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Solutions Architect at a tech services company with 201-500 employees
Reseller
Quick and easy to deploy with good stability
Pros and Cons
  • "It can be mounted on the cloud, which is a huge plus. If the client, for example, starts small with on-premise deployment and then it rapidly needs to grow, we can transfer this to the cloud easily."
  • "There should be more material available for training and training should be free."

What is our primary use case?

We run POCs of the Db2 Warehouse for telecoms. We just created the databases, we set the environment to work with, and then the client uploads the data. The solution is primarily used for data analysis. I handle the provisioning.

What is most valuable?

The product offers a lot of integrations with IBM. It works with many brands, products, and solutions. 

It can be mounted on the cloud, which is a huge plus. If the client, for example, starts small with on-premise deployment and then it rapidly needs to grow, we can transfer this to the cloud easily.

The solution is easy to set up and quick to deploy.

The stability is good.

What needs improvement?

So far, the solution is not lacking any features.

It does require knowledge of data management. There is documentation, however, to make the most out of it, you need someone on-side to work closely with the solution.

There should be more material available for training and training should be free.

For how long have I used the solution?

I've used the solution for maybe a year at most.

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IBM Db2 Warehouse
October 2024
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What do I think about the stability of the solution?

The solution is quite stable. Since it's Docker compliant, it's very reliable.

What do I think about the scalability of the solution?

We haven't attempted to scale the product. Since these were proof of concept, we haven't made it really big yet.

How are customer service and support?

We haven't really contracted technical support. As we are a partner, we have a lot of support from the technical team. We have an open ticket, however, the documentation as well it's really well provided. It's very complete.

Which solution did I use previously and why did I switch?

We have partnerships with Cisco as well as Lenovo, and several other vendors.

How was the initial setup?

The initial setup was really easy. It's Docker compliant. You just pull the image from the IBM repository and that's it. The deployment must have taken less than an hour. In order to have it completely working, it takes maybe two hours to set the database connections with the clients. It's really fast.

What other advice do I have?

We are integrator vendors in Bolivia. We are partners with IBM.

It's fairly easy to use it and it has a free trial, therefore, it's really easy to try. I would tell anyone interested it's worth it to take a look. It's really, really simple.

I'd rate the solution at a ten out of ten.

Which deployment model are you using for this solution?

On-premises
Disclosure: My company has a business relationship with this vendor other than being a customer:
PeerSpot user
PeerSpot user
Ingeniero de Software with 1,001-5,000 employees
Vendor
It's easy and practical to use, but if you want to modify a publication of packages, it was renamed.

What is most valuable?

It's easy and practical to use.

How has it helped my organization?

It has helped us increase sales and our inventory.

What needs improvement?

One of the main problems was the publication of the packages, where if you wanted to modify a publication, it was renamed. The other problem is that when you want to generate a copy of the job, you had to redo the mapping between the source and destination.

For how long have I used the solution?

I've used it for nine months.

What was my experience with deployment of the solution?

There was an issue with the scheduler.

Which solution did I use previously and why did I switch?

I previously used DataStage, which I think is better than InfoSphere Warehouse.

Disclosure: I am a real user, and this review is based on my own experience and opinions.
PeerSpot user
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Updated: October 2024
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Data Warehouse
Buyer's Guide
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