Informatica Intelligent Data Management Cloud (IDMC) vs Teradata comparison

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Executive SummaryUpdated on Dec 11, 2025

Teradata and Informatica IDMC are leading tools in data management, each excelling in different areas. Teradata may have an edge in scalability and performance for large enterprises, while Informatica IDMC is preferred for its integration versatility across varied environments.

Features: Teradata is praised for its parallel architecture, enabling swift data processing and making it suitable for extensive analytics and enterprise-level data warehousing. Its security features and adaptability across different data architectures stand out. Informatica IDMC offers holistic data management, covering master data management, data quality, and governance, with seamless integration across various platforms, earning accolades for its comprehensive toolset and user-friendliness.

Room for Improvement: Teradata requires better support for cloud integration and a more competitive pricing structure, with desires for improved unstructured data handling and enhanced user training. Informatica IDMC users call for improvements in user interface, support for real-time operations, and enhanced integration capabilities. Both solutions need a lower cost of entry and use.

Ease of Deployment and Customer Service: Teradata's robust support is highlighted by responsive technical assistance and comprehensive training resources, though delayed response times have been noted. Informatica IDMC's support is viewed positively but is critiqued for complex setup processes and a steep learning curve. Its deployment flexibility across cloud environments adds significant value despite some customer service efficiency variability.

Pricing and ROI: Teradata justifies its premium pricing with high ROI through reliable analytics capabilities and reduced staffing needs. Informatica IDMC has a steep cost, with a pricing model based on data and resource usage. Users feel its extensive feature set and integration ease render it effective for those ready for its financial implications.

To learn more, read our detailed Informatica Intelligent Data Management Cloud (IDMC) vs. Teradata Report (Updated: December 2025).

Informatica Intelligent Data Management Cloud (IDMC) vs. Teradata

December 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:

ROI

Sentiment score

7.1

Informatica's cloud platform enhances data management efficiency, cost savings, and data security, requiring effective change management for optimal results.

Sentiment score

6.9

Teradata significantly boosts speed, efficiency, and ROI, with studies showing a 427% average ROI over three years.

Leadership prefers to utilize third-party tools, such as Snowflake, which has both storage and ELT features.

For more quotes and insights, download the Informatica Intelligent Data Management Cloud (IDMC) report

Sr. Consultant cum Assistant Manager & Offshore Lead at Deloitte

The stability and performance remain issues.

reviewer946383

consultant at a energy/utilities company with 5,001-10,000 employees

Compared to Collibra Catalog, where the value is noticeable within six months.

reviewer2696502

Data and Analytics Manager at a insurance company with 10,001+ employees

At least fifteen to twenty percent of our time has been saved using Teradata, which has positively affected team productivity and business outcomes.

Shugoyal Shugoyal

Senior product analyst at a financial services firm with 10,001+ employees

Independent research showed that Teradata VantageCloud users achieved an average ROI of 427% across three years with payback under a year, demonstrating the platform's ability to deliver a strong financial return.

Engineers at a consultancy with 11-50 employees

We have realized a return on investment, with a reduction of staff from 27 to eight, and our current return on investment is approximately 14%.

For more quotes and insights, download the Teradata report

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

Customer Service

Sentiment score

6.9

Informatica's customer service is generally rated positively for quick, knowledgeable support, though some report occasional delays and inconsistencies.

Sentiment score

7.1

Teradata's support is praised for professionalism and responsiveness, but feedback on speed is mixed; training resources enhance service.

Due to the tool's maturity limitations, solutions are not always simple and often require workarounds.

Consulting Principal & Founder at Digital Data Consultancy

Even after going out of service support, they still reached back to me whenever I raised tickets.

IT Manager - Data Quality and Migration at a manufacturing company with 10,001+ employees

We expect more responsive assistance because they have the expertise since Informatica is their tool, but I don't see enough expertise on the Informatica support side.

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Sr. Consultant cum Assistant Manager & Offshore Lead at Deloitte

The customer support for Teradata has been great.

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

They are responsive and knowledgeable, and the documentation is very helpful.

Engineers at a consultancy with 11-50 employees

Customer support is very good, rated eight out of ten under our essential agreement.

For more quotes and insights, download the Teradata report

Team Leader for Data Base Administrators at a government with 1,001-5,000 employees

Scalability Issues

Sentiment score

7.3

Informatica Intelligent Data Management Cloud is praised for scalability and flexibility in handling large datasets, despite pricing concerns.

Sentiment score

7.5

Teradata offers scalable cloud and on-premise solutions with strong adaptability, overcoming hardware limitations and cost challenges efficiently.

