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Google Cloud Datastore vs. IBM IMS

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Google Cloud Datastore
Score 8.6 out of 10
N/A
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.N/A
IBM IMS
Score 9.9 out of 10
N/A
IBM IMS, for Information Management System, is a database and transaction server.N/A
Pricing
Google Cloud DatastoreIBM IMS
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Google Cloud DatastoreIBM IMS
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details——
More Pricing Information
Community Pulse
Google Cloud DatastoreIBM IMS
Features
Google Cloud DatastoreIBM IMS
NoSQL Databases
Comparison of NoSQL Databases features of Product A and Product B
Google Cloud Datastore
10.0
Ratings
12% above category average
IBM IMS
-
Ratings
Performance10.00 Ratings00 Ratings
Availability10.00 Ratings00 Ratings
Concurrency10.00 Ratings00 Ratings
Security10.00 Ratings00 Ratings
Scalability10.00 Ratings00 Ratings
Data model flexibility10.00 Ratings00 Ratings
Deployment model flexibility9.90 Ratings00 Ratings
Best Alternatives
Google Cloud DatastoreIBM IMS
Small Businesses
IBM Cloudant
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Score 7.4 out of 10
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Score 7.4 out of 10
Medium-sized Companies
IBM Cloudant
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Score 7.4 out of 10
IBM Cloudant
IBM Cloudant
Score 7.4 out of 10
Enterprises
IBM Cloudant
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Score 7.4 out of 10
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Score 7.4 out of 10
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User Ratings
Google Cloud DatastoreIBM IMS
Likelihood to Recommend
9.9
(0 ratings)
7.0
(0 ratings)
Likelihood to Renew
10.0
(0 ratings)
-
(0 ratings)
User Testimonials
Google Cloud DatastoreIBM IMS
Likelihood to Recommend
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.
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We have built a database of a network of bank branches with all the needs of security and recovery/restart. It requires knowledge of obsolete maintenance languages and perhaps it is too rigid in the schemes.
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Anonymous
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Pros
  • It is hosted in GCP, our primary cloud provider.
  • It integrates with all the services we use in GCP.
Verified User
Anonymous
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  • Security
  • Reliability
  • Big volume of data and good performance
Verified User
Anonymous
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Cons
  • Part of the Google Cloud Platform walled garden.
  • Pay for read/writes to the datastore, in addition to storage.
  • Not many libraries exist.
Verified User
Anonymous
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  • Certainly, not being a DB relational penalizes its use
  • It should be more flexible
  • Open up to more recent languages
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Likelihood to Renew
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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Anonymous
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Alternatives Considered
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.
Verified User
Anonymous
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Essentially, for a question of reliability and scalability, the performance has always been of an enterprise level. The utilities are efficient and effective.
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Anonymous
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Return on Investment
  • Simple billing part of Google Cloud Platform
  • No time spent configuring and maintaining Google Cloud Datastore.
  • Very good uptime for our applications.
Verified User
Anonymous
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  • The investment made about 20 years ago that has been fully repaid
  • Reliability and security of investments
  • Unfortunately, it is quite outdated and therefore maintenance costs are higher because the skills are not always available.
Verified User
Anonymous
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