ClickHouse vs. MySQL Heatwave

ClickHouse delivers exceptional speed and performance, positioning it as the top choice for managing large-scale analytical workloads. With a bunch of built-in functions, it empowers analysts to extract maximum insights from data effortlessly. If your scenario is to deal with analytical questions, then ClickHouse is for you, but if you are looking into a transactional database, that's not the case; even their table engines are not made for this.

Incentivized

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.

Incentivized

• Their MergeTree table engine provide impressive performance for data insert in bulk
• Not only data insert but also the way MergeTree engine uses Primary Keys to sort the data and perform data skipping based on the granules its also their secret for ridiculous fast queries
• Data compression its also great
• They provide especial table engines that allow you to read data directly from other sources like S3
• Since its written with C++ you have very granular data types and especial ones like enum, LowCardinality and etc, they save you a lot of storage since are stored as integer values
• ClickHouse functions besides the ones that respect ANSI Standards are also awesome and useful

Incentivized

• Data mining
• Data analysis
• Parallel computing

Incentivized

• Avro data manipulation
• Kafka consistency
• DDL operations errors (by replica configuration)

Incentivized

• 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

Incentivized

ClickHouse was not compared to them as a competitor but as the ideal partner to complete an information analysis system, providing users with the most complete and efficient tools. Therefore, in this case it was considered that it would be the ideal candidate due to its characteristics compared to the other competitors.

Incentivized

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.

Incentivized

• Queries that used to take more than 2 minutes now take less than 1 second
• Possibility to analyze use cases in real time (before was impossible)
• The applications are more complete and the users decisions are better

Incentivized

• 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

Incentivized