What needs improvement with Teradata?

Teradata has a few AI models, but in data science, we need more flexibility. We can’t be limited to what's pre-built in the database. Typically, data science projects require experimenting with different models, so the limitation is that Teradata only has basic machine learning models in its database. Data science requires more advanced modeling, and you always want to search for the best possible approach. Combining the capabilities of Teradata with custom data science models will take time to mature, but it shows promise. Teradata needs to promote it more. If they're the first to introduce things like in-database AI, they should really focus on promoting that. I haven't heard much about it, but maybe that's because the environment I’ve been working in recently has been mostly open-source. I’ve been doing applied research and freelance work that didn’t rely on robust vendor products, so I never got a chance to compare Teradata to others. I have heard about Databricks, though.

Azure Synapse SQL has evolved from a solely dedicated support tool to a data lake. It can store data from multiple systems, not just traditional database management systems. On the other hand, Teradata has limitations in loading flat files or unstructured data directly into its warehouse. In Azure Synapse SQL, we can implement machine learning using Python scripts. Additionally, Azure Synapse SQL offers advanced analytical capabilities compared to Teradata. Teradata is also expensive.

Teradata is an expensive tool. Like, if you're already using Microsoft products like Windows, they'll market all their products together. And with the rise of cloud technologies, companies will adopt solutions that offer them some privileges or facilities. Similar to how SAP does it in the market, so do Microsoft and other companies. Even Oracle and other such tools are quite commonly seen compared to Teradata's competitors in everyday solutions.

In our experience with Teradata, we haven't seen any significant weaknesses. However, when it comes to scalability, limited interest and success in some areas make us hesitate about upgrading. In the future, I would like to see Teradata incorporate features that allow it to handle unstructured data. Additionally, improvements in documentation to make it more user-friendly and up-to-date would enhance the overall user experience.

Teradata hardly supports unstructured data or semi-structured data. Teradata is very costly, and it's not easy to upgrade or expand the components in Teradata. A lot of infrastructure needs to be set up in order to use Teradata.

Sometimes the large ingestion jobs takes days to load data, and some of our stored procedures take longer. I don't know whether it's the tool or the network, but it takes a long time to execute complex commands.

Teradata can improve the way it handles big data and unstructured data.

I'd like to see a better relationship with the business itself. Business users have trouble finding solutions when they run into issues in the data warehouse. It can be a bit complex to work with. Regarding data warehousing, I'd like to see more data and business analysis to help with the design and development. It's primarily designed for big projects and therefore, the pricing is pretty high. It's not suitable for smaller companies.

The solution could improve by having a cloud version or a cloud component. We have to use other solutions, such as Amazon AWS, Microsoft Azure, or Snowflake for the cloud.

The market is enhancing, and every day, BigQuery, Snowflake, Redshift, and all these competitors are moving very, very fast. They're bringing out many new features. For example, Snowflake now has Time Travel and cloning and all these very interesting features. Teradata is an old data warehouse, and they're not improving in terms of new, innovative features. Basically, they're pretty much consistent and unchanging. They're not bringing new features. I've been working with it for eight years, and I have not seen so many new features. Maybe there have been only one or two in the last eight years. Innovation is something that is a bit slow with respect to Teradata. Other competitors are better in terms of new innovations. I'd like to see Teradata add features like cloning or time travel. There is a query tool. However, we need to install the tool in order to fetch records. With other data warehouses, they have a web-based tool that allows for queries without having to download. The initial setup is not too easy. When we want to scale, we need to go to Teradata to initiate the process.

Teradata is a bit late for the cloud. They maybe need to have some room for cloud improvements. Scalability is limited on-premises. The solution could use more AI support.

Teradata's UI could be improved.

Any value this product provides is offset by the high cost and lack of scalability. We're moving to Snowflake because of the scalability and cost differentials. There are better, more flexible, robust, and economical options out there.

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.

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.

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.

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

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.

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

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.

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.

What really needs to improve, is their general cloud services. That is their biggest downfall at the moment.

The user interface needs to be improved. The price needs to be more competitive as Hadoop, Redshift, Snowflake, etc are constantly making way into EDW space.

I would like to see an improved Knowledge Base on the web.