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Domo vs Teradata comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jan 12, 2025

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

Domo
Ranking in Data Integration
44th
Ranking in BI (Business Intelligence) Tools
15th
Average Rating
7.8
Reviews Sentiment
7.0
Number of Reviews
36
Ranking in other categories
Business Performance Management (15th), Reporting (9th), Data Visualization (9th)
Teradata
Ranking in Data Integration
16th
Ranking in BI (Business Intelligence) Tools
10th
Average Rating
8.2
Reviews Sentiment
7.0
Number of Reviews
76
Ranking in other categories
Customer Experience Management (4th), Backup and Recovery (20th), Relational Databases Tools (7th), Data Warehouse (3rd), Marketing Management (6th), Cloud Data Warehouse (6th)
 

Mindshare comparison

As of February 2025, in the Data Integration category, the mindshare of Domo is 0.4%, up from 0.0% compared to the previous year. The mindshare of Teradata is 0.8%, up from 0.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration
 

Featured Reviews

James John Wilson - PeerSpot reviewer
Robust, powerful, and easy to use
There were very few cases on some of the tables, the data tables, where I wish there was an additional feature or two. However, they were particular. What I wanted to see was the ability to collapse when you group a set of rows, let's say when you group them by status or health, so you have your red projects grouped up top. I wanted to compress or collapse that group of red and then open the yellow projects and then the green projects. There were a bit more features in the tables than I wanted to see. They have a widget that you can use either in Microsoft PowerPoint to pull over data into your PowerPoints and refresh graphs or charts or metrics or tables. I would love to see that available in Google Slides. I used it successfully in PowerPoint; however, at one company, they were only using Google products, and so that widget didn't help with reporting in slides. Therefore, we had to do a bit more manual work for our quarterly business reviews or monthly business reviews to produce our executive presentations. Sometimes the fonts were difficult to read if you're trying to put a lot of data in a table and show a lot of rows. Sometimes the fonts got too light, and you had to really play with it to try and figure out how to make it readable. One thing I had to do, and I don't know if it's necessarily a bad thing, was when I was running a meeting, I would have to go turn off the data jobs. If I was running a meeting and a lot of times people were scrambling in the background to do their updates even as the meeting was occurring, it would cause the page to render very slowly. It would sometimes pause or freeze. I found that if I went and turned off the status, the data update jobs that we're pulling data from Smartsheet, then the meetings would work more smoothly, and there were no interruptions or delays.
SurjitChoudhury - PeerSpot reviewer
Offers seamless integration capabilities and performance optimization features, including extensive indexing and advanced tuning capabilities
We created and constructed the warehouse. We used multiple loading processes like MultiLoad, FastLoad, and Teradata Pump. But those are loading processes, and Teradata is a powerful tool because if we consider older technologies, its architecture with nodes, virtual processes, and nodes is a unique concept. Later, other technologies like Informatica also adopted the concept of nodes from Informatica PowerCenter version 7.x. Previously, it was a client-server architecture, but later, it changed to the nodes concept. Like, we can have the database available 24/7, 365 days. If one node fails, other nodes can take care of it. Informatica adopted all those concepts when it changed its architecture. Even Oracle databases have since adapted their architecture to them. However, this particular Teradata company initially started with its own different type of architecture, which major companies later adopted. It has grown now, but initially, whatever query we sent it would be mapped into a particular component. After that, it goes to the virtual processor and down to the disk, where the actual physical data is loaded. So, in between, there's a map, which acts like a data dictionary. It also holds information about each piece of data, where it's loaded, and on which particular virtual processor or node the data resides. Because Teradata comes with a four-node architecture, or however many nodes we choose, the cost is determined by that initially. So, what type of data does each and every node hold? It's a shared-no architecture. So, whatever task is given to a virtual processor it will be processed. If there's a failure, then it will be taken care of by another virtual processor. Moreover, this solution has impacted the query time and data performance. In Teradata, there's a lot of joining, partitioning, and indexing of records. There are primary and secondary indexes, hash indexing, and other indexing processes. To improve query performance, we first analyze the query and tune it. If a join needs a secondary index, which plays a major role in filtering records, we might reconstruct that particular table with the secondary index. This tuning involves partitioning and indexing. We use these tools and technologies to fine-tune performance. When it comes to integration, tools like Informatica seamlessly connect with Teradata. We ensure the Teradata database is configured correctly in Informatica, including the proper hostname and properties for the load process. We didn't find any major complexity or issues with integration. But, these technologies are quite old now. With newer big data technologies, we've worked with a four-layer architecture, pulling data from Hadoop Lake to Teradata. We configure Teradata with the appropriate hostname and credentials, and use BTEQ queries to load data. Previously, we converted the data warehouse to a CLD model as per Teradata's standardized procedures, moving from an ETL to an EMT process. This allowed us to perform gap analysis on missing entities based on the model and retrieve them from the source system again. We found Teradata integration straightforward and compatible with other tools.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"The user interface is quite good."
"The ability to create custom connectors was useful because you never know, with customers, what platform they want to utilize or what data they have. It gave us a lot of flexibility in being able to bring data in from different places."
"In Workbench 5, they have come up with a very useful feature called Upsert. When you're pushing data into the data set, if the data is already available it will update the data, and if that the data is not there it will insert it. That is a beneficial feature that they introduced in the latest version."
"Domo is not a difficult tool to learn. All you need to know is the SQL for the ETL part. You don't need to write much code. That's the great part. It uses legacy languages, like SQL, which is very common among developers who then don't have to go and learn Domo's own syntax. Therefore, you don't have to learn another hard language to use Domo."
"Using the "cards" which function as preconfigured reports or views. I use many of them simultaneously on an organized page, with filters that allow me to see high-level information as well as subsets across the dataset, in a few clicks. Many Excel-challenged users love to use this product for its simplicity."
"We have found securing data valuable because it allows us to provide information without identifying individuals."
"One feature which I have found to be very interesting is the Beast manager, where you can create calculated fields. They are shared in one common repository so someone else can use the same calculated fields; they don't have to rewrite or reinvent the APIs."
"The dashboard is the most valuable feature and allows for customization to create and share reports."
"Teradata is a great, industry-leading data warehousing product that has MPP architecture."
"​Building a data warehouse with Teradata has definitely helped a lot of our downstream applications to more easily access information."
"The feature that we find most valuable is its ability to perform Massive Parallel Processing."
"The product is reliable."
"Teradata's capabilities enhance data management efficiency, support scalability, and contribute to faster query performance."
"Improved performance of ETL procedures, reporting."
"It is quick, secure, and has less hassles because we don't have to involve our networking team, infrastructure, etc. It is very easy to deploy and make market ready."
"Cuts time to process huge amounts of data with efficient analytical queries."
 

