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Atlan vs. IBM watsonx.data intelligence

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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Atlan

    Score9.5 out of 10
    N/AAtlan is a modern data collaboration workspace (like Github for engineering or Figma for design). By acting as a virtual hub for data assets ranging from tables and dashboards to models & code, Atlan enables teams to create a single source of truth for all their data assets, and collaborate across the modern data stack through deep integrations with tools like Slack, BI tools, data science tools and more. Key capabilities: Search, catalog and browse data assets…N/A

    IBM watsonx.data intelligence

    Score8.2 out of 10
    N/AIBM® watsonx.data intelligence provides data governance software (formerly IBM Knowledge Catalog) that provides a data catalog to automate data discovery, data quality management and data protection - for both structured and unstructured data.N/A
    Pricing
    AtlanIBM watsonx.data intelligence
    Editions & Modules
    No answers on this topic
    No answers on this topic
    Offerings
    Pricing Offerings
    AtlanIBM watsonx.data intelligence
    Free Trial
    NoYes
    Free/Freemium Version
    NoNo
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional DetailsIBM watsonx.data intelligence's pricing that scales with usage and functionality. watsonx.data intelligence can be deployed in various environments such as cloud, hybrid, or on-premises. The on-premises offering is available via subscription or perpetual licenses, charged with a consumption-based Resource Unit model. The SaaS offering is available via Resource Units or Instances, with the ability to upgrade to higher tiers as needed.
    More Pricing Information
    User Ratings
    AtlanIBM watsonx.data intelligence
    Likelihood to Recommend
    8.7
    (2 ratings)
    8.7
    (3 ratings)
    User Testimonials
    AtlanIBM watsonx.data intelligence
    Likelihood to Recommend
    Atlan
    Well suited if you're using a lot of tools that work in tandem with this such as Snowflake, Amazon, S3, Tableau, Power, BI, Redshift, and others. It also has robust functionality for the quality management of metadata sets. The most helpful thing here is all the dashboards that provide visibility in one place. In my experience, less suited for collaboration across teams. Not a ton of ways to do things in real-time together.
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    IBM
    The IBM Watson Knowledge Catalog is most well suited for large companies. With large companies storing data for a long amount of time, this can be helpful to allow all team members to find documents with ease. It would be less appropriate for storage that is deleted very often or does not needs to be saved for long amounts of time.
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    Pros
    Atlan
    • Here, it is very easy to extract and modify the data.
    • We can do very quick and smooth integration over here.
    • It's OpenSource framework provides extension capabilities to the API it uses
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    IBM
    • Data discovery.
    • Technical Data Lineage.
    • Business Data Lineage.
    • Data .
    • Multiple Data Catalog Management.
    • Creation of Governance Rules.
    • Data Masking.
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    Cons
    Atlan
    • API documentation could be improved
    • Support team could be quicker in their response
    • Not a lot of "help" type information users can self-access
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    IBM
    • I think an industry-specific data catalog service will be good.
    • Effective alignment of IBM consulting services and bringing in an Industry point of view will be great.
    • Effective reach out like roadshows, etc. will be good.
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    Alternatives Considered
    Atlan
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    IBM
    The IBM Watson Knowledge Catalog is a great amount of storage for the price. It is easily accessed by all users in the company. It provides great search features and clear pathways to locate documents. This is great for the team and our client when needing access to a specific document.
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    Return on Investment
    Atlan
    • Atlan has certainly saved time and money by consolidating our metadata sets
    • Integrations with Amazon and Tableau have definetely sped up our time to value
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    IBM
    • The negative note: is that it needs to have a very secure cloud infrastructure and with its data well defined for integration with other databases.
    • The positive point: allows for quick data discoveries aiding a quick implementation of privacy programs.
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