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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    IBM watsonx.data

    Score8.4 out of 10
    N/AWatsonx.data is presented as an open, hybrid and governed data store that makes it possible for enterprises to scale analytics and AI with a fit-for-purpose data store, built on an open lakehouse architecture, supported by querying, governance and open data formats to access and share data.N/A

    Talend Data Fabric

    Score10 out of 10
    N/AThe Talend Data Fabric helps organizations to achieve and maintain complete, trustworthy, and uncompromised data, so that they can stay in control, mitigate risk, and drive value.N/A
    Pricing
    IBM watsonx.dataTalend Data Fabric
    Editions & Modules
    No answers on this topic
    No answers on this topic
    Offerings
    Pricing Offerings
    IBM watsonx.dataTalend Data Fabric
    Free Trial
    YesNo
    Free/Freemium Version
    NoNo
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details——
    More Pricing Information
    Community Pulse
    IBM watsonx.dataTalend Data Fabric
    Considered Both Products
    IBM
    Chose IBM watsonx.data
    with iceberg open table format and Presto engine the performance and flexibility increased and also with watsonx.ai with GENAI capability which other tools lag as of now.
    Incentivized
    Qlik
    No answer on this topic
    Key User Insights
    Would buy again
    94%
    Would buy again
    34 Answers
    No answers on this topic
    Delivers good value for the price
    100%
    Delivers good value for the price
    30 Answers
    No answers on this topic
    Happy with the feature set
    97%
    Happy with the feature set
    35 Answers
    No answers on this topic
    Lived up to sales and marketing promises
    100%
    Lived up to sales and marketing promises
    23 Answers
    No answers on this topic
    Implementation went as expected
    100%
    Implementation went as expected
    29 Answers
    No answers on this topic
    Best Alternatives
    IBM watsonx.dataTalend Data Fabric
    Small Businesses
    No answers on this topic
    No answers on this topic
    Medium-sized Companies
    SAP Business Data Cloud
    Score8.6 out of 10
    SAP Datasphere
    Score8.6 out of 10
    Enterprises
    SAP Business Data Cloud
    Score8.6 out of 10
    SAP Datasphere
    Score8.6 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    IBM watsonx.dataTalend Data Fabric
    Likelihood to Recommend
    8.2
    (34 ratings)
    9.6
    (7 ratings)
    Likelihood to Renew
    7.3
    (4 ratings)
    8.0
    (1 ratings)
    Usability
    8.0
    (10 ratings)
    7.0
    (1 ratings)
    Availability
    8.2
    (1 ratings)
    -
    (0 ratings)
    Performance
    8.2
    (1 ratings)
    -
    (0 ratings)
    Support Rating
    9.1
    (4 ratings)
    10.0
    (1 ratings)
    Online Training
    8.2
    (1 ratings)
    -
    (0 ratings)
    Implementation Rating
    8.2
    (1 ratings)
    -
    (0 ratings)
    Configurability
    8.2
    (1 ratings)
    -
    (0 ratings)
    Ease of integration
    7.3
    (1 ratings)
    -
    (0 ratings)
    Product Scalability
    7.3
    (1 ratings)
    -
    (0 ratings)
    Vendor post-sale
    8.2
    (1 ratings)
    -
    (0 ratings)
    Vendor pre-sale
    8.2
    (1 ratings)
    -
    (0 ratings)
    User Testimonials
    IBM watsonx.dataTalend Data Fabric
    Likelihood to Recommend
    IBM
    Real-time transaction processing (both reads and writes) is where DataStax Enterprise shines. It's very fast with linear scalability should more resources be needed. Additional nodes are added very easily. DataStax Enterprise on its own (without Solr or Spark enabled) isn't well suited for long complicated reports. The data model doesn't support joining multiple tables together which is common in BI reporting.
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    Qlik
    Truly trusted contact center where the effective solution is always guaranteed. It is not a one-off fix to a specific data integration or management problem. It is a permanent and scalable solution to manage all of your data under a unified environment. Easy to use, great performance, used it for our internal data warehouse. Easy to build and connect to our data sources such as Salesforce, Netsuite, and Marketo.
    Incentivized
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    Pros
    IBM
    • Datastax Cassandra provides high availability and good performance for a database. It is built on top of open source Apache Cassandra so you can always somewhat understand the internal functioning and why.
    • Datastax Cassandra is fairly simple to start using, you can install/setup your cluster and be productive in 1 day.
    • Datastax Cassandra provides a lot of good detailed documentation, and when starting, the detailed free videos on the Datastax site and documentation are very helpful.
    • Datastax Enterprise Edition of Cassandra provides more tools, good support, and quick response SLA for enterprise business support.
    Incentivized
    Read full review
    Qlik
    • It supports a wide variety of connectors (Systems/endpoints)
