Google Cloud Datastore vs. InterSystems IRIS

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Google Cloud Datastore
Score 8.5 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
InterSystems IRIS
Score 7.7 out of 10
N/A
InterSystems IRIS is a complete cloud-first data platform that includes a multi-model transactional data management engine, an application development platform, and interoperability engine, and an open analytics platform. It is is the next generation of InterSystems' data management software. It includes…N/A
Pricing
Google Cloud DatastoreInterSystems IRIS
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Google Cloud DatastoreInterSystems IRIS
Free Trial
NoYes
Free/Freemium Version
NoYes
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeOptional
Additional Details
More Pricing Information
Community Pulse
Google Cloud DatastoreInterSystems IRIS
Features
Google Cloud DatastoreInterSystems IRIS
NoSQL Databases
Comparison of NoSQL Databases features of Product A and Product B
Google Cloud Datastore
10.0
Ratings
12% above category average
InterSystems IRIS
-
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 DatastoreInterSystems IRIS
Small Businesses
IBM Cloudant
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Score 7.4 out of 10
Google Cloud SQL
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Score 8.9 out of 10
Medium-sized Companies
IBM Cloudant
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Score 7.4 out of 10
Google Cloud SQL
Google Cloud SQL
Score 8.9 out of 10
Enterprises
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Score 7.4 out of 10
SAP IQ
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Score 10.0 out of 10
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User Ratings
Google Cloud DatastoreInterSystems IRIS
Likelihood to Recommend
9.9
(0 ratings)
7.4
(0 ratings)
Likelihood to Renew
10.0
(0 ratings)
8.2
(0 ratings)
Usability
-
(0 ratings)
8.2
(0 ratings)
Support Rating
-
(0 ratings)
7.4
(0 ratings)
Implementation Rating
-
(0 ratings)
8.2
(0 ratings)
User Testimonials
Google Cloud DatastoreInterSystems IRIS
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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It is best suited in the scenario where a single interface is required for providing [a complete end-to-end] solution to the customers. You don't need [a] separate platform to write code or [perform] database operations. All you need is InterSystems IRIS software and you are done. You can also use analytics functionality which is one of the greatest [features] which many customers need for their solution[.]
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Pros
  • It is hosted in GCP, our primary cloud provider.
  • It integrates with all the services we use in GCP.
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  • Connecting with mutliple vendor platforms and systems allowing us to consume and provide data as needed.
  • Allowed us to implement our own RESTful api engine to server data to our internal applications.
  • Setting up their recommendations for high availability allow us to perform server maintenance with minimal down time to our users.
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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.
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  • Enhanced documentation, more comprehensive and user-friendly documentation, including detailed tutorials and examples
  • Improving compatibility and integrations with others programming languages
  • Introducing tools and techniques to optimize the performance of ObjectScript applications, such as profiling tools, performance monitoring utilities, and code optimization guidelines
  • A better compatibility with Python libraries
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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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No answers on this topic
Usability
No answers on this topic
The interface is very intuitive, the documentation is very good so it is not complicated to operate.
The security is complex, but you can create a special role to access and the user ONLY can operate with the part that it allows.
Also, you can examine the data very quick with the SQL Browser integrated.
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Support Rating
No answers on this topic
The InterSystems WRC has always been helpful and responsive. The folks I have spoken with are always understanding of our needs and questions and regardless of if the question is simple or complex we are always met with the same professionalism and helpfulness every time. I have no hesitations contacting InterSystems for help!
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Implementation Rating
No answers on this topic
Will done based on a proper planning, so this will makes execution more easier and better.
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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.
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Tibco was not originally planned to be used for HL7 Integrations and as such we had to create some very complicated processes in order for the messages to parse and validate appropriately. It was simply not built for this type of interoperability. Comparatively, InterSystems IRIS for Health (HealthConnect) has out of the box HL7 features that would parse messages, offer a variety of validation options, simplified data lookups and transformation and reduced the amount of time it took to develop connections with out vendor systems. InterSystems IRIS also allows one to push just single files into production at a time so there is less of a chance of us pushing something that should not be in production yet as our previous system was set up to with TIBCO deployments
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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.
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  • Very Fast and scalable software to deal with big data flow, safe and robust.
  • The studio IDE is quite old fashion and lacks a few facilities
  • amazing for complex data consumption, its milyi-model capability wich allows multiple different models for a single set of codes.
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ScreenShots