Informatica Data Engineering Streaming vs Unifi comparison

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280 views|232 comparisons
100% willing to recommend
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Executive Summary

We performed a comparison between Informatica Data Engineering Streaming and Unifi based on real PeerSpot user reviews.

Find out what your peers are saying about Databricks, Amazon Web Services (AWS), Confluent and others in Streaming Analytics.
To learn more, read our detailed Streaming Analytics Report (Updated: April 2024).
768,578 professionals have used our research since 2012.
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  • "There is no license. The solution is free."
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    Top Answer:The controller makes it easy to control everything from one platform. The management is easy.
    Top Answer:In a high-density location, we're running into connectivity drops. There may be too many rouge devices broadcasting, and the devices is getting interference from another channel. The only to fix this… more »
    Ranking
    21st
    out of 38 in Streaming Analytics
    Views
    542
    Comparisons
    524
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    47th
    out of 100 in Data Integration
    Views
    280
    Comparisons
    232
    Reviews
    1
    Average Words per Review
    484
    Rating
    7.0
    Comparisons
    Also Known As
    Big Data Streaming, Informatica Intelligent Streaming, Intelligent Streaming
    Learn More
    Overview

    Informatica Intelligent Streaming allows organizations to prepare and process streams of data and uncover insights while acting in time to suit business needs. It can scale out horizontally and vertically to handle petabytes of data while honoring business service level agreements (SLAs). Intelligent Streaming provides pre-built high-performance connectors such as Kafka, HDFS, NoSQL databases, and enterprise messaging systems and data transformations to enable a code-free method of defining your data integration logic.

    The Unifi Data Platform breaks down the barriers of operational data silos and democratizes information across the enterprise. At the heart of the platform is a comprehensive suite of self-service data discovery and preparation tools to empower business users. Employing machine learning and artificial intelligence technologies, and optimized for the cloud, Unifi predicts what the business user wants to visualize and then connects the resulting data natively to the BI tool for fast, accurate results.

    Sample Customers
    Jewelry TV
    Big Incites, Cloudera, Flywheel Data, Hortonworks, MapR, Platfora, Qlik, Tableau Software, zData Inc.
    Top Industries
    VISITORS READING REVIEWS
    Financial Services Firm17%
    Computer Software Company16%
    Manufacturing Company14%
    Insurance Company7%
    VISITORS READING REVIEWS
    Financial Services Firm31%
    Real Estate/Law Firm16%
    Manufacturing Company14%
    Government9%
    Company Size
    VISITORS READING REVIEWS
    Small Business23%
    Midsize Enterprise9%
    Large Enterprise69%
    VISITORS READING REVIEWS
    Small Business28%
    Midsize Enterprise9%
    Large Enterprise63%
    Buyer's Guide
    Streaming Analytics
    April 2024
    Find out what your peers are saying about Databricks, Amazon Web Services (AWS), Confluent and others in Streaming Analytics. Updated: April 2024.
    768,578 professionals have used our research since 2012.

    Informatica Data Engineering Streaming is ranked 21st in Streaming Analytics while Unifi is ranked 47th in Data Integration with 2 reviews. Informatica Data Engineering Streaming is rated 0.0, while Unifi is rated 8.0. On the other hand, the top reviewer of Unifi writes "Makes integration and monitoring users very easy". Informatica Data Engineering Streaming is most compared with Google Cloud Dataflow, Apache Flink, Starburst Enterprise, Databricks and IBM InfoSphere DataStage, whereas Unifi is most compared with SSIS and Informatica Enterprise Data Catalog.

    We monitor all Streaming Analytics 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.