Google Cloud SQL is a database-as-a-service (DBaaS) with the capability and functionality of MySQL.
$0
per core hour
SAP Adaptive Server Enterprise (ASE)
Score 8.0 out of 10
N/A
SAP Adaptive Server Enterprise (ASE) is a transactional relational database, boasting fast, reliable online transaction processing (OLTP). SAP ASE is the company's transactional database within the SAP Business Technology Platform portfolio.
N/A
Pricing
Google Cloud SQL
SAP Adaptive Server Enterprise (ASE)
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 SQL
SAP Adaptive Server Enterprise (ASE)
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.
—
More Pricing Information
Community Pulse
Google Cloud SQL
SAP Adaptive Server Enterprise (ASE)
Features
Google Cloud SQL
SAP Adaptive Server Enterprise (ASE)
Database-as-a-Service
Comparison of Database-as-a-Service features of Product A and Product B
Google Cloud SQL
8.9
35 Ratings
5% above category average
SAP Adaptive Server Enterprise (ASE)
-
Ratings
Automatic software patching
9.612 Ratings
00 Ratings
Database scalability
8.635 Ratings
00 Ratings
Automated backups
8.835 Ratings
00 Ratings
Database security provisions
8.535 Ratings
00 Ratings
Monitoring and metrics
8.934 Ratings
00 Ratings
Automatic host deployment
9.012 Ratings
00 Ratings
Relational Databases
Comparison of Relational Databases features of Product A and Product B
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.
We use this for an inbuilt security management system, where it performs well in a scaled setup with a large volume of live data with high availability. Also, the performance is up to the mark for the large statement flow. From a DBA perspective, a lot of parameters need to be fine-tuned for the specific environment needs, which can cause overhead. Expertise is limited, and the learning curve is steep for the SAP ASE.
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.
Well-suited in the security domain, high performance, and low latency of the DBMS. In terms of the DBA perspective, a dedicated monitoring tool (Cockpit) helps a lot in terms of managing the database, which helps in identifying bottlenecks during performance issues. Also, it helps us to send custom alerts related to Database activities.
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.
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.
Improved integration with Google Cloud, we have set up some automations with Google Workspace, and we have noticed that the raw data sharing between them is very fast as compared to using some other managed database, not sure why.
Due to some downtime during maintenance, we had to set up a relatively small service which ingested the data while this went down and dumped it when it came back up. So this was a negative impact on our ROI, since now we had to remedy this downtime against the same profit margins
It was cheaper than the legacy aws service since we needed large database instances