution that provides Data Platform-as-a-Service (DPaaS) simplicity and usability "out-of-the-box" for all your data and analytics workloads on AWS. Encompassing a built-in data catalog for search and sharing, the ability to manage users, roles, permissions, and security in one platform, along with machine learning and AI capabilities for advanced analytics, Amorphic deploys directly into your AWS account and provides your IT and data teams with instant managed access of all your data. Amorphic's self-service usability provides comprehensive end-to-end data management for better data-driven decision making.
Highlights
- Production ready: Through native API integration with over 60 AWS services - including Amazon Redshift, AWS Glue, Amazon QuickSight, Amazon SageMaker - Amorphic enables immediate access to your data through these services "out-of-the-box" - with zero IT development or support required.
- All Data and All Workloads: Amorphic enables all data -including unstructured data - to be unified from all workloads across both data warehouse and data lake environments, so you can securely and easily access your data for better data driven insights.
- All Data Sets: Amorphic connectors, data pipelines, and ELT make it easy for any user to create a data set, schedule, ingest and transform any unstructured, semi-structured or structured data set using single file upload, batch or streaming.
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Pricing
Pricing is based on the duration and terms of your contract 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.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/12 months |
|---|---|---|
Standard | Standard support tier | $36,000.00 |
Business | Business support tier | $60,000.00 |
Premium | Premium support tier | $150,000.00 |
Enterprise | Enterprise support tier | $350,000.00 |
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Refunds are not provided, but you can cancel at any time.
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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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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.
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Native AWS Service Integration
Native API integration with over 60 AWS services including Amazon Redshift, AWS Glue, Amazon QuickSight, and Amazon SageMaker for immediate data access without additional development.
Unified Data Management
Ability to unify all data types including unstructured, semi-structured, and structured data from both data warehouse and data lake environments across multiple workloads.
Built-in Data Catalog
Integrated data catalog functionality for search and sharing of data assets across the organization.
Access Control and Identity Management
Centralized management of users, roles, permissions, and security policies within a single platform.
Data Ingestion and Transformation
Support for multiple data ingestion methods including single file upload, batch processing, and streaming with ELT capabilities for data transformation.
Agentic Data Engineering Automation
Maia functions as virtual data engineers that autonomously design, build, optimize, and monitor data pipelines, automating ELT pipeline creation, debugging, and maintenance across Amazon Redshift, Snowflake, and Databricks.
Native AWS Service Integration
Platform integrates natively with Amazon Redshift, Amazon S3, AWS Lambda, AWS Fargate, Amazon EC2, AWS Glue, Amazon RDS, Amazon Athena, Amazon SageMaker, and AWS Bedrock for high-performance ELT execution.
Natural Language Pipeline Generation
Generates and optimizes SQL, Python, and orchestration logic from natural language prompts, enabling automated pipeline creation without manual coding.
AI-Ready Data Preparation
Automates RAG-ready data preparation, entity extraction, and sentiment analysis for generative AI workflows, with integration to AWS Bedrock for LLM processing.
Enterprise Security and Governance
Enforces runtime access controls through AWS IAM and Unity Catalog, maintains audit logging, lineage tracking, version control, and supports masking policies for secure data distribution across hybrid and multi-cloud environments.
AWS Service Integration
Secure connectivity to Amazon S3, Amazon Redshift, and Amazon RDS with push-down computation capabilities
Elastic Compute Scaling
Distributed processing powered by Amazon EKS supporting Python, R, Spark, and other frameworks for data and ML workloads
Pre-built AI Workflows
Integration with AWS AI services including Amazon SageMaker and Amazon Comprehend for accelerated AI development
Large Language Model Integration
LLM Mesh connectivity to Amazon Bedrock enabling Chat, RAG, and Agentic workflow capabilities
Visual Development Interface
Low-code visual platform for data preparation, pipeline creation, and machine learning model development accessible to both technical and non-technical users
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