Adabas vs. Google Cloud Datastore

It's well suited for applications running on z/OS I wouldn't consider it for applications on other operating systems

Incentivized

If you want a serverless NoSQL database, no matter it is for personal use, or for company use, Google Cloud Datastore should be on top of your list, especially if you are using Google Cloud as your primary cloud platform. It integrates with all services in the Google Cloud platform.

Incentivized

• It's efficient
• uses relativly few resources

Incentivized

• Automatically handles shards and replication.
• Schema-less & NoSQL.
• Fully managed.

Incentivized

• Using newer features of z/OS
• pricing

Incentivized

• It is hosted on GCP, which makes it harder if your company have multi-cloud strategy.
• When you want to migrate to other cloud providers, there can be a caveat.

Incentivized

Converting to another DBMS is a huge project.

Incentivized

For the amount of use we're getting from Google Cloud Datastore, switching to any other platform would have more cost with little gain. Not having to manage and maintain Google Cloud Datastore for over 4 years has allowed our teams to work on other things. The price is so low that almost any other option for our needs would be far more expensive in time and money.

Incentivized

Adabas uses resources better than DB2, but it doesn't use newer features of the hardware or operating system.

Incentivized

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.

Incentivized

• Every time we want to upgrade our computer, the pricing for adabas is a big concern

Incentivized

• Simple billing part of Google Cloud Platform
• No time spent configuring and maintaining Google Cloud Datastore.
• Very good uptime for our applications.

Incentivized