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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

    Microsoft Azure

    Score8.5 out of 10
    N/AMicrosoft Azure is a cloud computing platform and infrastructure for building, deploying, and managing applications and services through a global network of Microsoft-managed datacenters.

    $29

    per month

    Pricing
    IBM watsonx.dataMicrosoft Azure
    Editions & Modules
    No answers on this topic
    Developer
    $29
    per month
    Standard
    $100
    per month
    Professional Direct
    $1000
    per month
    Basic
    Free
    per month
    Offerings
    Pricing Offerings
    IBM watsonx.dataMicrosoft Azure
    Free Trial
    YesYes
    Free/Freemium Version
    NoYes
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details—The free tier lets users have access to a variety of services free for 12 months with limited usage after making an Azure account.
    More Pricing Information
    Community Pulse
    IBM watsonx.dataMicrosoft Azure
    Considered Both Products
    IBM
    No answer on this topic
    Microsoft
    No answer on this topic
    Key User Insights
    Would buy again
    94%
    Would buy again
    34 Answers
    92%
    Would buy again
    34 Answers
    Delivers good value for the price
    100%
    Delivers good value for the price
    30 Answers
    94%
    Delivers good value for the price
    31 Answers
    Happy with the feature set
    97%
    Happy with the feature set
    35 Answers
    95%
    Happy with the feature set
    35 Answers
    Lived up to sales and marketing promises
    100%
    Lived up to sales and marketing promises
    23 Answers
    89%
    Lived up to sales and marketing promises
    24 Answers
    Implementation went as expected
    100%
    Implementation went as expected
    29 Answers
    94%
    Implementation went as expected
    34 Answers
    Features
    IBM watsonx.dataMicrosoft Azure
    Infrastructure-as-a-Service (IaaS)
    Comparison of Infrastructure-as-a-Service (IaaS) features of IBM watsonx.data and Microsoft Azure
    Feature
    IBM watsonx.data
    -
    Ratings
    Microsoft Azure
    8.4
    27 Ratings
    2% above category average
    Service-level Agreement (SLA) uptime00 Ratings8.126 Ratings
    Dynamic scaling00 Ratings8.725 Ratings
    Elastic load balancing00 Ratings8.624 Ratings
    Pre-configured templates00 Ratings8.225 Ratings
    Monitoring tools00 Ratings8.326 Ratings
    Pre-defined machine images00 Ratings8.424 Ratings
    Operating system support00 Ratings8.926 Ratings
    Security controls00 Ratings8.626 Ratings
    Automation00 Ratings8.224 Ratings
    Best Alternatives
    IBM watsonx.dataMicrosoft Azure
    Small Businesses
    No answers on this topic
    IBM Cloud Object Storage
    Score9 out of 10
    Medium-sized Companies
    SAP Business Data Cloud
    Score8.6 out of 10
    IBM Cloud Bare Metal Servers
    Score8.7 out of 10
    Enterprises
    SAP Business Data Cloud
    Score8.6 out of 10
    SAP on IBM Cloud
    Score9 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    IBM watsonx.dataMicrosoft Azure
    Likelihood to Recommend
    8.2
    (34 ratings)
    8.7
    (96 ratings)
    Likelihood to Renew
    7.3
    (4 ratings)
    10.0
    (17 ratings)
    Usability
    8.0
    (10 ratings)
    8.3
    (36 ratings)
    Availability
    8.2
    (1 ratings)
    6.8
    (2 ratings)
    Performance
    8.2
    (1 ratings)
    -
    (0 ratings)
    Support Rating
    9.1
    (4 ratings)
    9.0
    (27 ratings)
    Online Training
    8.2
    (1 ratings)
    -
    (0 ratings)
    Implementation Rating
    8.2
    (1 ratings)
    8.0
    (2 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.dataMicrosoft Azure
    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.
    Read full review
    Microsoft
    Azure is particularly well suited for enterprise environments with existing Microsoft investments, those that require robust compliance features, and organizations that need hybrid cloud capabilities that bridge on-premises and cloud infrastructure. In my opinion, Azure is less appropriate for cost-sensitive startups or small businesses without dedicated cloud expertise and scenarios requiring edge computing use cases with limited connectivity. Azure offers comprehensive solutions for most business needs but can feel like there is a higher learning curve than other cloud-based providers, depending on the product and use case.
    Read full review
    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
    Microsoft
    • Microsoft Azure is highly scalable and flexible. You can quickly scale up or down additional resources and computing power.
