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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

    Neo4j

    Score9 out of 10
    N/ANeo4j is an open source embeddable graph database developed by Neo Technologies based in San Mateo, California with an office in Sweden.

    $65

    per month

    Pricing
    IBM watsonx.dataNeo4j
    Editions & Modules
    No answers on this topic
    Aura Professional
    $65
    per month
    Community Edition
    Free
    Enterprise Edition
    Contact Sales
    Aura Free
    Free
    Aura Enterprise
    Contact Sales
    Offerings
    Pricing Offerings
    IBM watsonx.dataNeo4j
    Free Trial
    YesYes
    Free/Freemium Version
    NoYes
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details——
    More Pricing Information
    Community Pulse
    IBM watsonx.dataNeo4j
    Considered Both Products
    IBM
    No answer on this topic
    Neo Technologies
    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.dataNeo4j
    Small Businesses
    No answers on this topic
    No answers on this topic
    Medium-sized Companies
    SAP Business Data Cloud
    Score8.6 out of 10
    No answers on this topic
    Enterprises
    SAP Business Data Cloud
    Score8.6 out of 10
    No answers on this topic
    All AlternativesView all alternativesView all alternatives
    User Ratings
    IBM watsonx.dataNeo4j
    Likelihood to Recommend
    8.2
    (34 ratings)
    9.0
    (10 ratings)
    Likelihood to Renew
    7.3
    (4 ratings)
    -
    (0 ratings)
    Usability
    8.0
    (10 ratings)
    9.0
    (2 ratings)
    Availability
    8.2
    (1 ratings)
    -
    (0 ratings)
    Performance
    8.2
    (1 ratings)
    -
    (0 ratings)
    Support Rating
    9.1
    (4 ratings)
    -
    (0 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.dataNeo4j
    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
    Neo Technologies
    Neo4J is great for creating network graphs or illustrating how things are related. It is also good for finding individuals or things that have greater influence than others in a system. It is not appropriate if you have standard data sets that can be analyzed using conventional methods or visualized using Tableau, for example.
    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
    Neo Technologies
    • Mature Query language, I found Cypher QL to be mature in handling all sorts of problems we throw at it. Its expressive enough to be intuitive while providing rich features for various scenarios.
    • Native support for REST API, that makes interacting with Neo4J intuitive and easy.
    • Support for Procedures in Java, procedures are custom code that could be added to the Neo4J to write custom querying of data. The best part about the procedures is it could be invoked using the REST API. This allows us to overcome any shortcomings from their Cypher query language.
    • Nice UI and interface for executing the Query and visualizing the response.
    • UI access controlled by User credentials allows for neat access controls.
    • Awesome free community edition for small-scale projects.
    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
    Neo Technologies
    • One of the hardest challenges that Neo4j had to solve was the horizontal scaling problem. I am not updated on recent developments, but at the time of my use, I couldn't find a viable solution.
    • Neo4j does not play with other open source APIs like Blueprint. You have to use the native Neo4j API.
    • There wasn't a visual tool to see your data. Of course, third party tools are always available, but I would have loved something which came with the Neo4j bundle. I love that Docker comes bundled with Kitematic, so it's not wrong to hope that Neo4j could also ship with some default visualization software.
    Incentivized
    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
    Neo Technologies
    No answers on this topic
    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
    Neo Technologies
    Learning cypher was super easy coming from a SQL background. Furthermore, the docs Neo4j provides on their website make it really easy to pull up a reference, guide or a quick example. The mac app they provide is also really well designed with good visualisation tools, with the ability to easily use colour, line thickness etc to help navigate your data.
    Incentivized
    Read full review
    Reliability and Availability
    IBM
    good recovery features
    Incentivized
    Read full review
    Neo Technologies
    No answers on this topic
    Performance
    IBM
    scalable product
    Incentivized
    Read full review
    Neo Technologies
    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.
    Read full review
    Neo Technologies
    No answers on this topic
    Online Training
    IBM
    easy to follow documentation, support is there when needed
    Incentivized
    Read full review
    Neo Technologies
    No answers on this topic
    Implementation Rating
    IBM
    use saas service
    Incentivized
    Read full review
    Neo Technologies
    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
    Read full review
    Neo Technologies
    Neo4j is a graph store and has different use cases compared to another NoSQL Document store like MongoDB. MongoDB is a bad choice when joins are common as existing operators for joining two documents (similar to tables in a relational store) as Mongo 3.5 use SQL like join algorithms which are expensive. MongoDB is a great choice when distributed schemaless rich document structures are important requirements. Cross document transaction support is not native to MongoDB yet, whereas Neo4J is ACID complaint with all its operations.
    Incentivized
    Read full review
    Scalability
    IBM
    cognos integration works great
    Incentivized
    Read full review
    Neo Technologies
    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
    Neo Technologies
    • Positive: Less complex queries on graph structures, than in relational databases.
    • Negative: maintenance is a huge deal, things doesn't work and break, requiring lengthy restore operations.
    Read full review
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