Diyotta vs Informatica Enterprise Data Lake comparison

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46 views|32 comparisons
Informatica Logo
434 views|413 comparisons
100% willing to recommend
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Executive Summary

We performed a comparison between Diyotta and Informatica Enterprise Data Lake based on real PeerSpot user reviews.

Find out what your peers are saying about Microsoft, Informatica, Oracle and others in Data Integration.
To learn more, read our detailed Data Integration Report (Updated: April 2024).
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Pricing and Cost Advice
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  • "The licenses attached to the solution are highly priced."
  • More Informatica Enterprise Data Lake Pricing and Cost Advice →

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    Top Answer:The process of using the tool's scalability option is well documented.
    Top Answer:The licenses attached to the solution are highly priced. Informatica has licensing models for every product and for every feature, like the web service feature, which is something my company doesn't… more »
    Top Answer:Governance, data dictionary, and data cataloging are not available in Informatica Enterprise Data Lake. A lot of businesses are facing issues related to understanding the area revolving around… more »
    Ranking
    89th
    out of 100 in Data Integration
    Views
    46
    Comparisons
    32
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    41st
    out of 100 in Data Integration
    Views
    434
    Comparisons
    413
    Reviews
    1
    Average Words per Review
    832
    Rating
    7.0
    Comparisons
    Also Known As
    Informatica Intelligent Data Lake, Intelligent Data Lake
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    Overview
    Diyotta is an enterprise-class data integration platform that connects enterprises to all their data. It provides a single integrated platform that makes it easy to quickly and efficiently integrate enormous volumes of data from any source to any target, whether on-premises, in the cloud, or a hybrid environment. Diyotta is built for modern data architectures where data can be processed in batch, or real-time streams, in the most optimized fashion. It also scales in all dimensions with its agent-based architecture and optimizes the data movement across several data-points easily and efficiently.
    Diyotta accelerates time to value for new investments in big data platforms and ongoing modernization of data warehouses. With Diyotta, companies fully leverage their existing platform investment, move to modern data platforms with the highest level of reuse possible, and quickly respond to business needs for new data and analytics.

    The Intelligent Data Lake enables raw big data to be systematically transformed into fit-for-purpose data sets for a variety of data consumers. Data scientists and analysts can quickly find the data they’re looking for using semantic and faceted search. They can see data profiles, lineage, and other relationships to know whether they can trust the data and whether it’s fit-for-use in their analytic projects. 

    Top Industries
    No Data Available
    VISITORS READING REVIEWS
    Financial Services Firm15%
    Manufacturing Company11%
    Computer Software Company11%
    Healthcare Company9%
    Company Size
    No Data Available
    VISITORS READING REVIEWS
    Small Business11%
    Midsize Enterprise11%
    Large Enterprise78%
    Buyer's Guide
    Data Integration
    April 2024
    Find out what your peers are saying about Microsoft, Informatica, Oracle and others in Data Integration. Updated: April 2024.
    767,847 professionals have used our research since 2012.

    Diyotta is ranked 89th in Data Integration while Informatica Enterprise Data Lake is ranked 41st in Data Integration with 1 review. Diyotta is rated 0.0, while Informatica Enterprise Data Lake is rated 7.0. On the other hand, the top reviewer of Informatica Enterprise Data Lake writes "A scalable tool that needs a lot of maintenance due to its unstable nature". Diyotta is most compared with , whereas Informatica Enterprise Data Lake is most compared with Palantir Foundry.

    See our list of best Data Integration vendors.

    We monitor all Data Integration reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.