Google Cloud Datastore vs. Google Cloud Operations Suite

I feel like Google Cloud Datastore is well suited when the data models are simple and the possible filtering and sorting operation are not complex. With more complex filtering, the amount of required indexes increase, and so does the costs.

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Easy to set up in all environments. With this tool, the company is now able to measure both well-functioning data and data that needs immediate intervention. This early detection facilitates decisions about actions to correct the disorder and improve indexes. Stackdriver is now essential for the company's security and monitoring team and we plan to expand to other branches.

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• It is hosted in GCP, our primary cloud provider.
• It integrates with all the services we use in GCP.

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• All the application error reporting available at a single place.
• You will get the real-time application error and alerts.
• It's really easy to use and no need to worry for the setup.

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• Part of the Google Cloud Platform walled garden.
• Pay for read/writes to the datastore, in addition to storage.
• Not many libraries exist.

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• For searching and filtering the logs the system is slow sometimes.
• An agent needs to be installed in each VM to monitor specific metrics.
• The pricing model is confusing.

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I give Google Cloud a full score because it satisfies our needs so well. We host most of our infrastructure on Google Cloud and using Google Cloud Datastore helps us to solve our NoSQL storage problem. and Google Cloud Datastore is so scalable and elastic. It saves us lots of time to maintain and saves us money.

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The simple implementation, together with the Google Cloud dashboard that allows data inspection, editing and querying, makes Google Cloud Datastore a comprehensive choice when it comes to NoSQL databases.

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It is also a great problem detection tool, and this is extremely important for General Motors.

The user can count on the ease of flexible panels and advanced visualization tools that help to identify problems. Among the most common, we can mention:

- containment of hosts;

- cloud provider limitation;

- hardware wear.

And also Stackdriver Integration with other Google Cloud data tools such as BigQuery, Cloud Pub/Sub, Cloud Storage and Cloud Database.

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If deploying an application in Google Cloud Platform, using Google Cloud Datastore is a no brainer because of the simplicity of setup. Other options would require more setup and configuration, and do not come with the same level of guaranteed uptime as Google Cloud Datastore. In our case, we've been using Google Cloud Datastore for 4 years without any issues and have never had to think about it.

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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

Incentivized

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

• It solves our NoSQL database problem.
• It it highly scalable and available to meets our needs.

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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

• We completely depends on Stackdriver for error monitoring and reporting.
• Stackdriver is very simple to use and available at default.
• Stackdriver is the key part for our business to get the insight of our application behavior.

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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