Denodo vs Teradata comparison

Denodo and Teradata are both solutions in the Data Integration category. Denodo is ranked #13 with an average rating of 8.0, while Teradata is ranked #17 with an average rating of 7.8. Additionally, 93% of Denodo users are willing to recommend the solution, compared to 86% of Teradata users who would recommend it.

Denodo

Read 31 Denodo reviews

4,817 Views
2,929 Comparison Views

93% willing to recommend

Teradata

Read 74 Teradata reviews

857 Views
720 Comparison Views

86% willing to recommend

Denodo

Teradata

Comparison Buyer's Guide

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Executive SummaryUpdated on Oct 6, 2024

Teradata and Denodo compete as leading data management solutions. Teradata seems to have the upper hand with its advanced analytics and data warehousing capabilities, while Denodo is preferred for data virtualization.

Features: Teradata is known for its robust integration capabilities, comprehensive analytics features, and strong performance on large-scale data processing. Denodo is recognized for superior data virtualization attributes, real-time data integration, and effective virtualization options.

Room for Improvement: Teradata users suggest enhancing user training, reducing workflow complexity, and simplifying integration processes. Denodo could benefit from improved scalability, a streamlined learning curve, and expanded user support documentation.

Ease of Deployment and Customer Service: Teradata deployment benefits from strong support but is considered complex, requiring more effort upfront. Denodo offers easier installation and maintenance with efficient support services, presenting simplicity and effective customer support.

Pricing and ROI: Teradata users find setup costs high but justify them with strong ROI due to enhanced data analytics capabilities. Denodo provides competitive pricing and encouraging ROI, thanks to efficient virtualization and integration, making it a more cost-effective choice.

To learn more, read our detailed Data Integration Report (Updated: October 2024).

Buyer's Guide

Data Integration

October 2024

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Categories and Ranking

Denodo

Ranking in Data Integration

13th

Average Rating

7.8

Number of Reviews

Ranking in other categories

Data Virtualization (1st), Cloud Data Integration (9th)

Teradata

Ranking in Data Integration

17th

Average Rating

8.2

Number of Reviews

Ranking in other categories

Customer Experience Management (3rd), Backup and Recovery (20th), Relational Databases Tools (7th), Data Warehouse (3rd), BI (Business Intelligence) Tools (10th), Marketing Management (6th), Cloud Data Warehouse (6th)

Q&A Highlights

Ulagammal (Ulags) Paramasivam

DA at HC

Apr 19, 2024

Which solution has better performance: Taradata QueryGrid or Denodo?

Denodo by far

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Featured Reviews

Dash Bibhuprasad

Lead Solution Architect at a insurance company with 10,001+ employees

Sep 7, 2022

Saves our underwriters' time with data virtualization, but could provide more learning resources

As a company, we first did a proof-of-concept for about four months to make sure the product was a perfect fit for us or not, and beyond that I have only used Denodo for another year or so, so I know that we haven't used the product to its fullest yet. Indeed, a lot of Denodo has changed since we had our first presentation on it with the Denodo sales team who gave us a rundown of all the features. Nevertheless, there are multiple ideas I could suggest in terms of improvement. First of all, the visualization and reporting could be better. Of course, the data virtualization is good, but the data visualization could be improved with regards to the real-time dashboarding of the graphs, pie charts, etc. For the real-time data, the dashboard should preferably be updated automatically every hour. Let's say, as a CEO or CFO, I just want to know how much premium the company will get at any hour of the day. This data should be readily available on the dashboard. This is largely why we stick with Power BI's dashboarding features (besides the simple fact that Power BI works well hand-in-hand with Azure), and why we still haven't used Denodo's data visualization features as much as the data virtualization features. Another area we have been struggling with is the integration of Denodo with both Salesforce and MuleSoft, which we use to track the customers in our sales system, such as when sending insurance quotes. When we first tried to integrate Salesforce, we found that there was some type of version incompatibility. We had a hard time talking with Salesforce about this, but eventually we upgraded our version and the integration was resolved. Yet, this was a challenge that I feel we didn't need to go through, as we were not able to quickly map out the issue. And with MuleSoft, we have not been able to integrate it properly at all. I have also seen our users complain about the availability of data sources, where they are sometimes not able to connect to all the sources they need. This kind of complaint, however, is difficult to diagnose, and I don't know for sure whether it is due to how we have Denodo set up in the company, or whether it's an actual issue with Denodo itself. These complaints were mainly made during the first few months of our usage, so it is possible that the problems stemmed from a lack of knowledge on how to use Denodo correctly, especially since the individual feedback would generally be something vague like, "Okay, I'm not able to do this". To help resolve these complaints, I would suggest that Denodo work on better documentation and perhaps some kind of virtual training. For example, there's an insurance software company called Guidewire, and when we first brought Guidewire into the company they sent us a lot of training videos even before the actual integration took place. For Denodo, it would be beneficial to make sure that the team that will be using it has some kind of training on how to use the product at least a month beforehand, and there could even be some kind of feedback or Q&A sessions to go along with the training. If Denodo were able to provide this kind of training, it would be very helpful to users in insurance and banking companies because the staff are typically older and not always technically-minded. They say, "You are pushing us too hard", so they need encouragement when it comes to adoption of a new software product.

