Google Cloud SQL vs. IBM Vault

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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HashiCorp Vault, in my opinion, is a defacto standard for any cloud or automation implementation. They're the best of the best as far as products for secrets management and the ability to use it against relatively any service you have is unheard of for other products. HashiCorp has really taken out all the stops when it comes to creating a nice, extensible tool that people can use to suit their needs.

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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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• The HTTP API you use to write and read secrets is open and can be used by any application.
• It keeps our sensitive data/credentials out of our GitLab repositories.
• Sealing and unsealing the Vault on demand adds an additional layer of security.

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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.

• Session Management is terrible to manage
• Monitoring is hard and not enough information
• User management
• Configuration is too complex
• More user friendly UI

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

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HashiCorp Vault is the best there is out there, and it has become critical to our secret management use cases. It would be difficult to find anything that would suit our needs better and that would be beneficial for us to switch over to.

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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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We spent a little more time than we imagined to conceptually understand how HashiCorp Vault operates, as well as how it is configured. This is not trivial, and keep in mind that you will need to take some time to get a thorough understanding of the tool. The documentation could be more helpful in this regard.

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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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Hashicorp has been very responsive to our questions and inquiries up to this point. We are currently working on them to develop a more granular permissions model within Vault. We are very close to achieving our objectives with the help of their support team. We do not seem to be in the same time zone which makes it hard for escalated issues.

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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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HashiCorp Vault is way better than Azure Key Vault; it has more features and it goes beyond a key-value secret store.

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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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• Helped us reach our security compliance goals.
• Helped us strengthen our security position in our infrastructure by improving on poor secret management practices.

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Independently Invited by TrustRadius

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info