Sold by: Miri Infotech
Deployed on AWS
Free Trial
AWS Free Tier
Amundsen is a kind of metadata-driven application, which is the holy grail of future applications.
Overview
Amundsen is used to enhance the productivity of data analysis, data scientists and engineers during interaction with data. It does that by indexing data resources (tables, dashboards, streams, etc.) and powering a page-rank style search based on usage patterns (e.g. high queried tables show up earlier than less queried tables).
Intellectual Property Statement This offer inculcates a wide range copies of open source and free software, but the Copyrights, Patents and Trademarks are legal protections for original owner.
Highlights
- Elasticsearch is used to power frontend metadata searching.
- Apache Atlas as the persistent layer, to offer various metadata.
- Data ingestion library for developing metadata graph and search index. Python script or an Airflow DAG is used to import data.
Details
Sold by
Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Ubuntu 24.04 lts
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
Free trial
Try this product free for 5 days according to the free trial terms set by the vendor. Usage-based pricing is in effect for usage beyond the free trial terms. Your free trial gets automatically converted to a paid subscription when the trial ends, but may be canceled any time before that.
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
If you are an AWS Free Tier customer with a free plan, you are eligible to subscribe to this offer. You can use free credits to cover the cost of eligible AWS infrastructure. See AWS Free Tier for more details. If you created an AWS account before July 15th, 2025, and qualify for the Legacy AWS Free Tier, Amazon EC2 charges for Micro instances are free for up to 750 hours per month. See Legacy AWS Free Tier for more details.
Dimension | Cost/hour |
|---|---|
m4.large Recommended | $0.50 |
t3.micro | $0.50 |
t2.micro | $0.50 |
t2.2xlarge | $0.50 |
z1d.12xlarge | $0.50 |
r5a.2xlarge | $0.50 |
m5d.4xlarge | $0.50 |
c5n.4xlarge | $0.50 |
x1e.xlarge | $0.50 |
t2.medium | $0.50 |
Dimensions summary
You pay by the hour for the EC2 instance that runs this pre-configured software. Each dimension maps to a specific EC2 instance type, so pricing scales with the compute size you pick. Smaller instances like t2.nano or t3.micro carry lower hourly rates. Larger memory, compute, GPU, or storage-optimized instances such as x1e.32xlarge, p3dn.24xlarge, or u-24tb1.metal cost more per hour. The software itself is the same across every option. You choose the instance size that fits your workload, and billing runs only while the instance is active.
Top-of-mind questions for buyers
You get a pre-configured Amazon Machine Image running the metadata application on Ubuntu. It includes three microservices: a frontend, a search service, and a metadata service, plus data ingestion and common libraries. The instance boots ready to run once you open the required ports and start it.
The hourly software charge accrues only while the instance runs. A fully stopped instance stops the hourly software billing. You may still pay underlying AWS storage fees for attached volumes while stopped, but the software meters running time only.
No. The software is identical across every instance type. Your choice only changes compute power, memory, storage, or GPU capacity, and the hourly rate that follows. You select the size that matches your data volume and query load, not different features.
miritech.com
Helpful?
Vendor refund policy
The instance can be terminated at anytime to stop incurring charges
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
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
Third release
Additional details
Usage instructions
Resources
Vendor resources
Support
Vendor support
All your queries are important to us. Please feel free to connect. 24X7 support provided for all the customers. We are happy to help you https://miritech.com/contact-us/ (510) 298-5936 Mailto: contact@miritech.com
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 Miri Infotech
By Atlan
By Alation Inc.
Top
100
In Analytic Platforms
Top
10
In Data Catalogs, Data Governance
Top
10
In Data Catalogs, Data Governance, Master Data Management
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
Metadata Storage Layer
Apache Atlas serves as the persistent layer to store and manage various metadata.
Data Resource Indexing
Indexing of data resources including tables, dashboards, and streams to enable discovery and search capabilities.
Data Ingestion Framework
Data ingestion library supporting Python scripts and Apache Airflow DAGs for importing data and building metadata graphs.
Usage-Based Search Ranking
Search results ranked by usage patterns where frequently queried resources appear with higher priority than less frequently accessed resources.
Automated Data Discovery and Context Generation
Automatically ingests from AWS data estate including Redshift, S3, Glue, Athena, Lake Formation, and SageMaker to generate business context with certified definitions, lineage, ownership, and quality scores in two weeks.
Context Development Lifecycle Management
Provides Build, Test, Review, Approve, Deploy, and Learn stages where AI bootstraps context and simulates tests while domain experts resolve ambiguity and approve before deployment.
Multi-Agent Context Delivery Protocol
Delivers unified context through MCP Servers to multiple AI agents including Amazon Quick Suite, SageMaker Unified Studio, Claude, Copilot, Cursor, and Gemini via a single open protocol.
Native AWS Data Platform Integrations
Natively integrates with Amazon Redshift, S3, Glue, Athena, Lake Formation, and SageMaker Unified Studio, plus Snowflake, Databricks, dbt, Airflow, and leading BI platforms.
Compounding Learning Loop
Continuously improves context quality through memory, feedback, and traces from every agent interaction, enabling the context layer to become smarter with each query.
Metadata Centralization
Centralizes metadata from disparate sources into a unified platform for discovering, describing, governing, and managing data assets including data, BI reports, and AI models.
Behavioral Analysis Engine
Incorporates a Behavioral Analysis Engine to provide advanced analytics and insights across data assets.
Data Lineage and Tracking
Enables documentation of insights and tracking of data lineage across teams for transparency and compliance purposes.
Self-Service Analytics
Supports self-service analytics capabilities allowing users to independently discover and analyze data assets.
AI Governance Framework
Provides an AI governance framework that ensures data quality, transparency, and compliance for AI initiatives.
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.