Hubble vs Teradata comparison

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Hubble

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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: October 2024).

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Categories and Ranking

Hubble

Average Rating

8.4

Number of Reviews

Ranking in other categories

Business Performance Management (30th), Financial Performance and Strategy Management (9th), Data Visualization (27th), Financial Close Software (22nd)

Teradata

Average Rating

8.2

Number of Reviews

Ranking in other categories

Customer Experience Management (3rd), Backup and Recovery (20th), Data Integration (17th), Relational Databases Tools (7th), 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%, down 0.5% compared to last year.
Teradata, on the other hand, focuses on Data Warehouse, holds 16.8% mindshare, up 15.0% since last year.

Business Performance Management

Data Warehouse

Featured Reviews

Priya Govind

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

Dec 21, 2021

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

We use the Hubble budgeting tools for budgeting and forecasting Hubble provides faster calculations compared to Excel. The most valuable features are both its budgeting and forecasting. We have been advised by the owners that the budgeting tool is no longer going to be supported with future…

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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 most valuable features are both its budgeting and forecasting."

"We did performance testing. We had a set of real life MicroStrategy reports. Our conditions were: Not allowed to redesign data model, not allowed to rewrite the queries, all queries should be generated by MicroStrategy, no aggregates. Teradata appeared to be way faster than a similarly configured (in terms of hardware) Oracle server."

"The tool's most valuable feature is the warehousing model."

"The product's scalability is great. Scalability-wise, I rate the solution a ten out of ten."

"The feature that we find most valuable is its ability to perform Massive Parallel Processing."

"It has massive parallel processing ability to do large amounts of concurrent querying."

"I like writing preformance queries for preprocessing on AWS Cloud."

"Teradata features high productivity and reliability because it has several redundancy options, so the system is always up and running."

"The performance is great, we are able to query our data in one operation."

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's UI could be more user-friendly."

"There is a need to improve performance in high transaction processes, as well as the reporting system."

"Teradata's pricing is quite high compared to Redshift, Synapse, or GCP alternatives."

"Sometimes the large injestion takes days to load data, and some of our stored procedures take two to three days."

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

"The setup is not straightforward."

"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."

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

More Teradata cons

Pricing and Cost Advice

Information not available

"The price of the solution could be reduced, it is expensive."

"It comes at a notably high cost for what it offers."

"The initial cost may seem high, but the TCO is low."

"Make sure you have the in-house skills to design and support the solution, as relying on external sources is extremely costly and tends to lock you into specific platforms, tools, and paradigms."

"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."

"The cost is significantly high."

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

"Teradata is currently making improvements in this area."

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

Computer Software Company

17%

Government

11%

Financial Services Firm

11%

Manufacturing Company

10%

Financial Services Firm

25%

Computer Software Company

11%

Manufacturing Company

Healthcare Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

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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...

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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...

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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,...

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Comparisons

Microsoft Power BI vs Hubble

Compared 31% of the time

Splunk Enterprise Security vs Hubble

Compared 30% of the time

Tableau vs Hubble

Compared 20% of the time

Splunk Enterprise Platform vs Hubble

Compared 19% of the time

More Hubble 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

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Product Reports

Business Performance Management

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Also Known As

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

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Hubble

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.

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

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