Databricks Data Intelligence Platform vs. MySQL Heatwave

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Databricks Data Intelligence Platform
Score 8.5 out of 10
N/A
Databricks in San Francisco offers the Databricks Lakehouse Platform (formerly the Unified Analytics Platform), a data science platform and Apache Spark cluster manager. The Databricks Unified Data Service aims to provide a reliable and scalable platform for data pipelines, data lakes, and data platforms. Users can manage full data journey, to ingest, process, store, and expose data throughout an organization. Its Data Science Workspace is a collaborative environment for practitioners to run…
$0.07
Per DBU
MySQL Heatwave
Score 6.4 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
Databricks Data Intelligence PlatformMySQL Heatwave
Editions & Modules
Standard
$0.07
Per DBU
Premium
$0.10
Per DBU
Enterprise
$0.13
Per DBU
No answers on this topic
Offerings
Pricing Offerings
Databricks Data Intelligence PlatformMySQL 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
Databricks Data Intelligence PlatformMySQL Heatwave
Best Alternatives
Databricks Data Intelligence PlatformMySQL Heatwave
Small Businesses

No answers on this topic

Google BigQuery
Google BigQuery
Score 8.5 out of 10
Medium-sized Companies
Snowflake
Snowflake
Score 8.9 out of 10
Snowflake
Snowflake
Score 8.9 out of 10
Enterprises
Snowflake
Snowflake
Score 8.9 out of 10
Snowflake
Snowflake
Score 8.9 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Databricks Data Intelligence PlatformMySQL Heatwave
Likelihood to Recommend
10.0
(0 ratings)
10.0
(0 ratings)
Usability
10.0
(0 ratings)
-
(0 ratings)
Support Rating
8.7
(0 ratings)
-
(0 ratings)
User Testimonials
Databricks Data Intelligence PlatformMySQL Heatwave
Likelihood to Recommend
If you need a managed big data megastore, which has native integration with highly optimized Apache Spark Engine and native integration with MLflow, go for Databricks Lakehouse Platform. The Databricks Lakehouse Platform is a breeze to use and analytics capabilities are supported out of the box. You will find it a bit difficult to manage code in notebooks but you will get used to it soon.
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MySQL Heatwave is suitable for data mining and data analysis for platforms like OLAP. This is very cost effective tool in comparison with peer softwares. Oracle provides multiple pricing options for use of to this software. Which makes the choice of many needee crowd for large number of applications for data handling. It provides the access to database al also.
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Pros
  • There is databricks community, which is a free version. It is available for beginners to have an easy start with a big data platform. It does not have every feature of the full version but is still adequate for extremely new coders.
  • There are many resourceful training elements that are available to developers, data scientists, data engineers and other IT professionals to learn Apache Spark.
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  • Data mining
  • Data analysis
  • Parallel computing
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Cons
  • Connect my local code in Visual code to my Databricks Lakehouse Platform cluster so I can run the code on the cluster. The old databricks-connect approach has many bugs and is hard to set up. The new Databricks Lakehouse Platform extension on Visual Code, doesn't allow the developers to debug their code line by line (only we can run the code).
  • Maybe have a specific Databricks Lakehouse Platform IDE that can be used by Databricks Lakehouse Platform users to develop locally.
  • Visualization in MLFLOW experiment can be enhanced
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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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Usability
Because it is an amazing platform for designing experiments and delivering a deep dive analysis that requires execution of highly complex queries, as well as it allows to share the information and insights across the company with their shared workspaces, while keeping it secured.

in terms of graph generation and interaction it could improve their UI and UX
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No answers on this topic
Support Rating
One of the best customer and technology support that I have ever experienced in my career. You pay for what you get and you get the Rolls Royce. It reminds me of the customer support of SAS in the 2000s when the tools were reaching some limits and their engineer wanted to know more about what we were doing, long before "data science" was even a name. Databricks truly embraces the partnership with their customer and help them on any given challenge.
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Alternatives Considered
Databricks is a true all-in-one platform, and at the time of implementation, it had more features available to us, making it a clear choice over Snowflake. Moving our workloads from local computing to the servers in Databricks gave our start-up staff a great quality of life boost.
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There is no other product in the market like MySQL Heatwave. The other competitive offerings are Databricks Lakehouse and Cloudera which essentially are Data Analytics Platforms and Data Warehousing Solutions. They do have SQL interfaces through Delta Lake and Hive but they run complicated Spark Jobs which are time consuming and much slower than MySQL Heatwave.
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Return on Investment
  • ROI for us has been tremendous. Time to market by processing raw data in our big data infrastructure has been pretty fast.
  • Non engineers can easily use Databricks, hence helping business customers.
  • Thousands of different data combinations can easily be joined and used by our data teams.
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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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ScreenShots