MySQL Heatwave vs. Oracle Autonomous Data Warehouse

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
MySQL Heatwave
Score 8.0 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
Oracle Autonomous Data Warehouse
Score 9.0 out of 10
N/A
Oracle Autonomous Data Warehouse is optimized for analytic workloads, including data marts, data warehouses, data lakes, and data lakehouses. With Autonomous Data Warehouse, data scientists, business analysts, and nonexperts can discover business insights using data of any size and type. The solution is built for the cloud and optimized using Oracle Exadata.N/A
Pricing
MySQL HeatwaveOracle Autonomous Data Warehouse
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
MySQL HeatwaveOracle Autonomous Data Warehouse
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
MySQL HeatwaveOracle Autonomous Data Warehouse
Top Pros
Top Cons
Best Alternatives
MySQL HeatwaveOracle Autonomous Data Warehouse
Small Businesses
Google BigQuery
Google BigQuery
Score 8.6 out of 10
Google BigQuery
Google BigQuery
Score 8.6 out of 10
Medium-sized Companies
Snowflake
Snowflake
Score 9.0 out of 10
Cloudera Enterprise Data Hub
Cloudera Enterprise Data Hub
Score 9.0 out of 10
Enterprises
Snowflake
Snowflake
Score 9.0 out of 10
Oracle Exadata
Oracle Exadata
Score 8.2 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
MySQL HeatwaveOracle Autonomous Data Warehouse
Likelihood to Recommend
10.0
(2 ratings)
8.9
(32 ratings)
Likelihood to Renew
-
(0 ratings)
8.0
(1 ratings)
Implementation Rating
-
(0 ratings)
9.0
(1 ratings)
User Testimonials
MySQL HeatwaveOracle Autonomous Data Warehouse
Likelihood to Recommend
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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Oracle
II would recommend Oracle Autonomous Data Warehouse to someone looking to fully automate the transferring of data especially in a warehouse scenario though I can see the elasticity of the suite that is offered and can see it is applicable in other scenarios not just warehouses.
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Pros
Oracle
  • Data mining
  • Data analysis
  • Parallel computing
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Oracle
  • Very easy and fast to load data into the Oracle Autonomous Data Warehouse
  • Exceptionally fast retrieval of data joining 100 million row table with a billion row table plus the size of the database was reduced by a factor of 10 due to how Oracle store[s] and organise[s] data and indexes.
  • Flexibility with scaling up and down CPU on the fly when needed, and just stop it when not needed so you don't get charged when it is not running.
  • It is always patched and always available and you can add storage dynamically as you need it.
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Cons
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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Oracle
  • It is very expensive product. But not to mention, there's good reasons why it is expensive.
  • The product should support more cloud based services. When we made the decision to buy the product (which was 20 years ago,) there was no such thing to consider, but moving to a cloud based data warehouse may promise more scalability, agility, and cost reduction. The new version of Data Warehouse came out on the way, but it looks a bit behind compared to other competitors.
  • Our healthcare data consists of 30% coded data (such as ICD 10 / SNOMED C,T) but the rests is narrative (such as clinical notes.). Oracle is the best for warehousing standardized data, but not a good choice when considering unstructured data, or a mix of the two.
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Likelihood to Renew
Oracle
No answers on this topic
Oracle
Because
  • It is really simple to provision and configure.
  • Does not require continous attention from the DBA, autonomous features allows the database to perform most of the regular admin tasks without need for human intervention.
  • Allows to integrate multiple data sources on a central data warehouse, and explode the information stored with different analytic and reporting tools.
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Implementation Rating
Oracle
No answers on this topic
Oracle
Understanding Oracle Cloud Infrastructure is really simple, and Autonomous databases are even more. Using shared or dedicated infrastructure is one of the few things you need to consider at the moment of starting provisioning your Oracle Autonomous Data Warehouse.
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Alternatives Considered
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.
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Oracle
As I mentioned, I have also worked with Amazon Redshift, but it is not as versatile as Oracle Autonomous Data Warehouse and does not provide a large variety of products. Oracle Autonomous Data Warehouse is also more reliable than Amazon Redshift, hence why I have chosen it
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Return on Investment
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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Oracle
  • Overall the business objective of all of our clients have been met positively with Oracle Data Warehouse. All of the required analysis the users were able to successfully carry out using the warehouse data.
  • Using a 3-tier architecture with the Oracle Data Warehouse at the back end the mid-tier has been integrated well. This is big plus in providing the necessary tools for end users of the data warehouse to carry out their analysis.
  • All of the various BI products (OBIEE, Cognos, etc.) are able to use and exploit the various analytic built-in functionalities of the Oracle Data Warehouse.
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