MySQL vs. MySQL Heatwave

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
MySQL
Score 7.8 out of 10
N/A
MySQL is a popular open-source relational and embedded database, now owned by Oracle.N/A
MySQL Heatwave
Score 6.5 out of 10
N/A
HeatWave is an in-memory query accelerator developed for Oracle MySQL Database Service. It’s a massively parallel, hybrid, columnar, query-processing engine with algorithms for distributed query processing that provide high performance for queries.N/A
Pricing
MySQLMySQL Heatwave
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
MySQLMySQL Heatwave
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
MySQLMySQL Heatwave
Considered Both Products
MySQL
Chose MySQL
I have evaluated MySQL Heatwave for some ETL pulls in our database to generate reports for stakeholders. It helped me to do so.
MySQL Heatwave
Chose MySQL Heatwave
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 …
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MySQLMySQL Heatwave
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Score 8.8 out of 10
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Score 8.6 out of 10
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Score 8.8 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
MySQLMySQL Heatwave
Likelihood to Recommend
8.1
(140 ratings)
10.0
(2 ratings)
Likelihood to Renew
9.0
(5 ratings)
-
(0 ratings)
Usability
8.0
(12 ratings)
-
(0 ratings)
Support Rating
9.0
(3 ratings)
-
(0 ratings)
Implementation Rating
8.0
(1 ratings)
-
(0 ratings)
User Testimonials
MySQLMySQL Heatwave
Likelihood to Recommend
Oracle
MySQL is best suited for applications on platform like high-traffic content-driven websites, small-scale web apps, data warehouses which regards light analytical workloads. However its less suited for areas like enterprise data warehouse, OLAP cubes, large-scale reporting, applications requiring flexible or semi-structured data like event logging systems, product configurations, dynamic forms.
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Oracle
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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Pros
Oracle
  • Stable - it just runs, with minimal downtime or errors
  • Fast - well-structured data is quickly written and read
  • Secure - MySQL is easy to keep data secure from people and applications that shouldn't see it
  • Easy to use - SQL is industry standard so no problems with adding, editing and reading data stored in MySQL
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Oracle
  • Data mining
  • Data analysis
  • Parallel computing
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Cons
Oracle
  • Learning curve: is big. Newbies will face problems in understanding the platform initially. However, with plenty of online resources, one can easily find solutions to problems and learn on the go.
  • Backup and restore: MySQL is not very seamless. Although the data is never ruptured or missed, the process involved is not very much user-friendly. Maybe, a new command-line interface for only the backup-restore functionality shall be set up again to make this very important step much easier to perform and maintain.
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Oracle
  • 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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Likelihood to Renew
Oracle
For teaching Databases and SQL, I would definitely continue to use MySQL. It provides a good, solid foundation to learn about databases. Also to learn about the SQL language and how it works with the creation, insertion, deletion, updating, and manipulation of data, tables, and databases. This SQL language is a foundation and can be used to learn many other database related concepts.
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Oracle
No answers on this topic
Usability
Oracle
I give MySQL a 9/10 overall because I really like it but I feel like there are a lot of tech people who would hate it if I gave it a 10/10. I've never had any problems with it or reached any of its limitations but I know a few people who have so I can't give it a 10/10 based on those complaints.
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Oracle
No answers on this topic
Support Rating
Oracle
We have never contacted MySQL enterprise support team for any issues related to MySQL. This is because we have been using primarily the MySQL Server community edition and have been using the MySQL support forums for any questions and practical guidance that we needed before and during the technical implementations. Overall, the support community has been very helpful and allowed us to make the most out of the community edition.
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Oracle
No answers on this topic
Implementation Rating
Oracle
1. Estimate your data size. 2. Test, test, and test.
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Oracle
No answers on this topic
Alternatives Considered
Oracle
MongoDB has a dynamic schema for how data is stored in 'documents' whereas MySQL is more structured with tables, columns, and rows. MongoDB was built for high availability whereas MySQL can be a challenge when it comes to replication of the data and making everything redundant in the event of a DR or outage.
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Oracle
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.
Read full review
Return on Investment
Oracle
  • As it is an open source solution through community solution, we can use it in a multitude of projects without cost license
  • The acquisition by Oracle makes you need to contract support for the enterprise version
  • If you have knowledge about oracle databases, you can get more out of the enterprise version
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Oracle
  • 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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