Google Cloud Datastore is a NoSQL "schemaless" database as a service, supporting diverse data types. The database is managed; Google manages sharding and replication and prices according to storage and activity.
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InterSystems Caché (legacy product)
Score 10.0 out of 10
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InterSystems Caché® was a multi-modal operational database for transaction processing applications, that provided several APIs to operate with same data simultaneously: key-value, relational, object, document, and multidimensional.
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Pricing
Google Cloud Datastore
InterSystems Caché (legacy product)
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Google Cloud Datastore
InterSystems Caché (legacy product)
Free Trial
No
Yes
Free/Freemium Version
No
Yes
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
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More Pricing Information
Community Pulse
Google Cloud Datastore
InterSystems Caché (legacy product)
Considered Both Products
Google Cloud Datastore
Verified User
Anonymous
Chose Google Cloud Datastore
We selected Google Cloud Datastore as one of our candidates for our NoSQL data is because it is provided by Google Cloud, which fits our needs. Most of our infrastructure is on Google Cloud, so when we think about the NoSQL database, the first thing we thought about is Google …
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. …
I've only worked with products that do one thing before, but there's so much that Cache offers versus piecing different services together manually. Not only does the product offer a more robust tool-set, but the support is wonderful and I've never encountered a better vendor in …
Using Google Cloud Datastore in conjunction with Google AppEngine was a very seamless integration and much easier than using other datastores since so much of the configuration is abstracted for you. Because of this, creating simple applications is very easy and getting Google Cloud Datastore to power the backend ties everything together. If we were using Google Compute Engine, I'd imagine the same seamless experience would be there as well.
Great for a one for all, heavy bundled, and licensed solution. When trying to evolve and scale, it can be very limiting. Think future proof as something that fits now could be hard to change later and work around.
The great functionality hides behind an old UI that can be cumbersome to navigate, making Cache configurations take more time.
The easy installs of Cache need specific setups to work well, and if yours is unique or if your servers are highly specialized on a networking level in terms of ports, VMs, or otherwise, then there may be some difficulties getting things to work.
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.
We selected Google Cloud Datastore as one of our candidates for our NoSQL data is because it is provided by Google Cloud, which fits our needs. Most of our infrastructure is on Google Cloud, so when we think about the NoSQL database, the first thing we thought about is Google Cloud Datastore. And it proves itself.
I've only worked with products that do one thing before, but there's so much that Cache offers versus piecing different services together manually. Not only does the product offer a more robust tool-set, but the support is wonderful and I've never encountered a better vendor in any industry in terms of how well they interact with their customers and care about helping you solve your problems. They want you to grow and to get better.