Exasol vs. Google Cloud SQL

Exasol is well suited for data warehousing, BI, ML, AI - all analytical queries. It has almost no operation cost, because it is selfmaintening the indexes etc.

It is really fast and stable too.

Does what it promises well, for instance, as a sidecar for the main enterprise data warehouse. However, I would not recommend using it as the main data warehouse, particularly due to the heavy business logic, as other dedicated tools are more suitable for ensuring scalable operations in terms of change management and multi-developer adjustments.

Incentivized

• We have found Exasol to be very fast at summarizing large data sets. It has been a great backend for both reporting tools and data analytics/business intelligence. Combined with the fact that data import is also very fast it makes it ideal for a real-time ELT architecture.
• Exasol is low maintenance. No indexes to maintain (The database auto-manages them) and very little tuning is required.
• Query processing is optimized for high throughput and high parallelization. This means that even under high loads performance degrades gracefully as opposed to having "pile-ups" and "meltdowns". This has made it a very reliable database for us.

• Very easy to use and migrate existing database systems to Google Cloud SQL system
• Easy to query with real-time query assessment as well as processing metrics to help optimize the queries
• No need to learn any other querying language (like in Hadoop ecosystem), as SQL works pretty fine
• Easy-to-use GCP portal to type in queries and see the results on the screen (no need to go on command line )
• Easy to set up

Incentivized

• Better backup possibilities
• Better management tool like the exaplus

• Increasing support for more database engines may enable a wider range of application needs to be met.
• Implementing and updating cutting-edge security features on a constant basis.
• Streamlining and enhancing the tools for transferring data to Google Cloud SQL from on-premises databases or other cloud providers.

It fits the current needs and bandwith of out lean organization.

Incentivized

Lots of performance benfits which has had a huge impact on the analytics team and the businesses ability to deliver real value from data.

As with other cloud tools, users must learn a new terminology to navigate the various tools and configurations, and understand Google Cloud's configuration structure to perform even the most basic operations. So the learning curve is quite steep, but after a few months, it gets easier to maintain.

Incentivized

I have had only positive experiences with their support. They are fast, knowledgeable, and courteous. Online support requests get picked up within hours. I've only once had to use their hotline and that was for an emergency. There was even one minor non-security bug report that I reported and which they fixed in the following week's minor release. I was quite impressed.

GCP support in general requires a support agreement. For small organizations like us, this is not affordable or reasonable. It would help if Google had a support mechanism for smaller organizations. It was a steep learning curve for us because this was our first entry into the cloud database world. Better documentation also would have helped.

Incentivized

We looked at some others too, but was 5 yrs ago so I don't recall the list. Exasol had the best performance per cost, outstanding performance, and was easy to evaluate. Even their community addition running on my laptop was faster than our existing reporting solution.

Unlike other products, Google Cloud SQL has very flexible features that allow it to be selected for a free trial account so that the product can be analyzed and tested before purchasing it. Integration capabilities with most of the web services tools are easier regarding Google Cloud SQL with its nature and support.

Incentivized

• Reduced support needs
• Monetisation
• Huge performance benfits

• The first one is it's performance is very good and it comes up with different solution.
• Security can be improved for external resources or the schemas which are selected in it.
• It can be more fragile so one can use it in the business purposes and this will make it a great product.

Incentivized