Google Cloud SQL vs. InterSystems IRIS

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Google Cloud SQL
Score 8.8 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
Considered Both Products
Google Cloud SQL
Chose Google Cloud SQL
Google Cloud SQL ended up being less expensive, have a greater support team and offer a much better interface
Chose Google Cloud SQL
I 100% prefer Google Cloud SQL over Amazon Aurora in terms of ease of use and clarity in terms of understanding how the autoscaling is going to work. Connecting to the database directly is also much more straightforward.
Chose Google Cloud SQL
Setting up or migrating Google Cloud SQL is easy as compared to AWS. It has a good monitoring and logging mechanism and a good user interface which makes it easy to navigate.It also has a pay as you go pricing which makes it easier to reduce cost. Google Cloud SQL offers …
Chose Google Cloud SQL
Actually Google Cloud SQL is similar to them, the difference is which engine each supports e.g. there's no managed Oracle DB in Google Cloud SQL but as long as you don't need Oracle, Google Cloud SQL should suffice and give you great user experience and performance. You also …
Chose Google Cloud SQL
Google SQL was great as a first SQL provision. It quickly enabled the apps to be built and scaled as needed for a while. It was robust and adaptable as needed and easy to export as needed when ready, depending on growth. Cost-wise, it's a good choice and requires little …
Chose Google Cloud SQL
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 …
Chose Google Cloud SQL
When comparing cost, Google Cloud SQL typically offers a more straightforward and versatile plan than Azure SQL Database. Cloud SQL for PostgreSQL is a serverless solution provided by Google Cloud SQL that automatically modifies resources according to workload. For customers …
Chose Google Cloud SQL
- AWS RDS and Aurora is a just a notch above Google Cloud SQL as it provide boost in performance when required
- Google Cloud SQL Mysql Engine is Cloud based and better than native Mysql as it provides management of the server out of box
- Compared to a MongoDB it has a low …
Chose Google Cloud SQL
At first, we choose Google Cloud SQL only for demo purposes. It is so easy to set up and It is fully managed. we have worked with Azure SQL as well but Google SQL is more simple to use and It fully secure, reliable, provides high availability, and very Low Latency.
Chose Google Cloud SQL
Easier learning, simple features and settings with a very user-friendly application environment and flexible prices make Google Cloud [SQL] a pioneering option over competitors
Chose Google Cloud SQL
Google Cloud SQL is just as good as the other guys. We were already invested in GCP, which made the choice very easy. We did not want to start fresh in AWS or Azure. We used our existing GCP setup and just added Cloud SQL. It's unfortunate that companies continue to send people …
Chose Google Cloud SQL
There are many options for cloud-hosted dedicated SQL instances. In many ways, simply moving from software and server-based database to a dedicated cloud database is just generally good. All hosts provide some sort of scaling and backup, and all separate the server management …
Chose Google Cloud SQL
We use the MySQL managed database that Cloud SQL offers, and it has all of the functionality of on-prem MySQL, plus it is managed.
Chose Google Cloud SQL
Google Cloud SQL is very similar to other cloud provider options. AWS and DigitalOcean are direct competitors, While Azure is focusing on their own products. At cloud provider level, it's a matter of choosing the provider, and this product will not play a significant role on …
Chose Google Cloud SQL
The Google Cloud SQL offering fits into our development stack and was a clean replacement for our MySQL database. If we had been using SQL Server instead, then the offering from Azure would have made more sense. I have used both in the past and both work well, with GCP being …
Chose Google Cloud SQL
It's dramatically faster than running MySQL on a VM, which is what we did before. Whatever Google has done to optimize Google Cloud SQL compared to standalone MySQL installations has worked.
Chose Google Cloud SQL
DigitalOcean managed database is relatively less costly compared to Google Cloud SQL database.

