Informatica Data Engineering Streaming vs SAS Access comparison

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372 views|307 comparisons
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Executive Summary

We performed a comparison between Informatica Data Engineering Streaming and SAS Access 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.
Featured Review
Use Informatica Data Engineering Streaming?
Robert Heck
Quotes From Members
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Here are some excerpts of what they said:
Pricing and Cost Advice
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  • "The pricing model is complex and is based on modular packages as well as the size of the applicable environment."
  • "The solution's pricing and licensing are expensive."
  • More SAS Access Pricing and Cost Advice →

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    Top Answer:The most valuable feature is you have native access to the external databases.
    Top Answer:The solution's pricing and licensing are expensive. It is not the cheapest software. However, SAS systems are solutions that customers use over decades of time and you can rely on the solution being… more »
    Top Answer:The solution can provide access to the newer databases that come out sooner.
    Ranking
    21st
    out of 38 in Streaming Analytics
    Views
    542
    Comparisons
    524
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    42nd
    out of 100 in Data Integration
    Views
    372
    Comparisons
    307
    Reviews
    1
    Average Words per Review
    316
    Rating
    8.0
    Comparisons
    Also Known As
    Big Data Streaming, Informatica Intelligent Streaming, Intelligent Streaming
    SAS/Access
    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.

    SAS/ACCESS is an out-of-the-box solution for integrating SAS and third-party databases. You can read, write and update data regardless of the database or platform. Because the data appears native to SAS, there is no need to learn Structured Query Language (SQL) or any other database-specific query languages.
    Sample Customers
    Jewelry TV
    Los Angeles County, West Midlands Police, Credit Guarantee Corporation, Canada Post, Allianz Global Corporate & Specialty
    Top Industries
    VISITORS READING REVIEWS
    Financial Services Firm17%
    Computer Software Company16%
    Manufacturing Company14%
    Insurance Company7%
    VISITORS READING REVIEWS
    Financial Services Firm23%
    Computer Software Company11%
    Insurance Company10%
    Government8%
    Company Size
    VISITORS READING REVIEWS
    Small Business23%
    Midsize Enterprise9%
    Large Enterprise69%
    VISITORS READING REVIEWS
    Small Business23%
    Midsize Enterprise5%
    Large Enterprise73%
    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 SAS Access is ranked 42nd in Data Integration with 3 reviews. Informatica Data Engineering Streaming is rated 0.0, while SAS Access is rated 9.0. On the other hand, the top reviewer of SAS Access writes "The solution is stable, scalable, and flexible". Informatica Data Engineering Streaming is most compared with Google Cloud Dataflow, Apache Flink, Starburst Enterprise, Databricks and IBM InfoSphere DataStage, whereas SAS Access is most compared with Delphix, SSIS, Zapier and Toad Data Point.

    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.