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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

    RavenDB

    Score8.1 out of 10
    N/ARavenDB is a NoSQL Document Database that is fully transactional (ACID) across the database and throughout clusters. The database minimizes the need for third party addons, tools, or support to boost developer productivity and get projects into production fast. Users can setup and secure a data cluster deploy in the cloud, on-premise or in a hybrid environment. RavenDB offers a Database as a Service solution, allowing users to pass on all…N/A
    Pricing
    IBM watsonx.dataRavenDB
    Editions & Modules
    No answers on this topic
    No answers on this topic
    Offerings
    Pricing Offerings
    IBM watsonx.dataRavenDB
    Free Trial
    YesYes
    Free/Freemium Version
    NoYes
    Premium Consulting/Integration Services
    NoYes
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details——
    More Pricing Information
    Features
    IBM watsonx.dataRavenDB
    NoSQL Databases
    Comparison of NoSQL Databases features of IBM watsonx.data and RavenDB
    Feature
    IBM watsonx.data
    -
    Ratings
    RavenDB
    9.1
    24 Ratings
    6% above category average
    Performance00 Ratings9.024 Ratings
    Availability00 Ratings8.923 Ratings
    Concurrency00 Ratings8.023 Ratings
    Security00 Ratings9.223 Ratings
    Scalability00 Ratings9.623 Ratings
    Data model flexibility00 Ratings9.924 Ratings
    Deployment model flexibility00 Ratings9.423 Ratings
    Best Alternatives
    IBM watsonx.dataRavenDB
    Small Businesses
    No answers on this topic
    IBM Cloudant
    Score7.4 out of 10
    Medium-sized Companies
    SAP Business Data Cloud
    Score8.6 out of 10
    IBM Cloudant
    Score7.4 out of 10
    Enterprises
    SAP Business Data Cloud
    Score8.6 out of 10
    IBM Cloudant
    Score7.4 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    IBM watsonx.dataRavenDB
    Likelihood to Recommend
    8.2
    (34 ratings)
    8.1
    (24 ratings)
    Likelihood to Renew
    7.3
    (4 ratings)
    9.5
    (5 ratings)
    Usability
    8.0
    (10 ratings)
    8.2
    (20 ratings)
    Availability
    8.2
    (1 ratings)
    -
    (0 ratings)
    Performance
    8.2
    (1 ratings)
    -
    (0 ratings)
    Support Rating
    9.1
    (4 ratings)
    8.1
    (21 ratings)
    Online Training
    8.2
    (1 ratings)
    -
    (0 ratings)
    Implementation Rating
    8.2
    (1 ratings)
    7.3
    (1 ratings)
    Configurability
    8.2
    (1 ratings)
    10.0
    (1 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.dataRavenDB
    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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    RavenDB
    If you're a.NET developer searching for a system other than SQL Server for business assessment, then you must try RavenDB. RavenDB is a fantastic document-oriented system that has been specifically developed to work with all.NET or Windows systems. Developers are continually working on such systems to eliminate their flaws while also providing a few benefits. We must refresh ourselves on a regular basis since the free software system is like an open area where anybody may stand up with a brilliant solution to the issue. RavenDB is absolutely worth a look
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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
    RavenDB
    • Document Database - no Object-Relational Impedance Mismatch
    • ACID support that is optimized for performance
    • Can be easily integrated into automated tests (unit tests)
    • Easily configurable via C# code
    • Comes directly with RavenStudio - no SSMS or SQL Developer required
    • In general low footprint when it comes to memory and disk consumption
    • Useful safety nets for new developers - e.g. by default an exception is thrown when you make too many requests within a session
    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
    RavenDB
    • The documentation is very good, but it's sometimes hard to find the topic I'm looking for.
    • Updating references is done manually. It would be nice if there was a feature to help with that. I'm not sure that's even possible though.
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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
    Read full review
    RavenDB
    We've had an excellent experience using RavenDB. Internally we are testing the newer features in 5.0 such as time series, which will effect the con specified previously dependent on the real world performance. We foresee that BattleCrate will continue to use RavenDB as we grow.
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    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
    RavenDB
    Really good .NET client that is very easy to use. The management studio is excellent and puts anything that Microsoft or Oracle have to shame. Very quick to develop with once the complexity hurdle has been overcome. Initially using it can be a bit painful until you fully grasp the event sourced nature of the indexing.
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    Reliability and Availability
    IBM
    good recovery features
    Incentivized
    Read full review
    RavenDB
    No answers on this topic
    Performance
    IBM
    scalable product
    Incentivized
    Read full review
    RavenDB
    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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    RavenDB
    The support is really fast and flexible. Since one single working day, we got a response to our first request, only 4 days later we got a technical demonstration for our complete developer team to get in touch with raven and its performance. Also during our development, we got a quick response to questions.
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    Online Training
    IBM
    easy to follow documentation, support is there when needed
    Incentivized
    Read full review
    RavenDB
    No answers on this topic
    Implementation Rating
    IBM
    use saas service
    Incentivized
    Read full review
    RavenDB
    RavenFS changed along the way and made us change the codes.
    Read full review
    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
    RavenDB
    The given alternatives are also powerful and really good noSQL databases but the highest availability of RavenDB allows me/us to know it a lot better. RavenDB is encrypted by default wherever we use it in production and it has a high level of documents compression.
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    Scalability
    IBM
    cognos integration works great
    Incentivized
    Read full review
    RavenDB
    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
    RavenDB
    • RavenDB has saved my customers a lot of money with their cloud services' tiered model. The database is able to grow with the project/company and can start out small at a low cost.
    • RavenDB is free for three nodes and three CPUs, which makes it great for development scenarios. You're able to start rapidly building applications without having to worry about licensing.
    • Scaling out has allowed us to use three small cloud servers when starting out and get the performance and throughput of a single larger server.
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