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    Select Star - Metadata Context Platform for Data & AI

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    Deployed on AWS
    Select Star is a modern data governance platform that helps organizations manage and understand their data at scale - enabling AI, analytics, and self-service across the business.

    Overview

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    Select Star is a modern data governance platform that helps organizations manage and understand their data at scale - enabling AI, analytics, and self-service across the business.

    It automatically catalogs datasets, traces end-to-end lineage, and builds a shared business glossary and semantic layer, so teams can confidently work with trusted data. With a user-friendly data portal and built-in automation, Select Star supports use cases including data democratization, data governance, semantic layers, and cloud data migrations - serving as a foundational layer for enterprise AI and data initiatives.

    Highlights

    • One-click integration with Snowflake, AWS Redshift, Google BigQuery, Tableau, Looker, dbt, Salesforce, and more.
    • Automated data catalog, lineage, and business glossary used by leading Silicon Valley companies and forward-thinking enterprises including Intercom, Bose, Opendoor, PandaDoc, and Fivetran.
    • Free 14-day trial available from https://selectstar.com.

    Details

    Delivery method

    Deployed on AWS

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    Features and programs

    Financing for AWS Marketplace purchases

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    Pricing

    Select Star - Metadata Context Platform for Data & AI

     Info
    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.

    12-month contract (2)

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    Dimension
    Description
    Cost/12 months
    Growth
    2 integrations, 1,000 tables, 20 users
    $9,720.00
    Enterprise
    Unlimited Integrations, 5,000 tables, 100 users. Enterprise Features
    $73,765.00

    Additional usage costs (3)

     Info

    The following dimensions are not included in the contract terms, which will be charged based on your usage.

    Dimension
    Cost/unit
    Per 100 additional tables per month
    $75.00
    Per additional user per month
    $15.00
    Per additional data source per month
    $500.00

    Vendor refund policy

    All fees are non-cancellable and non-refundable except as required by law.

    Custom pricing options

    Request a private offer to receive a custom quote.

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    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.

    Usage information

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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

    Email / Chat for all customers. Dedicated Slack channel and Customer Success Manager for select tiers support@selectstar.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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    Updated weekly

    Accolades

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    Top
    10
    In Data Catalogs
    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
    Reviews
    Functionality
    Ease of use
    Customer service
    Cost effectiveness
    Positive reviews
    Mixed reviews
    Negative reviews

    Overview

     Info
    AI generated from product descriptions
    Data Catalog Automation
    Automatically catalogs datasets across multiple data sources and platforms
    Data Lineage Tracking
    Traces comprehensive end-to-end data lineage and dependencies
    Multi-Platform Integration
    Supports one-click integration with various data warehouses, analytics tools, and business intelligence platforms
    Semantic Layer Generation
    Builds shared business glossary and semantic layer for consistent data understanding
    Enterprise Data Governance
    Provides comprehensive metadata management framework for supporting data governance and AI initiatives
    AI Governance
    Provides active metadata-driven governance framework for AI strategies with rules, processes, and responsibilities to mitigate risks and ensure ethical AI practices
    Data Catalog Management
    Enables comprehensive discovery and understanding of data assets across hybrid and multi-cloud environments with full business context and metadata insights
    Automated Data Lineage
    Offers end-to-end lineage tracking with complete transparency into data transformation and flow across systems, including summary-level and technical lineage details
    Privacy Workflow Automation
    Centralizes and automates privacy workflows to address global regulatory requirements and encourage collaborative data protection
    Data Quality Management
    Replaces manual processes with automated data monitoring and rule management to scale data quality across enterprise environments
    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

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    Standard contract
    No
    No

    Customer reviews

    Ratings and reviews

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    0 AWS reviews
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    49 external reviews
    Star ratings include only reviews from verified AWS customers. External reviews can also include a star rating, but star ratings from external reviews are not averaged in with the AWS customer star ratings.
    Computer Software