Google Cloud SQL service is well integrated with other Google Cloud Platform services such as IAM which enables fine grain access to team members.
Chose Google Cloud SQL
Simple to implement as SaaS.
Chose Google Cloud SQL
I've used supabase and can say that Google Cloud SQL is a lot more hands off. They just run an instance for you and don't do much more than that. Which is exactly what we wanted. If you want something that is truly fully managed and abstracted then I guess that would be a …
Chose Google Cloud SQL
Kind of similar features provided against RDS. Used this because of transactional db
Chose Google Cloud SQL
Google's solution for database is, at least for our team, easier to implement and maintain than Amazon's offer.
InterSystems IRIS
Chose InterSystems IRIS
Better integration of Intersystems solution
Better performances
Better support ofr developers
Chose InterSystems IRIS
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 …
Chose InterSystems IRIS
My organizations use InterSystems IRIS and i think is a good bet.
Chose InterSystems IRIS
The database, integration engine, and load balancer are all in one place. This is advantageous because 1) there are no hidden costs and it is also far easier to set up the network configuration. 2) The sales engineers are very willing to help in any situation and they are also …
Chose InterSystems IRIS
This have best database management and security provider future

Time saving for complex database management
Chose InterSystems IRIS
InterSystems IRIS includes a wide array and assortment of otherwise stand-alone solutions. Having a single platform to support database interoperability, storage, and analytics, let alone Security and SQL tools is a great advantage over solutions that tackle a single aspect of …
Chose InterSystems IRIS
The best software on the market, the capacity for analysis, storage and security in the handling and storage of data, provides you with the certainty of increasing efficiency in all organizational processes, ensuring that you will have your information available at all times, …
Chose InterSystems IRIS
We are using InterSystems IRIS [especially] for database operations as the query performance is really good for [a large] amount of customer data. You can easily integrate for any application like web, desktop, and many more. It also provides BI functionality which is also very …
Chose InterSystems IRIS
Because [it's] a very powerful and efficient tool that has the ability to manage your data in a quick and reliable manner. It's easy to use especially if you work in the area of managing a large number of databases or simply need an extra hand. Inter Systems IRIS can provide …
Chose InterSystems IRIS
The process of migration and scaling due to heavy lifting is also easier, the speed of performance of IRIS is good and fast were able to get a high increase in query performance after our switch and [immense] amount of features integrated with the solution, from the web …
Chose InterSystems IRIS
InterSystems IRIS is more efficient than other applications therefore, it is preferred over the others. Moreover, it is more cost-effective than other applications like Microsoft SQL Server, therefore, many organizations such as small businesses can afford it. Lastly, …
Chose InterSystems IRIS
You definitely need to use it for a fast, solution-oriented experience.
Chose InterSystems IRIS
InterSystems IRIS has the flexibility and power to be more than just a databse engine. We are able to create our business processes and interface with out javascript front end. SQL Server has been useful through the Entity framework connecting both together has been the …
Chose InterSystems IRIS
New docker system is really good, performance improves at the cost of some breaking changes.
Chose InterSystems IRIS
I have always studied other databases, I cannot say if it is a problem for Brazilian colleges, however, after meeting IRIS / Caché, my concept of databases has changed. A much more robust and faster bank.
Now that I have had the opportunity to work with this database, there is …
Chose InterSystems IRIS
The only comparison I can make is that they are all database tools. I strongly believe that just the fact that IRIS is not so widespread and easy to find in research forums is the reason why it is not so "famous". The tool meets and meets all needs for any situation.
Chose InterSystems IRIS
InterSystems IRIS is the union of the best parts of Caché and Ensemble, with a lot of new implementations and some enhancements. IRIS have the same multidimensional database estruture as like Caché and works as an Integration tool like Ensemble.
Chose InterSystems IRIS
We did not consider alternatives; implemented InterSystems IRIS based on a corporate reference.
Chose InterSystems IRIS
Did not consider alternatives; we opted for the free trial and then decided to move ahead with a long-term plan with InterSystems IRIS.
Chose InterSystems IRIS
Did not try other alternatives
Chose InterSystems IRIS
They shared a set of limits:
- speed
- exhaustive memory consumption
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 8.8 out of 10
Medium-sized Companies
IBM Cloudant
IBM Cloudant
Score 7.4 out of 10
Google Cloud SQL
Google Cloud SQL
Score 8.8 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
6.5
(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.
Read full review
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.