I have used the product over multiple systems and was able to write reports for large data sets without any performance issues.

IT Manager - Data Quality and Migration at a manufacturing company with 10,001+ employees

As a SaaS platform, IDMC is quite scalable and provides complete flexibility.

Consulting Principal & Founder at Digital Data Consultancy

There are many options available, and the licensing model is quite good, supporting our needs effectively.

For more quotes and insights, download the Informatica Intelligent Data Management Cloud (IDMC) report

Data Integration Architect at Endeavour Foundation

Whenever we need more resources, we can add that in Teradata, and when not needed, we can scale it down as well.

Shugoyal Shugoyal

Senior product analyst at a financial services firm with 10,001+ employees

This flexibility allows organizations to scale according to their needs, balancing performance, cost, and compliance requirements.

For more quotes and insights, download the Teradata report

Engineers at a consultancy with 11-50 employees

This expansion can occur without incurring downtime or taking systems offline.

RajeshKumar25

Principal Consultant & Director at Quensulting

Stability Issues

Sentiment score

7.7

Users generally find IDMC stable, with occasional challenges after updates, especially in older versions or specific integrations.

Sentiment score

8.3

Teradata's robust architecture ensures exceptional stability and reliability, with minimal downtime and high user ratings despite some integration challenges.

Stability is crucial because IDMC holds business-critical data, and it needs to be available all the time for business users.

Consulting Principal & Founder at Digital Data Consultancy

There are substantial stability issues with Informatica Cloud Data Quality on the cloud.

reviewer946383

consultant at a energy/utilities company with 5,001-10,000 employees

I find the stability to be good, with occasional restarts required every two to three months due to glitches.

For more quotes and insights, download the Informatica Intelligent Data Management Cloud (IDMC) report

IT Manager - Data Quality and Migration at a manufacturing company with 10,001+ employees

Its massively parallel process architecture allows the platform to distribute workload efficiently, enabling organizations to run heavy analytic queries without compromising speed or stability.

Engineers at a consultancy with 11-50 employees

I find the stability to be almost a ten out of ten.

For more quotes and insights, download the Teradata report

Team Leader for Data Base Administrators at a government with 1,001-5,000 employees

The workload management and software maturity provide a reliable system.

RajeshKumar25

Principal Consultant & Director at Quensulting

Room For Improvement

Informatica IDMC needs UI improvements, better connectivity, streamlined configuration, cheaper pricing, and enhanced support with AI integration.

Teradata requires improvements in transaction processing, scalability, UI, cost-effectiveness, analytics features, integration capabilities, and security measures.

The tool needs to mature in terms of category-specific attributes or dynamic attributes.

Consulting Principal & Founder at Digital Data Consultancy

The current solution requires code-writing and tweaking, while other solutions offer material-level matches.

IT Manager - Data Quality and Migration at a manufacturing company with 10,001+ employees

If the development interface could be optimized to have fewer modules, it would be greatly beneficial.

For more quotes and insights, download the Informatica Intelligent Data Management Cloud (IDMC) report

Data Integration Architect at Endeavour Foundation

I want to highlight two features for improvement: first, storing data in various formats without requiring a tabular structure, accommodating unstructured data; and second, adding AI ML features to better integrate Gen AI, LLM concepts, and user-friendly experiences such as text-to-SQL capabilities.

Ganesh Verma

Data Engineer at Tredence Inc.

Unlike SQL and Oracle, which have in-built replication capabilities, we don't have similar functionality with Teradata.

Team Leader for Data Base Administrators at a government with 1,001-5,000 employees

The most challenging aspect is finding Teradata resources, so we are focusing on internal training and looking for more Teradata experts.

For more quotes and insights, download the Teradata report

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

Setup Cost

Informatica IDMC provides a robust but expensive pricing model with complex licensing and potential negotiation discounts for enterprises.

Teradata offers high-value analytics with flexible pricing, excelling in performance and ROI, ideal for large enterprises and data-intensive sectors.

It ranges from a quarter million to a couple of million a year.

Consulting Principal & Founder at Digital Data Consultancy

Informatica Intelligent Cloud Services is affordable for my specific use cases, with the pricing being rated three or four on a scale where one is very cheap.

Data Integration Architect at Endeavour Foundation

Regarding pricing, compared to other tools I have worked with, Informatica offers competitive pricing, which I find not high in terms of starting strategy.

