Ataccama ONE Platform vs IBM Infosphere Information Analyzer vs Oracle Data Quality comparison

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Ataccama Logo
232 views|167 comparisons
100% willing to recommend
IBM Logo
750 views|277 comparisons
66% willing to recommend
Oracle Logo
489 views|222 comparisons
88% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between Ataccama ONE Platform, IBM Infosphere Information Analyzer, and Oracle Data Quality based on real PeerSpot user reviews.

Find out what your peers are saying about Informatica, SAP, Talend and others in Data Quality.
To learn more, read our detailed Data Quality Report (Updated: April 2024).
767,995 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"The notable aspect lies in the workflow structure, where building the workflow aligns significantly with data governance.""The ease of use of the user console is valuable.""The drag-and-drop feature is incredibly flexible and straightforward.""The desktop version of the solution was particularly valuable to me, primarily for creating components. We opted for the data quality aspect to assess the quality of our data warehouse. The functionalities available allowed us to not only check data quality but also serve as an ETL tool. This versatility enabled data transformation and storage in various formats, including files on platforms like SharePoint or local online directories. The flexibility of the tool catered to the specific needs of those building components, contributing to our desired outcomes.""The product’s important feature is data profiling and quality check."

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"What's most useful in IBM Infosphere Information Analyzer is you can access it from anywhere. It's also pretty easy to learn, so even non-technical business people use it and found the solution easy to learn.""You can also schedule and run data quality on the critical data elements on the databases."

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"With Oracle Data Quality, the most valuable feature is entity matching.""Once it is set up, it is easy to use and maintain.""The features I like most about Oracle Data Quality include extraction, transformation, and validation, which makes it a multipurpose product such as Oracle GoldenGate and Oracle Data Integrator. I also like that Oracle Data Quality is very fast, so you can use it for a large volume of data within a short period. You have to do the validation very quickly, so the solution helps in that area of data quality. Another feature of Oracle Data Quality that I like is the MDM (Master Data Management) where you'll have a single source of protection, and this makes the solution perfect and helpful to my company.""I have found the most valuable features to be data cleansing and deduplication."

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Cons
"It is complicated to fetch 20-25 reports when we profile the data.""There is a notable challenge in having to provide detailed filters before the site recognizes the search criteria.""Speaking specifically about the version we use, version 12.3, I'm unsure if this has been addressed in subsequent versions. One improvement I'd like to see pertains to the language used in certain components, especially in data quality checks. The language complexity posed a challenge for beginners. Although we had on-site assistance from Ataccama, making it manageable for us, some individuals found it difficult to comprehend, necessitating additional support. The provision of a comprehensive guide for on-premise installation can also be enhanced. The lack of detailed information on the solution's workings and the overwhelming nature of notifications, with extensive content, were areas of concern. Streamlining the notification content in newer versions would significantly expedite issue resolution.""Data movement is a pain.""I believe it would be beneficial if it could enhance its flexibility to connect with a wider range of downstream systems beyond just Excel and Postgres."

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"The solution is outdated and is not on cloud.""What could be improved or added to IBM Infosphere Information Analyzer is more connectors. This solution comes in a package with IBM InfoSphere DataStage and is missing a lot of connectors to various, new data sources, so IBM needs to work on that area. Compared with competitors such as Informatica and Alation which acquired other small companies to work on the connectors, IBM has not done any testing and has tried to develop the connectors in-house, but that's taking a lot of time. As a result, my company is unable to connect to a lot of data sources, particularly modern data sources."

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"Oracle Data Quality should integrate with data warehousing solutions such as Azure and CWS Office. For example, having the ability to integrate with tools, such as Azure Synapse and SQL data warehousing would be a great benefit.""If the length of time required for deployment was reduced then it would be very helpful.""Oracle is currently not that intuitive. We need to use programmers to write code for a lot of the procedures. We need to have them write CL SQL code and write a CL script.""Though validation is good and fast enough in Oracle Data Quality, an area for improvement is the accuracy of the validation. Though the solution offers multidimensional validation, it needs a bit more improvement in the accuracy aspect because smaller products can offer better accuracy in terms of validation compared to Oracle Data Quality. What I'd like to see from the solution in its next release, is an increase in compliances and regulations that would allow it to cover all industries because multiple verticals demand data quality nowadays, and this improvement will be helpful as Oracle Data Quality is an in-built delivered solution."

