Informatica Enterprise Data Lake vs Teradata comparison

Informatica Enterprise Data...

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Executive SummaryUpdated on Sep 30, 2025

Teradata and Informatica Enterprise Data Lake compete in big data analytics. Informatica holds an advantage due to its advanced features and data integration capabilities.

Features: Teradata offers scalable architecture, real-time analytics, and ease in managing complex queries, supporting high-performance data warehousing. Informatica provides extensive data integration, metadata management, and advanced data preparation tools, enhancing complex data manipulation tasks. Its concentration on data lake management and integration stands out.

Ease of Deployment and Customer Service: Informatica Enterprise Data Lake supports flexible deployment models with strong cloud integration, catering to diverse needs. Teradata, traditionally on-premise, provides cloud solutions with notable support. Informatica's deployment flexibility and integration appeal to clients, especially for cloud-based needs.

Pricing and ROI: Teradata offers a cost-effective pricing structure, leading to quick ROI through efficient data management. Informatica, despite higher initial costs, delivers significant ROI via its advanced data capabilities and integration, attracting organizations needing comprehensive data management.

To learn more, read our detailed Informatica Enterprise Data Lake vs. Teradata Report (Updated: October 2025).

Informatica Enterprise Data Lake vs. Teradata

October 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

Informatica Enterprise Data...

Ranking in Data Integration

39th

Average Rating

8.0

Reviews Sentiment

6.1

Number of Reviews

Ranking in other categories

No ranking in other categories

Teradata

Ranking in Data Integration

17th

Average Rating

8.2

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Customer Experience Management (6th), Backup and Recovery (21st), Relational Databases Tools (8th), Data Warehouse (3rd), BI (Business Intelligence) Tools (13th), Marketing Management (5th), Cloud Data Warehouse (4th)

Mindshare comparison

As of October 2025, in the Data Integration category, the mindshare of Informatica Enterprise Data Lake is 0.4%, up from 0.2% compared to the previous year. The mindshare of Teradata is 0.8%, up from 0.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration Market Share Distribution
Product	Market Share (%)
Teradata	0.8%
Informatica Enterprise Data Lake	0.4%
Other	98.8%

Data Integration

Featured Reviews

Santanu Bhattacharya

Technical manager at Cognizant

Have built an enterprise-level cloud data pipeline with reliable governance and integration

People use Informatica Enterprise Data Lake because we can create the whole journey from data migration projects from the legacy system to AWS and to the Lake architecture, covering the entire journey from the source to the landing zone, then to the curated zone, and finally consumed by both downstream and upstream applications. The main benefit of Informatica Enterprise Data Lake is that it allows you to use different types of data types, including blobs and storage; all types of data—structured, unstructured, and semi-structured—can exist in the Data Lake architecture, making it robust for retrieving data based on your filtration needs. Its value is actually governed by the client, who combined with our company and AWS, so we all work together to use the workspace and all these things for Informatica Enterprise Data Lake.

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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 process of using the tool's scalability option is well documented."

"Cuts time to process huge amounts of data with efficient analytical queries."

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

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

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

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

"Teradata can be easily used in ETL mode transformations, so there is no need for expensive and inconvenient ETL tools"

"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."

More Teradata pros

Cons

"Informatica Enterprise Data Lake's setup process was complex since it doesn't support a lot of real-time systems."

"It could use some more advanced analytics relating to structured and semi-structured data."

"The solution needs improvement in its stability, support and pricing."

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

"Teradata's UI could be improved."

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

"Teradata should focus on functionality for building predictive models because, in that regard, it can definitely improve."

"They should add more connectors to different platforms."

"The solution could improve by having a cloud version or a cloud component. We have to use other solutions, such as Amazon AWS, Microsoft Azure, or Snowflake for the cloud."

More Teradata cons

Pricing and Cost Advice

"The licenses attached to the solution are highly priced."

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

"In this day and age, we want to get things done quickly. So, we go to the AWS Marketplace."

"We are looking for a more flexible cost model for the next version that we use, whether it be cloud or on-premise."

"Teradata's licensing is on the expensive side."

"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."

"The product cost is high for what the client gets. There may be more cost-effective solutions for small and medium-sized organizations."

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

"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."

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

No data available

Financial Services Firm

25%

Computer Software Company

Manufacturing Company

Healthcare Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	26
Midsize Enterprise	12
Large Enterprise	49

Questions from the Community

What do you like most about Informatica Enterprise Data Lake?

The process of using the tool's scalability option is well documented.

What is your experience regarding pricing and costs for Informatica Enterprise Data Lake?

Informatica Enterprise Data Lake's cost is higher, but it provides good value for the price. It comes at a reasonable price, which I would rate at eight out of ten.

What needs improvement with Informatica Enterprise Data Lake?

Improvement depends upon how we can faster showcase our data in our reports, whether in Power BI, Tableau, or other formats. Improving the speed of data showcasing and filtration would be better, a...

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,...

SSIS vs Informatica Enterprise Data Lake

Comparisons

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Informatica Intelligent Data Management Cloud (IDMC) vs Informatica Enterprise Data Lake

Compared 50% of the time

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Oracle Exadata vs Teradata

Compared 11% of the time

IBM Db2 Database vs Teradata

Compared 7% of the time

Snowflake vs Teradata

Compared 7% of the time

SQL Server vs Teradata

Compared 7% of the time

OpenText Analytics Database (Vertica) vs Teradata

Compared 6% of the time

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Product Reports

Download Informatica Enterprise Data Lake product report

Data Integration

September 2025

Download Teradata product report

September 2025

Also Known As

Informatica Intelligent Data Lake, Intelligent Data Lake

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

Overview

The Intelligent Data Lake enables raw big data to be systematically transformed into fit-for-purpose data sets for a variety of data consumers. Data scientists and analysts can quickly find the data they’re looking for using semantic and faceted search. They can see data profiles, lineage, and other relationships to know whether they can trust the data and whether it’s fit-for-use in their analytic projects.

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

Information Not Available

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