    • It provides great flexibility for developers as it not only has a lot of predefined ready to use the function but also provides the ability to use complex java code within the platform. Great tool if you have good developers available.
    Incentivized
    Read full review
    Cons
    IBM
    • Interface do need some improvement to be more intuitive for analysts like me.
    • Configuring multiple data sources can require support, as it isn't easy for new users. So, it can be made easier.
    • Additional ETL features can be added, so users don't have to switch between tools.
    Incentivized
    Read full review
    Qlik
    • The print and export functionality are missing in the Community version which frustrates a lot of our clients as well as internal users.
    • The learning curve is very steep for all Talend products including DQ.
    • Lack of easy to create workflows for jobs that can be repeated.
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    Likelihood to Renew
    IBM
    As an open source technology Cassandra can be readily used with or without any commercial support. DataStax provides value-added services and features, and in the end it is up to individual situations to strike a balance between the desirability of such support/service versus the associated cost.
    Incentivized
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    Qlik
    Lack of report export and publication! Steep learning curve!
    Read full review
    Usability
    IBM
    DataStax has a good community built around it and has amazing scalability options. Though the initial setup is a bit costly, in the long run, it makes up for it. It also has powerful monitoring tools and a clean UI.
    Incentivized
    Read full review
    Qlik
    At this moment the usability of Talend Data Quality is optimal, too bad I cannot say the same in the first three months, it was always a problem due to its steep learning curve, but what matters is being able to use it effectively at this precise moment.
    Incentivized
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    Reliability and Availability
    IBM
    good recovery features
    Incentivized
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    Qlik
    No answers on this topic
    Performance
    IBM
    scalable product
    Incentivized
    Read full review
    Qlik
    No answers on this topic
    Support Rating
    IBM
    We have had a few situations where we caused an outage or something has gone wrong and we are able to get a support person to offer live help within minutes. The escalation process is excellent - the best I've seen - and the support team is incredibly strong. Outside of emergencies, the team is very helpful with general questions and working through data model exercises and the subscription I believe still comes with some hours to help get the data model reviewed.
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    Qlik
    Talend Data Quality gave us direct help in the learning process and prevented us from taking many more months to adapt and I appreciate this from the heart, I think that thanks to the support we can have very detailed reports that help increase the use of Talend Data Quality in the company.
    Incentivized
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    Online Training
    IBM
    easy to follow documentation, support is there when needed
    Incentivized
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    Qlik
    No answers on this topic
    Implementation Rating
    IBM
    use saas service
    Incentivized
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    Qlik
    No answers on this topic
    Alternatives Considered
    IBM
    Claude is better for troubleshooting actual OPS/REXX but that's not an IBM product so I understand why IBM watsonx.data isn't great for that, but if IBM watsonx.data did help with code then it would be the only product that I use.
    Incentivized
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    Qlik
    The engine with which it works to process a lot of information is striking, the comparison also being the connectors it has for different RDBMS, which other tools do not count as they are GNU licenses or community editions. The friendly and intuitive environment is what catches the eye. that's why I choose Talend over any other tool
    Incentivized
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    Scalability
    IBM
    cognos integration works great
    Incentivized
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    Qlik
    No answers on this topic
    Return on Investment
    IBM
    • for one automation project, we managed to cut cloud storage costs by a third through IBM watsonx.data's lakehouse optimization
    • data integration projects have had a 20 % reduction in turnaround times. Can only imagine how that will improve with the Claude partnership
    Incentivized
    Read full review
    Qlik
    • Definitely simplified the development efforts on our end in doing the data integration, saving lots of human hours.
    • Small company, so cost could be a problem for these services, but works so far.
    Incentivized
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    ScreenShots