    • You have no longer upfront investments for hardware. You only pay for the use of your computing power, storage space, or services.
    • The uptime that can be achieved and guaranteed is very important for our company. This includes the rapid maintenance for security updates that are mostly carried out by Microsoft.
    • The wide range of capabilities of services that are possible in Microsoft Azure. You can practically put or create anything in Microsoft Azure.
    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
    Microsoft
    • The cost of resources is difficult to determine, technical documentation is frequently out of date, and documentation and mapping capabilities are lacking.
    • The documentation needs to be improved, and some advanced configuration options require research and experimentation.
    • Microsoft's licensing scheme is too complex for the average user, and Azure SQL syntax is too different from traditional SQL.
    Read full review
    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
    Read full review
    Microsoft
    Moving to Azure was and still is an organizational strategy and not simply changing vendors. Our product roadmap revolved around Azure as we are in the business of humanitarian relief and Azure and Microsoft play an important part in quickly and efficiently serving all of the world. Migration and investment in Azure should be considered as an overall strategy of an organization and communicated companywide.
    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
    Microsoft
    As Microsoft Azure is [doing a] really good with PaaS. The need of a market is to have [a] combo of PaaS and IaaS. While AWS is making [an] exceptionally well blend of both of them, Azure needs to work more on DevOps and Automation stuff. Apart from that, I would recommend Azure as a great platform for cloud services as scale.
    Incentivized
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    Reliability and Availability
    IBM
    good recovery features
    Incentivized
    Read full review
    Microsoft
    It has proven to be unreliable in our production environment and services become unavailable without proper notification to system administrators
    Incentivized
    Read full review
    Performance
    IBM
    scalable product
    Incentivized
    Read full review
    Microsoft
    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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    Microsoft
    We were running Windows Server and Active Directory, so [Microsoft] Azure was a seamless transition. We ran into a few, if any support issues, however, the availability of Microsoft Azure's support team was more than willing and able to guide us through the process. They even proposed solutions to issues we had not even thought of!
    Incentivized
    Read full review
    Online Training
    IBM
    easy to follow documentation, support is there when needed
    Incentivized
    Read full review
    Microsoft
    No answers on this topic
    Implementation Rating
    IBM
    use saas service
    Incentivized
    Read full review
    Microsoft
    As I have mentioned before the issue with my Oracle Mismatch Version issues that have put a delay on moving one of my platforms will justify my 7 rating.
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    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
    Read full review
    Microsoft
    As I continue to evaluate the "big three" cloud providers for our clients, I make the following distinctions, though this gap continues to close. AWS is more granular, and inherently powerful in the configuration options compared to [Microsoft] Azure. It is a "developer" platform for cloud. However, Azure PowerShell is helping close this gap. Google Cloud is the leading containerization platform, largely thanks to it building kubernetes from the ground up. Azure containerization is getting better at having the same storage/deployment options.
    Incentivized
    Read full review
    Scalability
    IBM
    cognos integration works great
    Incentivized
    Read full review
    Microsoft
    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
    Microsoft
    • For about 2 years we didn't have to do anything with our production VMs, the system ran without a hitch, which meant our engineers could focus on features rather than infrastructure.
    • DNS management was very easy in Azure, which made it easy to upgrade our cluster with zero downtime.
    • Azure Web UI was easy to work with and navigate, which meant our senior engineers and DevOps team could work with Azure without formal training.
    Incentivized
    Read full review
    ScreenShots