Oracle Data Quality vs Trillium TS Insight comparison

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489 views|222 comparisons
88% willing to recommend
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42 views|21 comparisons
Comparison Buyer's Guide
Executive Summary

We performed a comparison between Oracle Data Quality and Trillium TS Insight 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).
767,319 professionals have used our research since 2012.
Featured Review
Venkatraman Bhat
Use Trillium TS Insight?
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
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 →

    Information Not Available
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    Use our free recommendation engine to learn which Data Quality solutions are best for your needs.
    767,319 professionals have used our research since 2012.
    Questions from the Community
    Top Answer: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… more »
    Top Answer: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… 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 that there's no redundancy at all. We're also using the solution for quality… more »
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    Earn 20 points

    Ranking
    10th
    out of 56 in Data Quality
    Views
    489
    Comparisons
    222
    Reviews
    1
    Average Words per Review
    936
    Rating
    9.0
    36th
    out of 56 in Data Quality
    Views
    42
    Comparisons
    21
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    Comparisons
    Also Known As
    Datanomic
    TS Insight
    Learn More
    Overview
    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.
    Information Not Available
    Sample Customers
    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,
    Absa, British Airways, FedEx
    Top Industries
    VISITORS READING REVIEWS
    Financial Services Firm27%
    Computer Software Company9%
    Manufacturing Company9%
    Wholesaler/Distributor4%
    No Data Available
    Company Size
    REVIEWERS
    Midsize Enterprise22%
    Large Enterprise78%
    VISITORS READING REVIEWS
    Small Business17%
    Midsize Enterprise12%
    Large Enterprise72%
    No Data Available
    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.
    767,319 professionals have used our research since 2012.

    Oracle Data Quality is ranked 10th in Data Quality with 8 reviews while Trillium TS Insight is ranked 36th in Data Quality. Oracle Data Quality is rated 8.4, while Trillium TS Insight is rated 0.0. The top reviewer of Oracle Data Quality writes "Fast, has good extraction, validation, and transformation features, and provides good support". On the other hand, Oracle Data Quality is most compared with Informatica Data Quality, whereas Trillium TS Insight is most compared with .

    See our list of best Data Quality vendors.

    We monitor all Data Quality 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.