Oracle Analytics Cloud vs Teradata comparison

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Oracle Analytics Cloud

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Executive SummaryUpdated on Sep 30, 2025

Teradata and Oracle Analytics Cloud compete in the field of enterprise data management and analytics. Oracle Analytics Cloud has the upper hand due to its comprehensive analytics capabilities, including machine learning, which enhances its offering beyond just data management.

Features: Teradata excels in handling large data volumes through parallel processing and multi-temperature data management, providing speed and efficiency with advanced query execution and workload management. Oracle Analytics Cloud is known for its data visualization, machine learning integrations, and ease of data manipulation, offering interactive dashboards and the ability to merge varied data types for comprehensive insights.

Room for Improvement: Teradata could improve in cost competitiveness and expand unstructured data capabilities. Scalability in cloud environments and more flexible pricing are needed. Oracle Analytics Cloud could address high costs and complexity, with desires for enhanced visualization options and better user interaction capabilities. Both need to improve cloud functionalities and simplify deployment.

Ease of Deployment and Customer Service: Teradata supports various deployment options like on-premises and hybrid environments, which users find advantageous. Its technical support is generally well-regarded. Oracle Analytics Cloud offers fast deployment in cloud settings but requires skilled personnel due to its complexity, posing a challenge for users seeking simpler solutions.

Pricing and ROI: Teradata is perceived as a high-cost solution delivering substantial returns in analytics capabilities, albeit more suited for larger enterprises. Oracle Analytics Cloud, despite its expense, offers a competitive pricing model appealing for a comprehensive analytics platform. It is considered cost-effective over the long term, though may not suit smaller companies seeking budget-friendly solutions.

To learn more, read our detailed Oracle Analytics Cloud vs. Teradata Report (Updated: November 2025).

Oracle Analytics Cloud vs. Teradata

November 2025

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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

Oracle Analytics Cloud

Ranking in BI (Business Intelligence) Tools

14th

Average Rating

8.0

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Data Visualization (10th)

Teradata

Ranking in BI (Business Intelligence) Tools

11th

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 (16th), Relational Databases Tools (8th), Data Warehouse (3rd), Marketing Management (5th), Cloud Data Warehouse (4th)

Mindshare comparison

As of November 2025, in the BI (Business Intelligence) Tools category, the mindshare of Oracle Analytics Cloud is 1.7%, down from 2.3% compared to the previous year. The mindshare of Teradata is 0.8%, up from 0.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.

BI (Business Intelligence) Tools Market Share Distribution
Product	Market Share (%)
Teradata	0.8%
Oracle Analytics Cloud	1.7%
Other	97.5%

BI (Business Intelligence) Tools

Featured Reviews

Vaclav-Biba

BI/DW Consultant at Neit Consulting

Enhanced analytics through metadata-driven reporting with enterprise-level visualizations enables competitive advantage

In my opinion, what can be better in Oracle Analytics Cloud these days is primarily about pricing. I am from the Czech Republic, which is our main market. The situation here in the Czech Republic is that Power BI rules the world. There are two main reasons for this. First, speaking about the Czech Republic specifically, and second, the Power BI pricing model appears cheaper compared to Oracle Analytics Cloud. The pricing model in Microsoft is more straightforward. With Oracle, you have the data visualization and enterprise lines, and to put it simply, both appear as more expensive options for customers trying to get oriented in the segment.

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Kirk Robinson

Interim and Fractional CIO and CTO at a consultancy with 11-50 employees

Has improved data quality, optimized reporting processes, and enabled predictive insights across business units

The limitation we encountered was related to speed, prompting us to increase our AWS cloud thresholds and benchmarks on the servers, adding more throughput. We have been testing that, but speed remains one of our key issues. The integration has been awesome because of the platforms and their usage, and usability is great. The most challenging aspect is finding Teradata resources, so we are focusing on internal training and looking for more Teradata experts. If Teradata could provide a list of certified experts, that would be fantastic. I rated Teradata a nine because the main area for improvement is the bandwidth of resources that could assist us in applying to our projects, specifically more certified and expert resources. The market share of Teradata professionals is limited, creating an issue for us.

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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 product is easily customized."

"The features that I find to be the most valuable are the BAS (Business Analytics), the Narrate feature, and the auto-visualization."

"The technical support services are good."

"Mobility is the most valuable feature for us. All employees can access it from anywhere. It is a big advantage for us."

"The technical support is excellent, and they respond quickly."

"The most valuable features of the solution are dashboarding and data visualization."

"The ability to quickly search for and access relevant data is crucial."

"Data preparation is fantastic and fast. We were able to use multiple data sources and prepare the data quickly."

More Oracle Analytics Cloud pros

"The key advantages are Performance when processing Terabytes of data and scalability."

"The data mover is valuable over the last two years as it allows us to achieve data replication to our disaster recovery systems."

"Teradata can be deployed on-premise, on the cloud, or in a virtual machine, which means customers can move without having to create their architecture all over again."

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

"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."

"Teradata effectively uses parallelism to the granular level, performing better than other databases."

