Google Cloud SQL is a database-as-a-service (DBaaS) with the capability and functionality of MySQL.
$0
per core hour
Microsoft Access
Score 7.8 out of 10
N/A
Microsoft Access is a database management system from Microsoft that combines the relational Microsoft Jet Database Engine with a graphical user interface and software-development tools.
$139.99
per PC
Pricing
Google Cloud SQL
Microsoft Access
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
Microsoft Access
$139.99
per PC
Offerings
Pricing Offerings
Google Cloud SQL
Microsoft Access
Free Trial
Yes
No
Free/Freemium Version
No
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
Pricing varies with editions, engine, and settings, including how much storage, memory, and CPU you provision. Cloud SQL offers per-second billing.
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
MS Access is the little brother to all these products. In no way is it as feature-rich as the competition I have selected. It is, however, great when used properly. It does not have the same level of security, availability, access, or recoverability as anything listed above. …
Microsoft is much more simple and far less powerful. However, that is often times all that is needed for the job. Essbase is better for large organizations that have multi business units that need to pull from the same datasource.
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.
Microsoft Access can be easily implemented with training. It doesn't require expert level skill for basic reporting functions - but can be scaled to a complex database with sophisticated users. Its appropriate to consider if excel needs to be used to create reports, or if there are data entry needs - with corresponding reports.
Microsoft Access has not really changed at all for several years. It might be nice to see some upgrades and changes.
The help info is often not helpful. Need more tutorials for Microsoft Access to show how to do specific things.
Be careful naming objects such as tables, forms, etc. Names that are too long can get cut off in dialog boxes to choose a table, form, report, etc. So, I wish they would have resizable dialog boxes to allow you to see objects with long names.
I wish it could show me objects that are not in use in the database for current queries, tables, reports, forms, and macros. That way unused objects can be deleted without worrying about losing a report or query because you deleted the underlying object.
I and the rest of my team will renew our Microsoft Access in the future because we use and maintain many different applications and databases created using Microsoft Access so we will need to maintain them in the future. Additionally, it is a standard at our place of work so it is at $0 cost to us to use. Another reason for renewing Microsoft Access is that we just don' t have the resources needed to extend into a network of users so we need to remain a single-desktop application at this time.
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.
Microsoft Access is easy to use. It is compatible with spreadsheets. It is a very good data management tool. There is scope to save a large amount of data in one place. For using this database, one does not need much training, can be shared among multiple users. This database has to sort and filtering features which seem to be very useful.
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.
While I have never contacted Microsoft directly for product support, for some reason there's a real prejudice against MS Access among most IT support professionals. They are usually discouraging when it comes to using MS Access. Most of this is due to their lack of understanding of MS Access and how it can improve one's productivity. If Microsoft invested more resources towards enhancing and promoting the use of MS Access then maybe things would be different.
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.
Crystal is easier for report writing, but isn't a database solution. Salesforce is lovely, but much more expensive than an old copy of Microsoft Office. For a small budget, [Microsoft] Access was really the only viable option. I only wish it was easier to write complex reports.
With managed database system, it has given us near 100% data availability
It has also improved web layer experience with faster processing and authentication using database fields
Google Cloud SQL also gels up well with Google Analytics and other analytics systems for us to join up different data points and process them for deeper dives and analysis