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SurjitChoudhury

Data engineer at Cocos pt

Feb 20, 2024

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.

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Quotes from Members

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

Pros

"The data abstraction is the most valuable feature."

"The logical data warehouse functionality is fantastic. It truly stands out. The ClearOptimizer and Virtual Cache are great features. They work together seamlessly to optimize performance."

"The most valuable features are query optimization and the single language independence from the sources we're using to catch data."

"The most valuable features of Denodo are the extraction option for adapters, and there are many things for the views, that are cached. Denodo is not storing the data, it looks first to tune the query, and these things are for the agents."

"We can consume data fast."

"The most valuable feature is the performance. Denodo is very useful, especially in this huge pharma environment. I've found that older SAP solutions were very tightly coupled to each other, which resulted in data restrictions. Getting data from different sources was tough and tedious. Compared to these old solutions, Denodo is very easy to work with for the analytical team. Now that we've implemented this virtualization layer, we are capable of getting the data very smoothly. We implemented a very small unit, but the performance and integration have been very good."

"Denodo makes it easy to export data as a service or data link to other services."

"It is a very stable solution."

More Denodo pros

"The ease of deployment is useful so clients are up and running quickly in comparison to other products."

"The most valuable feature of Teradata is security. It runs on Unix and Linux platforms which provide better security."

"The most valuable feature of Teradata is the quick processing of large data."

"Viewpoint, the detailed query logs and performance statistics are valuable features."

"The functionality of the solution is excellent."

"It effectively has allowed us to remove over 20 portion copies of the data sets on other DB platforms for real-time operational reporting purposes."

"The most valuable features are the large volume of data and the structuring of the data to optimize it and get very optimal data warehouse solutions for customers."

"We really enjoy the FastLoad, TPump, and MultiLoad features."

More Teradata pros

Cons

"The git configuration really should be improved."

"Performance management could be improved."

"The feature that you have to connect on LDAP needs improvement."

"The integration could use improvement, it's a lot of non-speed line processes that we have discovered, in the country. The configurations could use a lot more improvement."

"Denodo's training documentation could be improved by providing more material. From an administrative standpoint, I've found that only Denodo websites provide the usual tutorials. It may be because it's a bit of a restricted tool, but it results in trouble with learning. Normally, I can find help and solutions from other sources, but I haven't been able to find any for Denodo. Other that, it's fine and it performs well. I only have six months of experience, so I can't accurately suggest improvements."

"Tasks such as conversion of a date format or conversion of a number format that can be done in a very easy way in different languages, like SQL or Oracle, are not so easy to do in Denodo. For example, if you want to convert a date from one format to another, in Oracle it's pretty easy; in Denodo, however, it requires so many lines of code. Simple things that can be done very quickly in other database languages require more lines of code in Denodo."

"It would be good if the solution provided a much-needed cellular platform."

"Data transformation must be improved."

More Denodo cons

"Teradata has a few AI models, but in data science, we need more flexibility."

"If I want to implement an upgrade, I'd like to see how it will be different. Ideally, Data Lab should help me test production items and also do future things. Future releases should be downloadable and testable in Data Lab."

"It is hard for some of our users to set up rules for cleansing and transforming data, so this is something that could be improved."

"Teradata needs to pay attention to the cloud-based solution to make sure it runs smoothly."

