There are lots of improvements that Teradata is working on and many that have already been done. However, recently I was in a session with people who are working on the data sciences side of the business. The data science group is not using the Teradata modeling features. Rather, they are using third-party tools for the prediction and forecasting models that they are building. Teradata should focus on functionality for building predictive models because, in that regard, it can definitely improve.

In my experience with Teradata, I have seen their sales strategy and that needs to change. As an organization marketing a product, they need to be cloud-focused instead of the on-premises thinking that they currently have.

There are a few things where you are totally dependent on the customer service and support from Teradata. This is an area where they really need to improve a bit, especially when you're talking about cloud service integration. Depending on the environment you may need to contact the AWS team, or the Azure team, or the GCP team, or the Teradata team. In all of these environments, improvements need to be made.

Teradata is good, but eventually, my company is moving to a higher-level system. You wouldn't want to work on a lower-level system.

As for the areas for improvement in Teradata, since I was working on the very basic, legacy systems, the memory thing was always a challenge. If Teradata is moving to the cloud, the space constraint or the memory issue that my company generally faces will eventually resolve, in time.

What I'd like to see in the next release of Teradata is that it becomes full-fledged on the cloud, apart from better connectivity to various systems. For example, if I have to read or include a Python script, if I write some basic codes, I should be able to read even unstructured data. I know that it's not supported even in Snowflake, but at least semi-structured data support, if that can be a little more enhanced, that would be good.

I've been using the same UI for 20 years in Teradata. It could use some updating. Adding more stability around Teradata Studio would be outstanding. Teradata Studio is a Java-based version of their tool. It's much better now, but it still has some room for improvement.

I'm not sure about the unstructured data management capabilities. It could be improved.

They should, I think, try to do more of this open-source initiative to encourage more people to use it. Otherwise, it's my opinion that they might lose our business in the long run.

Apart from Control-M, it would be nice if it could integrate with other tools. Specifically, with respect to the integrations with the automation tools, if that can be increased, and if the tester could be able to test more automation scripts in a better way it would help. The efficiency could always be increased.

Occasionally, at the outset of the implementation process, we struggled a little bit.

Teradata needs to expand the kind of training that's available to customers. Teradata only offers training directly and doesn't delegate to any third-party companies. As a result, it's harder to find people trained on Teradata in our market relative to Oracle.

They should diversify their sales channels and develop more resellers. Teradata could also be more active in marketing because I rarely see any Teradata events in Russia. They've always had several regional conferences for Teradata users, but I hardly ever see marketing events geared toward new customers.

It could use some more advanced analytics relating to structured and semi-structured data. In other words, there should be a process that makes advanced analytics easier.

The integration capabilities could be improved.

They should improve their marketing to make it easier to sell to customers.

Teradata could improve by providing better training. For example, Oracle provides good overall training. It is not easy to find information on the internet.

Teradata's pricing is quite high compared to Redshift, Synapse, or GCP alternatives. In the next release, I would like Teradata to refine their Object Store to be more compatible with cloud environments.

The scalability could be better. The on-premises solution is always more complicated to scale.

The flexibility could be improved. The product is good if you know what you're planning to do. If you're designing as well, upfront, then it's fine. However, if you've made a mistake in the design work or your system, then it could be quite complex and expensive, and it may not preform well.

An area that needs improvement is the cloud-based version of the solution because it's designed for on-prem and then transferred to the cloud version. Teradata needs to pay attention to the cloud-based solution to make sure it runs smoothly. In the next release, I would like Teradata to be cloud-agnostic in order to not limit customers' choices.

I would like to see more integration with many different types of data.

Teradata's UI could be more user-friendly.