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Astra DB, now part of IBM watsonx.data vs. IBM watsonx.data

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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Astra DB, now part of IBM watsonx.data

    Score8.8 out of 10
    N/AAstra DB is a vector database for developers. In 2025 Datastax, the developer and supporter of Astra DB, was acquired. Astra DB is now available as a component of the IBM watsonx.data Multicloud offering.N/A

    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
    Pricing
    Astra DB, now part of IBM watsonx.dataIBM watsonx.data
    Editions & Modules
    No answers on this topic
    No answers on this topic
    Offerings
    Pricing Offerings
    Astra DB, now part of IBM watsonx.dataIBM watsonx.data
    Free Trial
    YesYes
    Free/Freemium Version
    YesNo
    Premium Consulting/Integration Services
    YesNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details——
    More Pricing Information
    Community Pulse
    Astra DB, now part of IBM watsonx.dataIBM watsonx.data
    Considered Both Products
    Discontinued Products
    No answer on this topic
    IBM
    Chose IBM watsonx.data
    AstraDB was giving me vector database solutions, Retrieval Augmented Generation features and even Agentic workflows that IBM watsonx.data does not have currently. But the volume of data I've coming everyday and has to deal with everyday, can do anomaly detection just in plain …
    Incentivized
    Key User Insights
    Would buy again
    100%
    Would buy again
    46 Answers
    94%
    Would buy again
    34 Answers
    Delivers good value for the price
    100%
    Delivers good value for the price
    45 Answers
    100%
    Delivers good value for the price
    30 Answers
    Happy with the feature set
    98%
    Happy with the feature set
    45 Answers
    97%
    Happy with the feature set
    35 Answers
    Lived up to sales and marketing promises
    98%
    Lived up to sales and marketing promises
    40 Answers
    100%
    Lived up to sales and marketing promises
    23 Answers
    Implementation went as expected
    98%
    Implementation went as expected
    44 Answers
    100%
    Implementation went as expected
    29 Answers
    Features
    Astra DB, now part of IBM watsonx.dataIBM watsonx.data
    Vector Database
    Comparison of Vector Database features of Astra DB, now part of IBM watsonx.data and IBM watsonx.data
    Feature
    Astra DB, now part of IBM watsonx.data
    8.0
    12 Ratings
    1% above category average
    IBM watsonx.data
    -
    Ratings
    Vector Data Connection8.212 Ratings00 Ratings
    Vector Data Editing8.56 Ratings00 Ratings
    Attribute Management7.710 Ratings00 Ratings
    Geospatial Analysis8.26 Ratings00 Ratings
    Geometric Transformations8.06 Ratings00 Ratings
    Vector Data Visualization8.07 Ratings00 Ratings
    Coordinate Reference System Management:7.96 Ratings00 Ratings
    Data Import/Export8.011 Ratings00 Ratings
    Symbolization and Styling8.35 Ratings00 Ratings
    Data Sharing and Collaboration7.69 Ratings00 Ratings
    Best Alternatives
    Astra DB, now part of IBM watsonx.dataIBM watsonx.data
    Small Businesses
    No answers on this topic
    No answers on this topic
    Medium-sized Companies
    No answers on this topic
    SAP Business Data Cloud
    Score8.6 out of 10
    Enterprises
    No answers on this topic
    SAP Business Data Cloud
    Score8.6 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Astra DB, now part of IBM watsonx.dataIBM watsonx.data
    Likelihood to Recommend
    8.7
    (46 ratings)
    8.2
    (34 ratings)
    Likelihood to Renew
    -
    (0 ratings)
    7.3
    (4 ratings)
    Usability
    7.8
    (4 ratings)
    8.0
    (10 ratings)
    Availability
    -
    (0 ratings)
    8.2
    (1 ratings)
    Performance
    -
    (0 ratings)
    8.2
    (1 ratings)
    Support Rating
    8.9
    (4 ratings)
    9.1
    (4 ratings)
    Online Training
    -
    (0 ratings)
    8.2
    (1 ratings)
    Implementation Rating
    -
    (0 ratings)
    8.2
    (1 ratings)
    Configurability
    -
    (0 ratings)
    8.2
    (1 ratings)
    Ease of integration
    -
    (0 ratings)
    7.3
    (1 ratings)
    Product Scalability
    8.6
    (44 ratings)
    7.3
    (1 ratings)
    Vendor post-sale
    -
    (0 ratings)
    8.2
    (1 ratings)
    Vendor pre-sale
    -
    (0 ratings)
    8.2
    (1 ratings)
    User Testimonials
    Astra DB, now part of IBM watsonx.dataIBM watsonx.data
    Likelihood to Recommend
    Discontinued Products
    We've been super happy with Astra DB. It's been extremely well-suited for our vector search needs as described in previous responses. With Astra DB’s high-performance vector search, Maester’s AI dynamically optimizes responses in real-time, adapting to new user interactions without requiring costly retraining cycles.
    Incentivized
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    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
    Pros
    Discontinued Products
