Amazon Athena vs. MySQL Heatwave

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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If you need a highly performant database, which is much faster than a conventional RDBMS, without worrying about infrastructure scaling, performance tuning, and query optimization, go for MySQL Heatwave. This is the best in the market. It is also very secure and reliable. Regular backups ensure that your data is safe and consistent always.

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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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• Data mining
• Data analysis
• Parallel computing

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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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• Pricing can be a concern if not configured properly
• Not available as a standalone or on premise offering. Only available through OCI
• No Jobs interface like that in Databricks with Spark and Delta Lake

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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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We have not used other platforms. So, after a market survey on price, support and facilities, we have decided to go for MySQL Heatwave platform. Which integrates many technologies and provide best support, service and pricing. Also, it provides access to database. The speed of the execution is very high.

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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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• We no longer have to write data pipelines in Spark anymore for executing ML/Analytics Workloads
• Execution time of the analytics platforms has reduced considerably
• Overall time to market has gone down drastically

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