For more quotes and insights, download the Informatica Intelligent Data Management Cloud (IDMC) report

Sr. Consultant cum Assistant Manager & Offshore Lead at Deloitte

Teradata is much more expensive than SQL, which is well-performed and cheaper.

Team Leader for Data Base Administrators at a government with 1,001-5,000 employees

Initially, it may seem expensive compared to similar cloud databases, however, it offers significant value in performance, stability, and overall output once in use.

RajeshKumar25

Principal Consultant & Director at Quensulting

Role-based access control (RBAC), strong audit and compliance features, high availability, fault tolerance, and encrypted data at rest and in-transit are key features.

For more quotes and insights, download the Teradata report

Engineers at a consultancy with 11-50 employees

Valuable Features

Informatica IDMC offers seamless data integration, AI-enhanced features, and efficient governance, enhancing user experience and operational efficiency.

Teradata excels in parallel processing, scalability, and performance, offering robust data management, security, and integration for efficient data warehousing.

The platform's ability to pull in data from other platforms without the need for an additional integration tool enhances its appeal.

Consulting Principal & Founder at Digital Data Consultancy

The connectors serve as the main functionality, making data integration processes more efficient by saving time and effort.

For more quotes and insights, download the Informatica Intelligent Data Management Cloud (IDMC) report

Data Integration Architect at Endeavour Foundation

We could run data quality rules as part of Service Bus, which ensured the integrity of customer information before it was entered into our database.

reviewer2696502

Data and Analytics Manager at a insurance company with 10,001+ employees

Teradata's security helps our organization meet compliance requirements such as GDPR and IFRS, and it is particularly essential for revenue contracting or revenue recognition.

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

Its architecture allows information to be processed efficiently while maintaining stable performance, even in highly demanding environments.

For more quotes and insights, download the Teradata report

Engineers at a consultancy with 11-50 employees

It facilitates data integration, where we integrate and analyze data from various sources, making it a powerful and high-quality reliable solution for the company.

reviewer2783274

Senior Data Engineer at a media company with 1,001-5,000 employees

Categories and Ranking

Informatica Intelligent Dat...

Ranking in Data Integration

2nd

Average Rating

8.0

Reviews Sentiment

6.8

Number of Reviews

214

Ranking in other categories

Data Quality (1st), Business Process Management (BPM) (7th), Business-to-Business Middleware (3rd), API Management (6th), Cloud Data Integration (3rd), Data Governance (3rd), Test Data Management (3rd), Cloud Master Data Management (MDM) (1st), Data Management Platforms (DMP) (2nd), Data Masking (1st), Metadata Management (1st), Integration Platform as a Service (iPaaS) (3rd), Test Data Management Services (3rd), Product Information Management (PIM) (1st), Data Observability (1st), AI Data Analysis (1st)

Teradata

Ranking in Data Integration

15th

Average Rating

8.2

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

Customer Experience Management (6th), Backup and Recovery (15th), Relational Databases Tools (6th), Data Warehouse (3rd), BI (Business Intelligence) Tools (8th), Marketing Management (5th), Cloud Data Warehouse (3rd), Database Management Systems (DBMS) (3rd)

Mindshare comparison

As of January 2026, in the Data Integration category, the mindshare of Informatica Intelligent Data Management Cloud (IDMC) is 3.7%, down from 5.5% compared to the previous year. The mindshare of Teradata is 0.9%, up from 0.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration Market Share Distribution
Product	Market Share (%)
Informatica Intelligent Data Management Cloud (IDMC)	3.7%
Teradata	0.9%
Other	95.4%

Data Integration

Featured Reviews

Handles large data volumes effectively and offers competitive pricing

Sr. Consultant cum Assistant Manager & Offshore Lead at Deloitte

There is a lot of improvement required, as we still face some cache issues most of the time, which is a challenge that we expect to see resolved in the future. Additionally, there is some limitation when we are working with a tool, especially regarding In and Out parameters, and I feel that this aspect should be improved going ahead. We face issues with the API side, as Cloud Application Integration cannot handle large volumes; according to the API page, there is a limitation of 500 records or 500 MB. The AI integrated into the Informatica Intelligent Cloud Services solution is called Application Integration, where we still face challenges when dealing with huge volumes, as previously explained.

