Google Cloud SQL vs. MariaDB Platform

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.

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• Applications where the users need [to] execute many short queries.
• With new storage engines such as Aria, which allows to replace MyISAM with some improvements, and XtraDB, which evolves InnoDB.
• To fuse the legacy features with the features available in NoSQL databases.
• Connection management, which allows multiplying the number of concurrent accesses.
• New clustering engines, such as Galera, which allow interesting possibilities for Cloud adoption.

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• It has a easily and user understandable interface which provides it every necessary feature to come up with.
• It's backend is very strong that can help us to run big quieres without any hesitation.
• It's integration with other tools are one of the powerful feature which makes it more suitable to use.

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• Simpler learning curve. MariaDB is a cleaner, simpler system that is (IMO) easier to learn and easier to manage effectively than many other database systems.
• Lower hardware requirements. After migrating to MariaDB from another database software system, we find that our hardware needs have substantially decreased.
• MariaDB support is very responsive. It's like they actually care. On the few occasions we've run into technical issues, support has always come through with what we needed. Once it was showing me a relatively new feature the server supported that I wasn't aware of, that, once I was able to properly make use of it helped me resolve a serious production performance issue.
• Architectural flexibility. As an example, the ready availability of synchronous (Galera) versus asynchronous replication schemes without being locked into one of the other by enormous technical complexity or punitive licensing, allows the customer to find what really works best for their needs.

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• 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.

• Driver Support - Some third party applications use database drivers that cause unexplained slowness with MariaDB. This can be worked around by using the MySQL drivers, but it's not clear what causes the problem in the first place.
• Support - While online communities are helpful in diagnosing problems, there isn't as much professional documentation/support available for MariaDB as some of the other major database options.
• Data Visualization - It would be helpful if there were more built in options for analyzing statistics and generating reports.

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

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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.

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MariaDB is very usable and stable to be used in production settings as an alternative to MySQL. The shortcomings of SQL are present but well understood in the community, and if the decision were to be made again, I would choose MariaDB over MySQL on future projects.

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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.

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We have launched several inquiries to MariaDB support and they have always responded very quickly and have not been tutoring for the duration of the incident/problem.

Likewise, they want to hold constant meetings with the client to get their opinion as well as how they can help.

I see a very human support and concerned about the customer.

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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.

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MariaDB stacks up the the competition just fine. Due to is ture open source nature we do not have to worry about licencing and spending money on nothing. Moreover, MariaDB does everything that we need to get done. We can run data that is a million rows or many smaller projects on the same environment with little overhead. One of the best features that MariaDB has is the ability of backup or dump data to standard text sql statements. That was one of the reasons why we choose MariaDb because it makes backups or transferring data a snap

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• Improved integration with Google Cloud, we have set up some automations with Google Workspace, and we have noticed that the raw data sharing between them is very fast as compared to using some other managed database, not sure why.
• Due to some downtime during maintenance, we had to set up a relatively small service which ingested the data while this went down and dumped it when it came back up. So this was a negative impact on our ROI, since now we had to remedy this downtime against the same profit margins
• It was cheaper than the legacy aws service since we needed large database instances

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• Low CAPEX if you have a team that use open source software day by day
• Medium OPEX if you have a team that use open source software day by day
• Perfect to use in academic ambient to support researchers and students

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