1010data vs. MySQL Heatwave

The software is excellent for any application which is too large for Excel. The visual interface surpasses that of most SQL platforms. It is quite useful for data mining in an exploratory way but less useful in statistical and regression analysis.

Incentivized

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.

Incentivized

• To "pool" their data for market analysis
• Very large data analysis
• Performance and scalability

Incentivized

• Data mining
• Data analysis
• Parallel computing

Incentivized

• The ten.do interface could use more detailed documentation

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

That's votes by our team.

Incentivized

While we have used SQL, 1010data is really the only industry standard product available for our use.

Incentivized

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.

Incentivized

• Positive impact on help business make a data-drive decision
• Positive impact on big data analysis
• Negative impact on user friendly

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