Cons

"I would like to see more dashboard creation options."
"If Domo had a Copilot feature, you could interact with the graphs and talk to the graphs and tables."
"It's too early for me to say that something needs improvement, but there are times when there have been some flexibility issues with Domo... Tableau has a window function which can be integrated into a calculated field. That is missing in Domo so you have to make changes to the data set using ETL or SQL."
"They could use more charts. They have had a very limited number of charts we can use. I believe, now, there are somewhere around 30 of them, but they could definitely use some more options."
"There's a learning curve before you can get used to the solution."
"In terms of the analytics, there is quite a limited set of options when using Domo. Whereas with Tableau we can perform heavy statistical computations, Domo doesn't have that capability. Domo is quite limited on that side."
"I would like to see more flexibility in their pricing structure. The trend is moving from database pricing to a user-license pricing model. That would be a benefit if they wanted to reevaluate their pricing structure."
"I would like to be able to drill down more when there is a particular area where there is a problem. I don't clearly see that in Domo at the moment."
"An additional feature I would you like to see included in the next release, is that it needs to be more cloud-friendly."
"Teradata is somewhat late in adopting cloud technology."
"They should add more connectors to different platforms."
"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."
"Needs compatibility with more Big Data platforms."
"Teradata's pricing is quite high compared to Redshift, Synapse, or GCP alternatives."
"Teradata needs to pay attention to the cloud-based solution to make sure it runs smoothly."
"The following could be better: licensing, architecture openness, integration with other tools."
 

