Google Cloud SQL vs. InterSystems IRIS

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Google Cloud SQL
Score 8.9 out of 10
N/A
Google Cloud SQL is a database-as-a-service (DBaaS) with the capability and functionality of MySQL.
$0
per core hour
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 SQLInterSystems IRIS
Editions & Modules
License - Express
$0
per core hour
License - Web
$0.01134
per core hour
Storage - for backups
$.08
per month per GB
HA Storage - for backups
$.08
per month per GB
Storage - HDD storage capacity
$.09
per month per GB
License - Standard
$0.13
per core hour
Storage - SSD storage capacity
$.17
per month per GB
HA Storage - HDD storage capacity
$.18
per month per GB
HA Storage - SSD storage capacity
$.34
per month per GB
License - Enterprise
$0.47
per core hour
Memory
$5.11
per month per GB
HA Memory
$10.22
per month per GB
vCPUs
$30.15
per month per vCPU
HA vCPUs
$60.30
per month per vCPU
No answers on this topic
Offerings
Pricing Offerings
Google Cloud SQLInterSystems IRIS
Free Trial
YesYes
Free/Freemium Version
NoYes
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeOptional
Additional DetailsPricing varies with editions, engine, and settings, including how much storage, memory, and CPU you provision. Cloud SQL offers per-second billing.
More Pricing Information
Community Pulse
Google Cloud SQLInterSystems IRIS
Features
Google Cloud SQLInterSystems IRIS
Database-as-a-Service
Comparison of Database-as-a-Service features of Product A and Product B
Google Cloud SQL
9.3
Ratings
7% above category average
InterSystems IRIS
-
Ratings
Automatic software patching9.60 Ratings00 Ratings
Database scalability9.50 Ratings00 Ratings
Automated backups9.70 Ratings00 Ratings
Database security provisions9.50 Ratings00 Ratings
Monitoring and metrics8.20 Ratings00 Ratings
Automatic host deployment9.00 Ratings00 Ratings
Best Alternatives
Google Cloud SQLInterSystems IRIS
Small Businesses
IBM Cloudant
IBM Cloudant
Score 7.4 out of 10
Google Cloud SQL
Google Cloud SQL
Score 8.9 out of 10
Medium-sized Companies
IBM Cloudant
IBM Cloudant
Score 7.4 out of 10
Google Cloud SQL
Google Cloud SQL
Score 8.9 out of 10
Enterprises
IBM Cloudant
IBM Cloudant
Score 7.4 out of 10
SAP IQ
SAP IQ
Score 10.0 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Google Cloud SQLInterSystems IRIS
Likelihood to Recommend
9.5
(0 ratings)
7.4
(0 ratings)
Likelihood to Renew
9.0
(0 ratings)
8.2
(0 ratings)
Usability
8.0
(0 ratings)
8.2
(0 ratings)
Support Rating
6.4
(0 ratings)
7.4
(0 ratings)
Implementation Rating
-
(0 ratings)
8.2
(0 ratings)
Ease of integration
6.6
(0 ratings)
-
(0 ratings)
User Testimonials
Google Cloud SQLInterSystems IRIS
Likelihood to Recommend
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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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
  • Very easy to use and migrate existing database systems to Google Cloud SQL system
  • Easy to query with real-time query assessment as well as processing metrics to help optimize the queries
  • No need to learn any other querying language (like in Hadoop ecosystem), as SQL works pretty fine
  • Easy-to-use GCP portal to type in queries and see the results on the screen (no need to go on command line )
  • Easy to set up
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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
  • 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.
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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
It fits the current needs and bandwith of out lean organization.
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No answers on this topic
Usability
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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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
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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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
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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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
  • The first one is it's performance is very good and it comes up with different solution.
  • Security can be improved for external resources or the schemas which are selected in it.
  • It can be more fragile so one can use it in the business purposes and this will make it a great product.
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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

Google Cloud SQL Screenshots

Screenshot of migrating to a fully managed database solution - Self-managing a database, such as MySQL, PostgreSQL, or SQL Server, can be inefficient and expensive, with significant effort around patching, hardware maintenance, backups, and tuning. Migrating to a fully managed solution can be done using a Database Migration Service with minimal downtime.Screenshot of data-driven application development - Cloud SQL accelerates application development via integration with the larger ecosystem of Google Cloud services, Google partners, and the open source community.