"Teradata's best feature is its speed with historical data."

"It has a solid set of tools and consulting services."

More Teradata pros

Cons

"The price of the solution could be lower."

"Its FAW feature has limitations in terms of usage."

"When we have, for example, a table with low performance, we have several issues with drawing some graphics in the Oracle cloud."

"As with most BI tools, the visualizations can be made much nicer. Currently, it has standard visualizations. They've been adding new visualizations, but we see animated visualizations from other vendors. It would be nice to have similar visualizations, such as the swarming visualizations, which are fairly new and very popular at the moment. I haven't seen that with Oracle. That would be nice."

"Sharing dataflows is not possible at this time, and the custom chart functionality is not available."

"At this time, dataflows cannot be shared, but I think that this should be enhanced."

"Its machine learning and visualization capabilities can be improved. There should be more visualization options."

"The implementation of generative AI and machine learning should improve"

More Oracle Analytics Cloud cons

"I've been using the same UI for 20 years in Teradata. It could use some updating. Adding more stability around Teradata Studio would be outstanding. Teradata Studio is a Java-based version of their tool. It's much better now, but it still has some room for improvement."

"There are some ways that the handling of unstructured data could be improved."

"Teradata could improve by being less complicated. There are some aspects that are not available on the Unix server and a Unix system is required to access some data, such as in case of an emergency."

"I'm not sure about the unstructured data management capabilities. It could be improved."

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

"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."

"GUI of administrative tools is really outdated."

"The following could be better: licensing, architecture openness, integration with other tools."

More Teradata cons

Pricing and Cost Advice

"The price is reasonable; it's quite a bit lower than Tableau and Spotfire."

"A highly cost-effective solution"

"I would rate it a five out of five in terms of the value received for the price charge."

"I don't know the exact cost, but its pricing was good. Its pricing was competitive. I would rate it a three out of five in terms of pricing."

"The tool's pricing is not unreasonable or non-competitive."

"The product’s pricing is expensive. However, feature-wise, it fits the requirements of enterprise customers."

"It is an expensive platform."

"I rate the product's pricing a nine on a scale of one to ten, where one is cheap, and ten is expensive."

More Oracle Analytics Cloud pricing and cost advice

"I would advise others to look into migration and setup as a fixed price and incorporate a SaaS option for other Teradata services."

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

"It's a very expensive product."

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

"The tool costs about 30,000 euros a month, while Azure Synapse SQL only costs 10,000."

"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."

"Teradata used to be expensive, but they have been lowering their prices."

"Users have to pay a yearly licensing fee for Teradata IntelliFlex, which is very 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…

Read full review

Top Industries

By visitors reading reviews

Government

12%

Computer Software Company

10%

Manufacturing Company

Financial Services Firm

25%

Computer Software Company

Manufacturing Company

Healthcare Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	12
Midsize Enterprise	7
Large Enterprise	11

By reviewers
Company Size	Count
Small Business	26
Midsize Enterprise	12
Large Enterprise	50

Questions from the Community

Which Oracle product is better - OBIEE or Analytics Cloud?

Oracle OBIEE is designed to be relatively easy to set up and has a helpful customer support staff at the ready to assist customers. These are two attributes that make this system quite valuable. OB...

What do you like most about Oracle Analytics Cloud?

The ability to quickly search for and access relevant data is crucial.

What is your experience regarding pricing and costs for Oracle Analytics Cloud?

The pricing of Oracle Analytics Cloud is quite expensive, fitting for a premium tool. However, the cost raises expectations for partner support that are not met, especially for smaller companies wh...

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,...

Microsoft Power BI vs Oracle Analytics Cloud

Comparisons

Compared 15% of the time

Oracle OBIEE vs Oracle Analytics Cloud

Compared 12% of the time

Tableau Enterprise vs Oracle Analytics Cloud

Compared 9% of the time

SAP Analytics Cloud vs Oracle Analytics Cloud

Compared 7% of the time

Databricks vs Oracle Analytics Cloud

Compared 7% of the time

More Oracle Analytics Cloud Competitors

Oracle Exadata vs Teradata

Compared 10% of the time

Snowflake vs Teradata

Compared 7% of the time

IBM Db2 Database vs Teradata

Compared 7% of the time

SQL Server vs Teradata

Compared 6% of the time

OpenText Analytics Database (Vertica) vs Teradata

Compared 5% of the time

More Teradata Competitors

Product Reports

Download Oracle Analytics Cloud product report

Oracle Analytics Cloud

October 2025

Download Teradata product report

October 2025

Also Known As

Oracle Analytics Cloud Service, OAC, Oracle Data Visualization, Oracle Data Visualization Cloud Service, ODV

IntelliFlex, Aster Data Map Reduce, , QueryGrid, Customer Interaction Manager, Digital Marketing Center, Data Mover, Data Stream Architecture, Teradata Vantage Enterprise (DIY)

Overview

Oracle Analytics is a complete platform with ready-to-use services for a wide variety of workloads and data.

Oracle Analytics allows businesses to add AI and machine learning capabilities to any application—and as part of our integrated suite of cloud services to comply with data security and connected without disrupting business operations.