"An additional feature I would you like to see included in the next release, is that it needs to be more cloud-friendly."

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

"From my perspective, it would be good if they gave better ITIN/R plugins to use the data for AI modeling, or data science modeling. We can do it now; however, it could be more elegant in terms of interfacing."

"Teradata is a bit late for the cloud."

More Teradata cons

Pricing and Cost Advice

"I am not super familiar with the pricing, but so far, it seems good. We have been happy. We haven't seen any problems. The only time we had to pay extra was during the upgrade. We didn't upgrade at the time they told us to upgrade, and we had to pay extra to keep the service. They had stopped the support for the older version and moved to the newer version. It was not their fault. It was our fault because we didn't get on board quickly."

"I don't know the actual cost, but it's tens of thousands of dollars per month."

"Depending on the size of the client you want to work with, it can be prohibitively expensive at times."

"Talking with my manager and others, nobody has complained about the pricing so far which is a positive sign."

"The licensing should be improved, as the cost per connector is quite expensive."

"The cost for Denodo is in line with other similar products."

"For us, the cost has been okay. Also, there are no additional costs; it's just the standard licensing fee."

"The pricing is pretty good, and I would rate it at four out of five."

More Denodo pricing and cost advice

"The price of Teradata is on the higher side, and I think that it where they lose out on some of their business."

"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."

"When looking into implementing this product, pricing is the main issue followed by technical expertise."

"Teradata is not cheap, but you get what you pay for."

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

"Teradata is expensive but gives value for money, especially if you don't want to move your data to the cloud."

"The price of Teradata could be less expensive."

More Teradata pricing and cost advice

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Comparison Review

it_user232068

Senior Data Architect at a pharma/biotech company with 1,001-5,000 employees

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…

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Top Industries

By visitors reading reviews

Financial Services Firm

20%

Manufacturing Company

10%

Computer Software Company

Energy/Utilities Company

Financial Services Firm

25%

Computer Software Company

11%

Manufacturing Company

Healthcare Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

Questions from the Community

Does Denodo provide useful data virtualization education? Is it useful to attend their training?

If you are a Denodo user, it makes sense to undergo their training. Different types of professionals can benefit from it, including administrators, developers, and architects. If you are keen on i...

See all answers

In experience, what might Denodo be lacking or need improvement on?

I like Denodo a lot. It offers quick and easy web service deployment within minutes. There are not any flaws that I think make the product less good or effective. The only thing I can point out is...

See all answers

Which industries can benefit from Denodo the most?

Denodo is suitable for pretty much all sectors that deal with: Big data Cloud solutions Data governance Logical data fabric Master data management In my opinion, organizations in different fields...

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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...

See all answers

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...

See all answers

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,...

See all answers

Comparisons

Azure Data Factory vs Denodo

Compared 13% of the time

MuleSoft Anypoint Platform vs Denodo

Compared 9% of the time

AWS Glue vs Denodo

Compared 7% of the time

Delphix vs Denodo

Compared 7% of the time

SAP HANA vs Denodo

Compared 3% of the time

More Denodo Competitors

SQL Server vs Teradata

Compared 14% of the time

Oracle Exadata vs Teradata

Compared 13% of the time

Snowflake vs Teradata

Compared 9% of the time

MySQL vs Teradata

Compared 8% of the time

Vertica vs Teradata

Compared 5% of the time

More Teradata Competitors

Product Reports

Buyer's Guide

Denodo

October 2024

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Buyer's Guide

Teradata

September 2024

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Also Known As

No data available

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

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Denodo

Teradata

Overview

Denodo is a leading data integration, management, and delivery platform that uses a logical approach to enable data science, hybrid and multi-cloud data integration, self-service BI, and enterprise data services. Organizations of different sizes across various industries utilize the product to get above the data silos. The solution offers organizations the freedom to migrate data to the cloud, or logically unify data warehouses and data lakes, without affecting business. This can ultimately result in the evolution of data strategies.

The platform accelerates data provisioning through reduced data replication, provides business users the freedom to select their preferred applications, and enables consistent security and governance across multiple systems. The solution offers one of the leading logical data fabric solutions by initiating data virtualization and eliminating the complexity and exposing the data in business-friendly formats.