Pricing and Cost Advice

"Domo is slightly costly but it's much cheaper than some."
"Domo has more than one licensing model. You can choose between the yearly subscription and the per-user licensing model. The tool is flexible in terms of licensing. As for the cost, Domo is an end-to-end BI tool so its pricing is a little higher than other players in the market, for example, non end-to-end BI tools such as OBIEE and Tableau specific only for business intelligence and presenting data to the end users, unlike Domo which handles everything. You want to get Domo as an integration tool, an ETL tool, etc. As the tool is end-to-end, its cost is always going to be a little higher than other BI tools, but it's worth paying because you won't have to spend extra for other activities. After all, Domo can do those activities."
"For about 100 users our cost is $95,800."
"The price that they offered was around $200 per user license. It was pretty cheap at that time compared to other companies. I think they have revamped their pricing structure since then."
"The solution is expensive compared to one of its competitors."
"We are making money from Domo, and all our clients are happy with the information that they receive from it."
"I think it is reasonable."
"They've built an "app economy." Some of them are really expensive, so they're not for startups and smaller companies. They're more like enterprise tools. We couldn't afford some of them, because they were so crazy expensive. But if I was working for a bank, insurance company, or some bigger corporation then, for sure, you could justify those prices... It was silly expensive back then and it probably still is, or even more expensive."
"The price of Teradata is on the higher side, and I think that it where they lose out on some of their business."
"The product cost is high for what the client gets. There may be more cost-effective solutions for small and medium-sized organizations."
"The price of the solution could be reduced, it is expensive."
"In the past, it turned out that other solutions, in order to provide the full range of abilities that the Teradata platform provides plus the migration costs, would end up costing more than Teradata does."
"The cost is significantly high."
"Users have to pay a yearly licensing fee for Teradata IntelliFlex, which is very expensive."
"We had a lot of parties involved when purchasing from the AWS Marketplace. They are very flexible and aggressive in trying to close the deal. They are good at what they have to offer and listening to the customer. It's a two-way street."
"Teradata used to be expensive, but they have been lowering their prices."
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Comparison Review

it_user232068 - PeerSpot reviewer
Aug 5, 2015
Netezza vs. Teradata
Original published at https://www.linkedin.com/pulse/should-i-choose-net Two leading Massively Parallel Processing (MPP) architectures for Data Warehousing (DW) are IBM PureData System for Analytics (formerly Netezza) and Teradata. I thought talking about the similarities and differences…
 

Top Industries

By visitors reading reviews
Computer Software Company
12%
University
9%
Manufacturing Company
9%
Healthcare Company
7%
Financial Services Firm
26%
Computer Software Company
10%
Manufacturing Company
8%
Healthcare Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

What do you like most about Domo?
All our client SLAs and daily and weekly dashboards are tracked on Domo.
What needs improvement with Domo?
Dashboard settings in Domo are not much different from other platforms like Power BI. Data integration is okay, but not the best. Additionally, sometimes, if you want to revert data, Domo lacks fea...
Comparing Teradata and Oracle Database, which product do you think is better and why?
I have spoken to my colleagues about this comparison and in our collective opinion, the reason why some people may declare Teradata better than Oracle is the pricing. Both solutions are quite simi...
Which companies use Teradata and who is it most suitable for?
Before my organization implemented this solution, we researched which big brands were using Teradata, so we knew if it would be compatible with our field. According to the product's site, the comp...
Is Teradata a difficult solution to work with?
Teradata is not a difficult product to work with, especially since they offer you technical support at all levels if you just ask. There are some features that may cause difficulties - for example,...
 

Comparisons

 

Also Known As

corda
IntelliFlex, Aster Data Map Reduce, , QueryGrid, Customer Interaction Manager, Digital Marketing Center, Data Mover, Data Stream Architecture
 

Overview

 

Sample Customers

Capco, SABMiller, Stance, eBay, Sage North America, Goodwill Industries of Central Indiana, Telus, The Cliffs, OGIO International Inc., and many more!
Netflix
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