    • We need to be able to process a lot of data (our biggest clients process hundreds of milions of transactions every month). However, it is not only the amount of data, it is also an unpredictable patterns with spikes occuring at different points of time - something athat Astra is great at.
    • Our processing needs to be extremaly fast. Some of our clients use our enrichment in a synchronous way, meaning that any delay in processing is holding up the whole transaction lifecycle and can have a major impact on the client. Astra is very fast.
    • A close collaboration with GCP makes our life very easy. All of our technology sits in Google Cloud, so having Astra in there makes it a no-brainer solution for us.
    Incentivized
    Read full review
    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
    Cons
    Discontinued Products
    • Need better fine-grained Security options.
    • The support team sometimes requires the escalate button pressed on tickets, to get timely responses. I will say, once the ticket is escalated, action is taken.
    • They require better documentation on the migration of data. The three primary methods for migrating large data volumes are bulk, Cassandra Data Migrator, and ZDM (Zero Downtime Migration Utility). Over time I have become very familiar will all three of these methods; however, through working with the Services team and the support team, it seemed like we were breaking new ground. I feel if the utilities were better documented and included some examples and/or use cases from large data migrations; this process would have been easier. One lesson learned is you likely need to migrate your application servers to the same cloud provider you host Astra on; otherwise, the latency is too large for latency-sensitive applications.
    Incentivized
    Read full review
    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
    Likelihood to Renew
    Discontinued Products
    No answers on this topic
    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
    Usability
    Discontinued Products
    It's a great product but suffers with counters. This isn't a deal breaker but lets down what is otherwise a good all round solution
    Incentivized
    Read full review
    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
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    Reliability and Availability
    Discontinued Products
    No answers on this topic
    IBM
    good recovery features
    Incentivized
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    Performance
    Discontinued Products
    No answers on this topic
    IBM
    scalable product
    Incentivized
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    Support Rating
    Discontinued Products
    Their response time is fast, in case you do not contact them during business hours, they give a very good follow-up to your case. They also facilitate video calls if necessary for debugging.
    Incentivized
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    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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    Online Training
    Discontinued Products
    No answers on this topic
    IBM
    easy to follow documentation, support is there when needed
    Incentivized
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    Implementation Rating
    Discontinued Products
    No answers on this topic
    IBM
    use saas service
    Incentivized
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    Alternatives Considered
    Discontinued Products
    Graph, search, analytics, administration, developer tooling, and monitoring are all incorporated into a single platform by Astra DB. Mongo Db is a self-managed infrastructure. Astra DB has Wide column store and Mongo DB has Document store. The best thing is that Astra DB operates on Java while Mongo DB operates on C++
    Incentivized
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    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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    Scalability
    Discontinued Products
    We are well aware of the Cassandra architecture and familiar with the open source tooling that Datastax provides the industry (K8sSandra / Stargate) to scale Cassandra on Kubernetes.
    Having prior knowledge of Cassandra / Kubernetes means we know that under the hood Astra is built on infinitely scalable technologies. We trust that the foundations that Astra is built on will scale so we know Astra will scale.
    Incentivized
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    IBM
    cognos integration works great
    Incentivized
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    Return on Investment
    Discontinued Products
    • Better uptime due to the managed service having no outages
    • Less technical debt because we don't need to worry about upgrading our Cassandra clusters
    • Lower cost on infrastructure as a whole
    • Quick and easy to integrate vector search into our tech stack
    Incentivized
    Read full review
    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
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