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Informatica Cloud Data Quality vs. Nagios Log Server

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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Informatica Cloud Data Quality

    Score6.9 out of 10
    N/AThe vendor states that Informatica Data Quality empowers companies to take a holistic approach to managing data quality across the entire organization, and that with Informatica Data Quality, users are able to ensure the success of data-driven digital transformation initiatives and projects across users, types, and scale, while also automating mission-critical tasks.N/A

    Nagios Log Server

    Score8.8 out of 10
    N/ANagios Log Server provides centralized log management, monitoring and analysis software.

    $3,995

    Pricing
    Informatica Cloud Data QualityNagios Log Server
    Editions & Modules
    No answers on this topic
    1 Instance
    $3,995
    3 Instances
    $5,995
    10 Instances
    $14,995
    Offerings
    Pricing Offerings
    Informatica Cloud Data QualityNagios Log Server
    Free Trial
    NoNo
    Free/Freemium Version
    NoNo
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details——
    More Pricing Information
    Features
    Informatica Cloud Data QualityNagios Log Server
    Data Quality
    Comparison of Data Quality features of Informatica Cloud Data Quality and Nagios Log Server
    Feature
    Informatica Cloud Data Quality
    8.2
    4 Ratings
    4% below category average
    Nagios Log Server
    -
    Ratings
    Data source connectivity8.94 Ratings00 Ratings
    Data profiling8.74 Ratings00 Ratings
    Master data management (MDM) integration8.24 Ratings00 Ratings
    Data element standardization7.14 Ratings00 Ratings
    Match and merge7.94 Ratings00 Ratings
    Address verification8.44 Ratings00 Ratings
    Best Alternatives
    Informatica Cloud Data QualityNagios Log Server
    Small Businesses
    No answers on this topic
    SolarWinds Papertrail
    Score8.9 out of 10
    Medium-sized Companies
    No answers on this topic
    SolarWinds Kiwi Syslog Server
    Score8.1 out of 10
    Enterprises
    SAP Data Services
    Score7.8 out of 10
    SolarWinds Loggly
    Score7.7 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Informatica Cloud Data QualityNagios Log Server
    Likelihood to Recommend
    9.0
    (19 ratings)
    8.0
    (1 ratings)
    Likelihood to Renew
    6.6
    (14 ratings)
    -
    (0 ratings)
    Usability
    8.0
    (1 ratings)
    -
    (0 ratings)
    Availability
    9.0
    (2 ratings)
    -
    (0 ratings)
    Performance
    9.0
    (1 ratings)
    -
    (0 ratings)
    Support Rating
    -
    (0 ratings)
    9.0
    (1 ratings)
    Online Training
    10.0
    (1 ratings)
    -
    (0 ratings)
    Implementation Rating
    10.0
    (1 ratings)
    -
    (0 ratings)
    Product Scalability
    9.0
    (1 ratings)
    -
    (0 ratings)
    User Testimonials
    Informatica Cloud Data QualityNagios Log Server
    Likelihood to Recommend
    Informatica
    For effective data collaboration, systematic verification of customer information, and address, among others, Informatica Data Quality is a fruitful application to consider. Besides, Informatica Data Quality controls quality through a cleansing process, giving the company a professional outline of candid data profiling and reputable analytics. Finally, Informatica Data Quality allows the simplistic navigation of content, with a dashboard that supports predictability.
    Incentivized
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    Nagios Enterprises
    Nagios Log Server facilitates the ability to search all entries of logs in a quick and easy way. Beyond that, it has allowed us to configure alerts for notification when there are potential threats (may they be security threats or only application-side problems), and to filter the data for audits and compliance.
    Incentivized
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    Pros
    Informatica
    • The matching algorithms in IDQ are very powerful if you understand the different types that they offer (e.g., Hamming Distance, Jaro, Bigram, etc..). We had to play around with it to see which best suit our own needs of identifying and eliminating duplicate customers. Setting up the whole process (e.g., creating the KeyGenerator Transformation, setting up the matching threshold, etc..) can be somewhat time consuming and a challenge if you don't first standardize your data.
    • The integration with PowerCenter is great if you have both. You can either import your mappings directly to PowerCenter or to an XML file. The only downside is that some of the transformations are unique to IDQ, so you are not really able to edit them once in PowerCenter.
    • The standardizer transformation was key in helping us standardize our customer data (e.g., names, addresses, etc..). It was helpful due to having create a reference table containing the standardized value and the associated unstandardized values. What was great was that if you used Informatica Analyst, a business analyst could login and correct any of the values.
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    Nagios Enterprises
    • Log auditing.
    • Server monitoring.
    Incentivized
    Read full review
    Cons
    Informatica
    • Several partnerships diminishing the value of technologies
    • Unable to get list of objects from Repository (like sources & targets) that don't have any dependency
    • Scheduling: The built-in scheduling tool has many constraints such as handling Unix/VB scripts etc. Most enterprises use third party tools for this.
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    Nagios Enterprises
    • A bit hard to install and configure.
    • High price.
    Incentivized
    Read full review
    Likelihood to Renew
    Informatica
    As pointed out earlier, due all the robust features IDQ has, our use f the product is successful and stable. IDQ is being used in multiple sources (from CRM application and in batch mode). As this is an iterative process, we are looking to improve our system efficiency using IDQ.
    Read full review
    Nagios Enterprises
    No answers on this topic
    Usability
    Informatica
    Easy to use not only for developers but also business users
    Incentivized
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    Nagios Enterprises
    No answers on this topic
    Reliability and Availability
    Informatica
    The application works well except an occasional error out while using the system. It usually gets fixed when restarting the Infa server
    Incentivized
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    Nagios Enterprises
    No answers on this topic
    Performance
    Informatica
    Performance works just fine. It was able to load 200+ business terms, 150+ DQ automation, etc. very well.
    Incentivized
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    Nagios Enterprises
    No answers on this topic
    Support Rating
    Informatica
    No answers on this topic
    Nagios Enterprises
    Nagios support is decent. Nothing bad to say about them, but nothing extraordinary too. We mostly asked them questions instead of actively asking them to change or fix things for us. The response time is OK, commonly you can get a response in the same day. You can also call, but they are available only during US office hours.
    Incentivized
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    Alternatives Considered
    Informatica
    IDQ is used by a department at my organisation to ensure and enhance the data quality.
    The usage was started with address standardization and now it had been brought to altogether a next level of quality check where it fixes duplicates, junk characters, standardize the names, streets, product descriptions.
    In the past we had issues mainly with duplicate customers and products and this were affecting the sales projection and estimates.
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    Nagios Enterprises
    Windows Event Log doesn't have 10% of the capabilities of Nagios Log Server. No real-time alerts, no scheduling, no external plugins or APIs. Nothing. The only advantage is that it is a native Windows application.
    Incentivized
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    Scalability
    Informatica
    Scalability works as expected and it is truly an enterprise system.
    Incentivized
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    Nagios Enterprises
    No answers on this topic
    Return on Investment
    Informatica
    • Integration with tools like PowerCenter helped faster delivery of product, and at the same time conversion
    • Reduce overall project cost due to bad data , bad quality, exceptions identified nearing go-live and post production
    • Employee efficiency is increased exponentially due to more automated, customized tool
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    Nagios Enterprises
    • We could react in way less time to a lot of potential outages since we started using it.
    Incentivized
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