Denodo also offers modern data integration and management for hybrid and multi-cloud environments for Denodo Platform for Cloud. This service can be purchased through the bring-your-own-license (BYOL) option. Users seeking faster deployment can license the product to popular cloud providers, including Amazon AWS, Google Cloud Platform, and Microsoft Azure. The solution integrates, manages, and delivers data in complex environments with high performance, governance, and security. It also offers additional solutions, such as the Denodo Platform for Cloud Modernization, the Denodo Platform for Cloud Data Integration, and the Denodo Platform for Cloud Analytics, which overcome common cloud data challenges.

Denodo Features

At the beginning of 2022, version 8.0 of Denodo introduced several new key features of the platform. These include:

Scalability: Denodo can scale from departmental or project to enterprise-wide with geographically distributed nodes. It can also handle large transactional loads of users, sources, and transactions as well as analytical loads of data volumes.
Query optimizers: This feature offers advanced cost-based and source constraint-based query optimization that includes query rewrite, query delegations, data movements, and join optimization.
Intelligent caching: This feature makes full, portal, and time-based caching possible.
Fine-grained security model: This Denodo feature makes integration with external systems possible.
Monitoring and auditing: Denodo offers enterprise-grade monitoring and auditing, which allows for integration with system management products, including Tivoli, Unicenter, and HP BTO.
Development and deployment support: The product offers full lifecycle support for the development and deployment of applications, providing users with all required tools.

Denodo Benefits

Denodo offers various benefits for its users through its services. Some of the greatest advantages of using this platform include:

The solution accelerates time to market for all types of business data through its services.
Denodo provides IT agility, which helps companies respond to business-changing demands in a timely manner.
Users can decide how much data replication they want to reduce through Denodo and use the product in full control.
The solution meets the industry's security and privacy requirements by providing high-grade protection for users' data.
Users can benefit from centralized control of data query executions for complete governance and full security.
Denodo offers legacy replacement, multi-cloud deployments, and cloud migrations with minimal disruptions and a fair price.
The solution utilizes artificial intelligence (AI) and machine learning (ML) to unlock data potential for customers.

Reviews from Real Users

Naresh M., a senior application developer at a financial services firm, appreciates Denodo because it offers quick and simple web services creation.

Alisson M., a senior BigData DevOps engineer at Schaeffler, says that Denodo is great for queries and scouting data.

Teradata is a scalable data analytics platform designed to meet enterprise demands for large-scale data management and processing, focusing on performance, scalability, and security for complex query executions.

As a leading data warehousing solution, Teradata integrates advanced analytics enabling organizations to derive insights from massive datasets. It supports high-volume data workloads with its architecture optimized for analytical queries. Users benefit from its robust scalability, allowing seamless expansion as data grows. Teradata's SQL engine is compatible with a wide range of data types, ensuring flexibility in data analysis. With advanced security measures, it protects sensitive data across various environments, providing peace of mind to users handling critical information.

What are the most important features of Teradata?

Linear Scalability: Easily expands data processing capabilities to handle increasing data loads without performance degradation.
Advanced Analytics: Supports complex analytical operations integrating machine learning and AI for predictive insights.
SQL Compatibility: Offers a comprehensive SQL interface that supports complex queries across diverse data types.
Data Security: Implements rigorous security protocols to protect data integrity and confidentiality.

What benefits and ROI should users look for?

Improved Decision-Making: Derive actionable insights quickly for strategic business decisions.
Cost Efficiency: Optimized resource usage reduces operational costs associated with data processing.
Increased Productivity: Streamlined data operations save time, allowing teams to focus on analysis.
Enhanced Scalability: Seamless growth without significant additional investment as data volumes increase.

Teradata is widely used in industries like finance, telecommunications, and healthcare, where data-driven decisions are critical. Companies leverage its robust analytics capabilities to enhance customer experiences, streamline operations, and ensure compliance with regulatory requirements. In these sectors, quick access to data insights can significantly impact competitive advantage.

Sample Customers

Autodesk, VHA, AAA, Sumitomo Mitsui Trust Bank, Caterpillar, European Chemical Agency, Seagate, Nationwide, Time Warner Cable, Pantex, Inditex, BNSF Railways, Vodafone, CIT Group, Jazztel, Wolters Kluwer, Telefonica, TransAlta

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