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    Amundsen: It is a metadata-driven application

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    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

    Delivery method

    Delivery option
    64-bit (x86) Amazon Machine Image (AMI)

    Latest version

    Operating system
    Ubuntu 20.04 lts

    Deployed on AWS

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    Features and programs

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    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.

    Amundsen: It is a metadata-driven application

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    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.

    Usage costs (236)

     Info
    • ...
    Dimension
    Cost/hour
    m4.large
    Recommended
    $0.50
    t3.micro
    AWS Free Tier
    $0.50
    t2.micro
    AWS Free Tier
    $0.50
    r5d.12xlarge
    $0.50
    i3.2xlarge
    $0.50
    m5.4xlarge
    $0.50
    i2.2xlarge
    $0.50
    h1.2xlarge
    $0.50
    r5d.xlarge
    $0.50
    m4.4xlarge
    $0.50

    Vendor refund policy

    The instance can be terminated at anytime to stop incurring charges

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    Legal

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    Usage information

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    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

    Second release

    Additional details

    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.

    Product comparison

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    Accolades

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    Top
    100
    In Analytic Platforms
    Top
    10
    In Data Catalogs, Data Governance
    Top
    10
    In Data Catalogs, Data Governance, Master Data Management

    Customer reviews

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    Sentiment is AI generated from actual customer reviews on AWS and G2
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    Overview

     Info
    AI generated from product descriptions
    Metadata Search Engine
    Utilizes page-rank style search algorithm to prioritize search results based on usage patterns
    Metadata Indexing
    Indexes diverse data resources including tables, dashboards, and data streams
    Search Backend Technology
    Leverages Elasticsearch for powering frontend metadata searching capabilities
    Metadata Persistence Layer
    Implements Apache Atlas as the persistent storage mechanism for metadata management
    Data Ingestion Framework
    Supports data graph and search index development through Python scripts or Airflow DAGs
    Data Discovery
    Powerful search algorithms for discovering data assets across tables, views, BI dashboards, SQL snippets, and pipelines
    Data Lineage
    Automated lineage construction through parsing SQL query history with intelligent bot-driven tracking
    Data Governance
    Automatic PII data detection with dynamic access policy creation and ecosystem management capabilities
    Data Quality Profiling
    Automated generation of data quality profiles with variable type detection, frequency distribution, missing value, and outlier analysis
    Multi-Platform Integration
    Deep integrations with data platforms including Snowflake, Redshift, Databricks, Looker, and Power BI for comprehensive metadata management
    Metadata Management
    Centralized metadata aggregation from multiple disparate data sources with unified platform capabilities
    Behavioral Analysis
    Advanced engine for analyzing data usage patterns, interactions, and metadata insights
    AI Governance Framework
    Comprehensive system for tracking data lineage, ensuring data quality, transparency, and compliance for AI models
    Search and Discovery
    Automated platform enabling comprehensive search, description, and understanding of data assets including reports and models
    Architectural Extensibility
    Open and flexible architecture supporting integration across different data environments and platforms

    Contract

     Info
    Standard contract
    No
    No

    Customer reviews

    Ratings and reviews

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