Offering valuable, actionable insights from all types of data—in the cloud, on-premises, or in a hybrid deployment—Oracle Analytics empowers business users, data engineers, and data scientists to access and process relevant data, evaluate predictions, and make quick, accurate decisions.

Oracle Analytics Cloud Features

Oracle Analytics Cloud has many valuable key features. Some of the most useful ones include:

Intelligent search
Smart data discovery
Smart data preparation
Natural language
Auto suggest
Visualization
Dashboarding
Global transformation policies
Smart collaboration
Integrated data science
Enterprise architecture and security
Platform extensibility
Smart data connectors

Oracle Analytics Cloud Benefits

There are many benefits to implementing Oracle Analytics Cloud. Some of the biggest advantages the solution offers include:

Flexibility: Oracle Analytics Cloud gives you the flexibility to grow and change as your business does. At the same time, it puts you in complete control of your analytics environment by allowing you to analyze data and accommodate changing demand easily.

Scalable: Oracle Analytics Cloud is a single, centralized solution that provides everything you need in a scalable environment to support varied user requirements for your organization right now and in the future as well.

Comprehensive analytics: With Oracle Analytics Cloud, existing services are combined with new ones to deliver comprehensive analytics in the cloud. It provides everything you need for analytic agility, from fast, fluid self-service discovery to data loading and blending, inline data prep, data enrichment, automatic visualizations, data storytelling, and more.

Cost-effectiveness: The solution is cost-effective and reduces your total cost of ownership (TCO).
Innovation: Use the latest data analytics technologies, such as AI, machine learning, and natural language processing. Oracle Analytics has been recognized by industry experts for its innovations and robust architecture.

Reviews from Real Users

Below are some reviews and helpful feedback written by PeerSpot users currently using the Oracle Analytics Cloud solution.

Fabricio Q., Data Analytics Manager, says, “The main functionality is great and everything is pretty standard and easy to use. It's great for consolidation and creating one source of truth. The initial setup is pretty straightforward.”

PeerSpot user, Eric B., Independent Consultant - Oracle BI Applications at Desjardins, mentions “It's really an enterprise solution. It has standard dashboarding functionality. It also has reporting capabilities for producing pixel-perfect reports, bursting large volumes of a document if you need to. It has interactive data discovery functionality, which you would use to explore your data, bring your own data, and merge it with maybe the data from an enterprise data warehouse to get new insights from the pre-existing data. It has machine learning embedded in the solution.”

Gaurav S., Vice President Credit Risk Management at a financial services firm, explains, “From a financial or bank perspective, this product is secure enough. The dashboards, analytics, visualizations, and different reports are valuable for business analytics. The AI/ML enablement is useful, as many reporting tools do not offer machine learning models as of now, without writing customized code.”

Another reviewer, Trinh P., Delivery Manager at Sift Ag, comments, "The specific capability I find important in Oracle Analytics Cloud is that it allows the basic user to easily drag and drop data. I also like that the solution allows the user to decide what to measure and what to see in the reports."

Oracle

Teradata is a powerful tool for handling substantial data volumes with its parallel processing architecture, supporting both cloud and on-premise environments efficiently. It offers impressive capabilities for fast query processing, data integration, and real-time reporting, making it suitable for diverse industrial applications.

Known for its robust parallel processing capabilities, Teradata effectively manages large datasets and provides adaptable deployment across cloud and on-premise setups. It enhances performance and scalability with features like advanced query tuning, workload management, and strong security. Users appreciate its ease of use and automation features which support real-time data reporting. The optimizer and intelligent partitioning help improve query speed and efficiency, while multi-temperature data management optimizes data handling.

What are the key features of Teradata?

Parallel Processing Architecture: Enables efficient handling of substantial data volumes.
Cloud and On-Premise Deployment: Offers seamless adaptability across environments.
Query Tuning: Improves speed and performance of data retrieval processes.
Workload Management: Ensures optimal resource allocation for enhanced performance.
Robust Security: Provides high levels of data protection and system integrity.
Data Integration: Facilitates cohesive data management from multiple sources.
Automation for Real-time Reporting: Enhances timely data insights and decision-making.
Optimizer and Intelligent Partitioning: Further increase query speed and system efficiency.
Multi-Temperature Data Management: Optimizes the handling and retrieval of data.

What benefits and ROI do users look for?

Efficient Data Management: Facilitates smooth integration and processing of diverse data sets.
Scalability: Easy adjustment to increasing or decreasing data requirements.
Improved Performance: Fast query speeds and optimized resource use.
Comprehensive Security: Safeguards data integrity and accessibility.
Ease of Use: Simplifies data handling and operational processes.

In the finance, retail, and government sectors, Teradata is employed for data warehousing, business intelligence, and analytical processing. It handles vast datasets for activities like customer behavior modeling and enterprise data integration. Supporting efficient reporting and analytics, Teradata enhances data storage and processing, whether deployed on-premise or on cloud platforms.

Sample Customers

Sejong Hospital

Netflix