Hubble vs Teradata comparison

Read 76 Teradata reviews

3,838 Views
2,879 Comparison Views

87% willing to recommend

Hubble

Comparison Buyer's Guide

Download the report

Executive Summary

We performed a comparison between Hubble and Teradata based on real PeerSpot user reviews.

Find out what your peers are saying about Anaplan, Oracle, IBM and others in Business Performance Management.

To learn more, read our detailed Business Performance Management Report (Updated: April 2025).

Business Performance Management

Download the complete report

Helped 850,760 peers since 2012

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

Hubble

Average Rating

8.4

Reviews Sentiment

6.7

Number of Reviews

Ranking in other categories

Business Performance Management (33rd), Financial Performance and Strategy Management (15th), Data Visualization (27th), Financial Close Software (25th)

Teradata

Average Rating

8.2

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Customer Experience Management (6th), Backup and Recovery (20th), Data Integration (17th), Relational Databases Tools (8th), Data Warehouse (3rd), BI (Business Intelligence) Tools (10th), Marketing Management (6th), Cloud Data Warehouse (6th)

Mindshare comparison

While both are Business Intelligence solutions, they serve different purposes. Hubble is designed for Business Performance Management and holds a mindshare of 0.3%, up 0.2% compared to last year.
Teradata, on the other hand, focuses on Data Warehouse, holds 15.9% mindshare, up 15.5% since last year.

Business Performance Management

Data Warehouse

Featured Reviews

Priya Govind

Financial / IT Director at a manufacturing company with 501-1,000 employees

Excellent for budgeting and forecasting, but long-term it will no longer be developed or supported

The fact that in a few years' time it is no longer going to be supported is a big concern. Therefore, I would advise against Hubble. Additionally, I think we underestimated the time for deployment, we thought it would be a few months and it took much longer than expected because the consultants didn't understand our process in detail before committing to the process. On a scale of one to ten, I would give Hubble a seven.

Read full review

SurjitChoudhury

Data engineer at Cocos pt

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.

Read full review

Quotes from Members

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

Pros

"The most valuable features are both its budgeting and forecasting."

"I found all parts --loading, transformation, processing & querying work in parallel, and end-to-end-- to be valuable."

"Improved performance of ETL procedures, reporting."

"A conventional and easily defined way to build a data warehouse or a layer of data marts."

"Teradata's most valuable feature is that it's easy to use."

"In Data Lab, you can schedule any testing you want to do in production. You can take a small subset of data from production, copy it there, and run all your tests. It reduces your testing costs because it's all in the lab."

"It's very mature from a technology perspective."

"The solution scales well on the cloud."

"It's very, very fast"

More Teradata pros

Cons

"We have been advised by the owners that the budgeting tool is no longer going to be supported with future development, so my recommendation would be for them to continue to invest in development. Otherwise, at some point we will have to migrate to another technology."

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

"The only issue our company has with Teradata IntelliFlex is that it is not cost-effective because of the way the product has been designed."

"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."

"The SQL Assistant is very basic. This tool can be improved for usability."

"It needs a teaching web site with more training on third-party tools used for BI."

"The cloud is the new challenge and the new opportunity."

"The initial setup is complex because there are a lot of factors that come into play, including the amount of software and applications that require access."

"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."

More Teradata cons

Pricing and Cost Advice

Information not available

"Teradata is expensive, so it's typically marketed to big customers. However, there have been some changes, and Teradata is now offering more flexible pricing models and equipment leasing. They've added pay-as-you-go and cloud models, so it's changing, but Teradata is generally known as an expensive high-end product."

"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."

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

"Teradata pricing is fine, and it's competitive with all the legacy models. On a scale of one to five, with one being the worst and five being the best, I'm giving Teradata a three, because it can be a little expensive, when compared to other solutions."

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

"I am using the free version of Teradata."

"The price of Teradata is expensive. However, what they deliver they are outstanding. If you're looking for an inexpensive solution to run a database, this isn't your tool. It's the Ferrari of databases for data warehousing."

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

More Teradata pricing and cost advice

See which vendors are best for you

Use our free recommendation engine to learn which Business Performance Management solutions are best for your needs.

See recommendations

850,760 professionals have used our research since 2012.

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…

Read full review

Top Industries

By visitors reading reviews

Financial Services Firm

13%

Manufacturing Company

10%

Computer Software Company

10%

Media Company

Financial Services Firm

26%

Computer Software Company

11%

Healthcare Company

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

Ask a question

Earn 20 points

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

Microsoft Power BI vs Hubble

Compared 36% of the time

Tableau vs Hubble

Compared 34% of the time

Splunk Enterprise Platform vs Hubble

Compared 30% of the time

More Hubble Competitors

Oracle Exadata vs Teradata

Compared 13% of the time

SQL Server vs Teradata

Compared 11% of the time

Snowflake vs Teradata

Compared 7% of the time

MySQL vs Teradata

Compared 6% of the time

IBM Db2 Database vs Teradata

Compared 6% of the time

More Teradata Competitors

Product Reports

Business Performance Management

Download Hubble product report

Download Teradata product report

Also Known As

No data available

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

Overview

Hubble by insightsoftware.com is an integrated suite of business performance management apps, for JD Edwards and Oracle E-Business Suite, offering reporting, analytics, and planning in a single real-time solution that fully understands your ERP. Hubble integrates all of your critical business systems so that users at all levels have access to real-time data and the ability to automate planning, budgeting, forecasting, and financial close processes. Hubble reporting allows you to connect the whole company around a single source of truth for consistent, accurate decision making. In the financial reporting application, you have access to pre-built templates or you can create your own custom reports. The Hubble analytics application connects data from every facet of your organization to your ERP to create personalized dashboards, scorecards, and visuals. The planning application gives finance and business users the ability to budget, forecast, plan, and close in real-time. View your actuals next to budgets for an up-to-date view of current business performance. You can create your own reports, so that IT no longer needs to be involved.

Hubble

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

Dole, Ghiradelli, Ninetendo, Avon, Hallmark, Treasury Wine Estates, Kitchener-Wilmot Hydro, City of Prince George, Weingarten Realty Investors, Coloplast A/S, Western Forest Products Inc, The Deltic Group Ltd, Financial Times, Johnson & Johnson, Mitsubishi, National Geographic Maps

Netflix

Business Performance Management