IBM watsonx.data vs. wasmCloud

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.

If you want to start pivoting your legacy code into a serverless paradigm this is the platform to target. If you want to start moving away from walled gardens and back into a space where code isn't centralized, costs can be offset by utilizing customer or edge hardware this is the platform to focus on. If you want a model that will scale well past many of the existing serverless frameworks, that won't get caught up in the security weaknesses of current paradigms this is what you need to invest in. If you want modern code to interact with legacy code in a safe way that doesn't expose vulnerabilities you can't patch against wasmCloud is awesome. If you want to write simple code that can jump from cloud to cloud to the user or edge node check it out!

• 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.

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• Host density of workloads
• Streamlined security approach to writing code and reducing bloat
• Interoperability of modules written in different languages

• 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.

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• Simplified open-source model for on-boarding devs, i.e. bare host no elixir/GUI
• Home-labbers guide to wasmCloud
• Spark more community involvement for capability providers

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.

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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.

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wasmCloud is still in the early stages of development but the product is rapidly evolving and stabilizing and I feel it will be a preferred way of deploying and managing remote, distributed applications in the future.

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good recovery features

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scalable product

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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.

The core team is extremely responsive in their provided channels. From slack to github issues, there is never a long wait for feedback or guidance.

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easy to follow documentation, support is there when needed

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use saas service

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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.

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Have not made a purchase yet as we are still in the POC stage.

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cognos integration works great

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The team is incredibly helpful and informative about the product - I have not needed to use their professional services thus far.

• 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

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• WasmCloud has massively simplified the required ops expertise needed to run modern software.