    Quick to start, couple of tweaks are needed

    Reviewed on Jul 25, 2025
    Review provided by G2
    What do you like best about the product?
    As a user it's easy to get going with the basics of the platform. Full set up including things like field definitions, ownership of items looks as if it will be time consuming for all team members. We are early in our implementation but the AI feature has already been super helpful in finding fields that I don't know the location of inside of snowflake!
    What do you dislike about the product?
    Things like the popularity or view counts of a dashboard, table etc. seem to be limited to Select Star users. Would be much more beneficial to have popularity (especially for dashboards) be based on actual end user views.
    What problems is the product solving and how is that benefiting you?
    We have a large data ecosphere including AWS, snowflake, fivetran, dbt, powerbi etc. Keeping these platforms documented and in sync can be challenging. Select Star brings all of that together for us.
    Telecommunications

    Great oversights into complex data warehouse

    Reviewed on Jul 18, 2025
    Review provided by G2
    What do you like best about the product?
    I've found it great at surfacing relevant tables and columns from natural language queries. I work with a large data warehouse, and often am consuming tables that have been through many DBTs. It's lineage is a good way to get to the base data without manually reading and following the SQL myself
    What do you dislike about the product?
    I find that for tables with many dependencies, it's sometimes hard to visualise which parts of the query are resulting in which aspect of the lineage. It also surfaces tables that I don't have read access to in Snowflake when I try to read them.
    What problems is the product solving and how is that benefiting you?
    It's providing insights into what is available for me to query, and how to debug data when the outcome is not what I anticipate
    Manufacturing

    Straightforward, east to use

    Reviewed on Jul 18, 2025
    Review provided by G2
    What do you like best about the product?
    Clean UI that enables fast insights across several of our data tools
    What do you dislike about the product?
    Would love for additional functionality, like monitoring and alerting
    What problems is the product solving and how is that benefiting you?
    Select Star helps us identify data usage both within our data lake and within our BI tools. This ensures we know where are critical assets are. We also leverage the tools when making updates to our data pipelines, to ensure we have a clear view on potential impacts.
    Information Technology and Services

    Excellent Tool for Data Governance

    Reviewed on Jul 15, 2025
    Review provided by G2
    What do you like best about the product?
    Strong tool for building data governance muscles -- AI compatibility, quick feedback/response time from team & speedy incorporation of feedback.
    What do you dislike about the product?
    Small things like sorting & searching functionalities could be improved, but team has been very receptive to feedback & quick to implement. Select Star has been a great partner for our organization as we build a data governance model.
    What problems is the product solving and how is that benefiting you?
    Before Select Star, we had little organized data governance at our company & this has helped us build a model that will be sustainable & scalable. It's a great tool & easy to use.
    Wenhe L.

    Great tool

    Reviewed on Jun 13, 2025
    Review provided by G2
    What do you like best about the product?
    I’ve been using Select Star for a few months now, and it’s become one of the more reliable tools in my data stack. The UI is clean and easy to navigate, and it’s helped me trace column-level lineage across some pretty complex models without having to dig through layers of SQL manually. That alone saves me a lot of time.
    What do you dislike about the product?
    Select Star’s been useful for lineage and metadata, but it’s not without flaws. The lineage view can get messy with large datasets, and sometimes it’s hard to filter down to what you actually need. The popularity and usage metrics are helpful, but not always accurate. It’s great for surfacing insights, but not something I’d rely on as a source of truth without a second look.
    What problems is the product solving and how is that benefiting you?
    Select Star helps solve the problem of data discoverability and tribal knowledge. Before, it was hard to know which tables were actually being used, who owned them, or how things were connected without asking around or digging through SQL. Now I can quickly trace lineage, see usage stats, and figure out what’s safe to change or deprecate. It’s especially helpful for reducing back-and-forth when onboarding new team members or answering ad hoc requests.
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