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Pricing and Cost Advice
  • "The product is reasonably priced."
  • "Despite not being extremely low-cost, the pricing appears reasonable, making it a profitable and viable choice for companies that prioritize data security and adhere to specific policies."
  • "Our licensing model wasn't user-specific; instead, we paid fees for the engine and maintenance. As we didn't have a support contract, maintenance fees were likely nonexistent. Regarding the upgrade, we had an account for the initial two or three years, and considering the features provided by the solution, the pricing was reasonable."
  • More Ataccama ONE Platform Pricing and Cost Advice →

  • "For the licensing cost of IBM Infosphere Information Analyzer, I have no information on the exact cost, but as it's bundled with other IBM products such as IBM InfoSphere Information Governance Catalog and IBM InfoSphere DataStage, the bundle is expensive when compared to competitor pricing."
  • More IBM Infosphere Information Analyzer Pricing and Cost Advice →

  • "The vendor needs to revisit their pricing strategy."
  • "The price of this solution is comparable to other similar solutions."
  • More Oracle Data Quality Pricing and Cost Advice →

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    Questions from the Community
    Top Answer:Here are some thoughts on how to fill the gaps in Ataccama's Metadata Management capabilities, as reported by others… more »
    Top Answer:The notable aspect lies in the workflow structure, where building the workflow aligns significantly with data… more »
    Top Answer:The focus for future improvements lies in strengthening the handling of unstructured data. This entails adapting to new… more »
    Top Answer:They have developed a new product called Watson Catalog, an upgrade from IBM Infosphere Information Analyzer. It is a… more »
    Top Answer:We use all the tools in their suite, and their data quality and governance are great. You can do data profiling and… more »
    Top Answer:I rate the solution a four out of ten. The solution is useful and can do the job, but there are other new tools in the… more »
    Top Answer:The features I like most about Oracle Data Quality include extraction, transformation, and validation, which makes it a… more »
    Top Answer:Though validation is good and fast enough in Oracle Data Quality, an area for improvement is the accuracy of the… more »
    Top Answer:We're mostly using Oracle Data Quality during the ETVL process, or to make sure that there's one source of truth and… more »
    Ranking
    8th
    out of 56 in Data Quality
    Views
    232
    Comparisons
    167
    Reviews
    5
    Average Words per Review
    535
    Rating
    7.8
    11th
    out of 56 in Data Quality
    Views
    750
    Comparisons
    277
    Reviews
    3
    Average Words per Review
    607
    Rating
    7.0
    10th
    out of 56 in Data Quality
    Views
    489
    Comparisons
    222
    Reviews
    1
    Average Words per Review
    936
    Rating
    9.0
    Comparisons
    Also Known As
    Information Analyzer
    Datanomic
    Learn More
    Overview

    Ataccama ONE Platform is a comprehensive data management and governance solution designed to address the challenges faced by organizations in managing and leveraging their data assets. Its primary use case is to enable organizations to gain control over their data, improve data quality, and ensure compliance with data regulations.

    The most valuable functionality of Ataccama ONE includes data profiling, data quality management, data integration, master data management, and metadata management. These features allow organizations to understand the quality and structure of their data, integrate data from various sources, create a single view of their master data, and manage metadata to ensure data lineage and governance.

    By leveraging Ataccama ONE, organizations can achieve several benefits. Firstly, it helps in improving data quality by identifying and resolving data issues, ensuring accurate and reliable data for decision-making. Secondly, it enables organizations to streamline data integration processes, reducing the time and effort required for data integration projects. Thirdly, it facilitates effective master data management, enabling organizations to have a consistent and accurate view of their critical data entities. Lastly, it helps organizations in complying with data regulations by providing data lineage, data privacy, and data governance capabilities.

    IBM Information Analyzer provides data quality assessment, data quality monitoring and data rule design and analysis capabilities. This software helps you derive more meaning from your enterprise data, reduces the risk of proliferating incorrect information, facilitates the delivery of trusted content, and helps to lower data integration costs.
    Oracle Enterprise Data Quality delivers a complete, best-of-breed approach to party and product data, resulting in trustworthy master data that integrates with applications to improve business insight.
    Sample Customers
    Société Générale, First Data, Raiffeisenbank International, T-Mobile, Avast, RSA, Toronto Public Library
    Integra LifeSciences, Longjiang Bank Corp., Webster University, Swedish Armed Forces, Edith Cowan University, Premier, PRISA Digital, TIAA CREF
    Roka Bioscience, Statistics Centre _ Abu Dhabi , Raymond James Financial inc., CaixaBank, Industrial Bank of Korea, Posco, NHS Business Services Authority, RWE Power, LIFE Financial Group,
    Top Industries
    VISITORS READING REVIEWS
    Financial Services Firm19%
    Computer Software Company11%
    Insurance Company9%
    Manufacturing Company8%
    VISITORS READING REVIEWS
    Financial Services Firm32%
    Insurance Company12%
    Computer Software Company9%
    Manufacturing Company9%
    VISITORS READING REVIEWS
    Financial Services Firm28%
    Computer Software Company10%
    Manufacturing Company10%
    Wholesaler/Distributor4%
    Company Size
    VISITORS READING REVIEWS
    Small Business16%
    Midsize Enterprise12%
    Large Enterprise72%
    VISITORS READING REVIEWS
    Small Business16%
    Midsize Enterprise6%
    Large Enterprise78%
    REVIEWERS
    Midsize Enterprise22%
    Large Enterprise78%
    VISITORS READING REVIEWS
    Small Business17%
    Midsize Enterprise11%
    Large Enterprise72%
    Buyer's Guide
    Data Quality
    April 2024
    Find out what your peers are saying about Informatica, SAP, Talend and others in Data Quality. Updated: April 2024.
    767,995 professionals have used our research since 2012.