Amazon Athena vs. IBM watsonx.data

If you are looking to take a lot of the traditional "database administration" work off someone's plate, going with Amazon Athena certainly has "no code" options to optimize lots of database tasks. I would say this option is less appropriate if you have other Microsoft things at play, such as Power BI.

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IBM watsonx.data is well suited for use cases were you have to combine various data sources to build a lakehouse. It provides a secure framework to gather data and provide access to it to build ML/AI models. It allows users to focus on prompts and business logic than spend time on data engineering.

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• Nested Schemas like JSON data structure
• Ability to adapt the data model to fit your queries better
• Performance Improvement

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• It doesn't just store data but unlocks potential. I am able to analyse a vast amount of information, identify trends, and predict future outcomes.
• It not only gives me high quality but accessible data as well. It handles missing values, outliers and feature engineering with case.

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• Response caching can be improved.
• Data Partitioning is tricky and understanding of the same could be improved.

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• The UI can be slow to respond at times (just like many cloud services thought)
• Semantic automation is still in beta and has no Japanese support yet
• Loading data to the platform can be slow at times

Easy to use. Scalable. Gets the job of data warehousing setup done. Using the datalake on S3 has become super convenient.

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I can give it 10/10 due to its impact in data analysis management. This is the right software for driving business insights and enhancing effective decision making. The infrastructure has the formal tools for preparing data before using it to make critical decisions. The NLP has enhanced standard analysis of unstructured data from social media websites.

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Independently Invited by TrustRadius

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info

IBM watsonx.data has great capabilities on multiple data easy accessibility and easy to extract data and sharing to various platforms. The IBM watsonx.data still offers effective data protection and the ability to manage large amount of business data from one piont is productive. Data warehousing capability is another implortant of using IBM watsonx.data and helpful of real time analytics production.

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• The query speeds help us make more decisions in a day (speed).
• If you need more horsepower for specific times in the day this option helps scale.
• The security of your environment is well protected too.

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• 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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