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Delivers consistent performance and enables advanced analytics across complex data environments

Engineers at a consultancy with 11-50 employees

Teradata stands out as a solid platform for managing and analyzing large volumes of data. Its architecture allows information to be processed efficiently while maintaining stable performance, even in highly demanding environments. One of its most notable strengths is the ability to run complex queries at high speed, which is essential for organizations that require timely and reliable analytics. Teradata offers a well-integrated ecosystem that supports working with different types of data and enables scalability as organizational needs grow. Its focus on advanced analytics, integration with modern business intelligence tools, and the ability to operate both on-premise and in the cloud make it a versatile solution for data warehousing and large-scale processing. Teradata's stability, technological maturity, and the availability of strong documentation and best practices are noteworthy. I consider Teradata to be a tool with great potential for any organization looking to enhance its analytical capabilities, optimize data processing, and move toward more data-driven decision-making. Teradata stands out as a solid platform for managing a large volume of data in different projects. Its architecture allows information to be processed efficiently while maintaining stable performance, even in high-demanding environments. A well-integrated AI ecosystem that supports working with different types of data and enables scalability as organizational needs grow across different kinds of enterprises or organizations. The focus on advanced analytics integration with modern business intelligence tools is particularly valuable. Teradata combines a powerful parallel process and optimizing SQL engine with a highly scalable architecture allowing businesses to execute complex queries and analytics in real-time. It supports multi-cloud, hybrid, and on-premise environments, giving organizations flexibility to choose the setup that best aligns with their strategy. One of the biggest strengths is the ability to unify disparate data sources and support high concurrency, enabling different teams, such as analytics, operations, BI, and data science, to access consistent, trusted data across the enterprise.

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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

14%

Manufacturing Company

11%

Computer Software Company

Retailer

Financial Services Firm

24%

Manufacturing Company

Computer Software Company

Government

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	51
Midsize Enterprise	27
Large Enterprise	153

By reviewers
Company Size	Count
Small Business	28
Midsize Enterprise	13
Large Enterprise	52

Questions from the Community

How does Azure Data Factory compare with Informatica Cloud Data Integration?

Azure Data Factory is a solid product offering many transformation functions; It has pre-load and post-load transformations, allowing users to apply transformations either in code by using Power Q...

Which Informatica product would you choose - PowerCenter or Cloud Data Integration?

Complex transformations can easily be achieved using PowerCenter, which has all the features and tools to establish a real data governance strategy. Additionally, PowerCenter is able to manage huge...

What are the biggest benefits of using Informatica Cloud Data Integration?

When it comes to cloud data integration, this solution can provide you with multiple benefits, including: Overhead reduction by integrating data on any cloud in various ways Effective integration ...

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,...

Collibra Platform vs Informatica Intelligent Data Management Cloud (IDMC)

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Compared 7% of the time

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Compared 6% of the time

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Product Reports

Informatica Intelligent Data Management Cloud (IDMC)

January 2026

Informatica Intelligent Data Management Cloud (IDMC) report

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January 2026

Also Known As

ActiveVOS, Active Endpoints, Address Verification, Persistent Data Masking

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

Overview

Informatica Intelligent Data Management Cloud (IDMC) offers seamless integration of master data management, data quality, and data integration with a cloud-native architecture supporting multiple data management styles, optimizing data governance through metadata management.

IDMC enhances data synchronization and mapping tasks, utilizing a broad range of connectors to interact efficiently with data sources. Its precise address validation via AddressDoctor and intuitive navigation bolster user empowerment, delivering agility, scalability, and security in data governance. Despite its strengths, areas like ease of use, SAP integration, and reporting could benefit from enhancements. Connectivity issues and workflow complexities are noted, needing improvements in performance, support, and licensing cost. Users demand expanded ETL capabilities, real-time processing, and broader data source support to address growing data needs.

What are the key features of IDMC?

Integration Capabilities: Ensures seamless connectivity between on-premise and cloud environments.
Master Data Management: Centralizes and streamlines data processes for enhanced quality.
Data Quality: Employs tools for cleansing and standardizing data accuracy.
Address Validation: Features AddressDoctor for precise address verification.
Real-Time Processing: Supports real-time data handling for critical operations.
Connectivity Options: Offers a wide array of connectors for easy data source interaction.

What benefits and ROI should users consider?

Scalability: Cloud-native design boosts system agility, adapting to data volume changes.
Security: Enhances data protection with robust encryption and compliance measures.
Efficiency: Automates processes to reduce manual effort and errors.
Flexibility: Supports diverse data management styles, offering adaptability to business changes.
Governance: Empowers effective data governance through comprehensive metadata management.

In industries such as banking, healthcare, and telecom, IDMC is implemented for data integration, cloud migration, and enhancing data quality. Its capabilities are crucial for metadata management, lineage tracking, and real-time processing, ensuring high data quality and streamlined operations.

Informatica

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

The Travel Company, Carbonite

Netflix