Amazon Athena vs. IBM watsonx.data

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Amazon Athena
Score 9.1 out of 10
N/A
Amazon Athena is an interactive query service that makes it easy to analyze data directly in Amazon S3 using standard SQL. With a few clicks in the AWS Management Console, customers can point Athena at their data stored in S3 and begin using standard SQL to run ad-hoc queries and get results in seconds. Athena is serverless, so there is no infrastructure to setup or manage, and customers pay only for the queries they run. You can use Athena to process logs, perform ad-hoc analysis, and run…
$5
per TB of Data Scanned
IBM watsonx.data
Score 8.3 out of 10
N/A
Watsonx.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
Amazon AthenaIBM watsonx.data
Editions & Modules
Price per Query
$5.00
per TB of Data Scanned
No answers on this topic
Offerings
Pricing Offerings
Amazon AthenaIBM watsonx.data
Free Trial
NoYes
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
Amazon AthenaIBM watsonx.data
Top Pros

No answers on this topic

Top Cons

No answers on this topic

Features
Amazon AthenaIBM watsonx.data
Database-as-a-Service
Comparison of Database-as-a-Service features of Product A and Product B
Amazon Athena
8.6
4 Ratings
1% below category average
IBM watsonx.data
-
Ratings
Automatic software patching8.22 Ratings00 Ratings
Database scalability9.03 Ratings00 Ratings
Automated backups7.73 Ratings00 Ratings
Database security provisions9.22 Ratings00 Ratings
Monitoring and metrics8.04 Ratings00 Ratings
Automatic host deployment9.22 Ratings00 Ratings
Best Alternatives
Amazon AthenaIBM watsonx.data
Small Businesses
IBM Cloudant
IBM Cloudant
Score 7.7 out of 10

No answers on this topic

Medium-sized Companies
IBM Cloudant
IBM Cloudant
Score 7.7 out of 10
Amazon Athena
Amazon Athena
Score 9.1 out of 10
Enterprises
IBM Cloudant
IBM Cloudant
Score 7.7 out of 10
Amazon Athena
Amazon Athena
Score 9.1 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Amazon AthenaIBM watsonx.data
Likelihood to Recommend
10.0
(4 ratings)
7.7
(11 ratings)
Usability
10.0
(1 ratings)
7.7
(6 ratings)
User Testimonials
Amazon AthenaIBM watsonx.data
Likelihood to Recommend
Amazon AWS
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
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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Pros
Amazon AWS
  • Nested Schemas like JSON data structure
  • Ability to adapt the data model to fit your queries better
  • Performance Improvement
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IBM
  • 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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Cons
Amazon AWS
  • Response caching can be improved.
  • Data Partitioning is tricky and understanding of the same could be improved.
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IBM
  • 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
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Usability
Amazon AWS
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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IBM
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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Alternatives Considered
Amazon AWS
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IBM
Oracle really cost effective solution, where it has the support of community, with rich integration of all wide range of oracle products. Amazon SageMaker is another cost effective solution, where is tightly coupled with AWS platform, in terms of performance it copes up really well for the large data sets. So that we can train AI data sets models well.
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Return on Investment
Amazon AWS
  • 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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IBM
  • Incorporates cognitive computing, natural language processing, machine learning and data analysis.
  • Includes structured, semi-structured and unstructured data.
  • Data visualization.
  • Reports on time.
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ScreenShots