Ataccama DQ Analyzer vs Informatica Intelligent Data Management Cloud (IDMC) comparison

The compared Ataccama and Informatica solutions aren't in the same category. Ataccama is ranked #5 in DSS , and holds a 6.6% mindshare in the category. Informatica is ranked #2 in DMPD , with an average rating of 7.8, and holds a 16.3% mindshare. Additionally, 100% of Ataccama users are willing to recommend the solution, compared to 93% of Informatica users who would recommend it.

Ataccama DQ Analyzer

Read 4 Ataccama DQ Analyzer reviews

559 Views
318 Comparison Views

100% willing to recommend

Informatica Intelligent Dat...

Read 181 Informatica Intelligent Data Management Cloud (IDMC) reviews

406 Views
166 Comparison Views

93% willing to recommend

Ataccama DQ Analyzer

Informatica Intelligent Dat...

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Executive Summary

We performed a comparison between Ataccama DQ Analyzer and Informatica Intelligent Data Management Cloud (IDMC) based on real PeerSpot user reviews.

Find out what your peers are saying about Talend, Experian, Kroll-Software and others in Data Scrubbing Software.

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November 2024

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Helped 816,406 peers since 2012

Categories and Ranking

Ataccama DQ Analyzer

Average Rating

7.8

Number of Reviews

Ranking in other categories

Data Scrubbing Software (5th)

Informatica Intelligent Dat...

Average Rating

8.0

Reviews Sentiment

6.9

Number of Reviews

181

Ranking in other categories

Data Integration (3rd), Data Quality (1st), Business Process Management (BPM) (7th), Business-to-Business Middleware (3rd), API Management (7th), Cloud Data Integration (3rd), Data Governance (2nd), Test Data Management (3rd), Cloud Master Data Management (MDM) Solutions (1st), Data Management Platforms (DMP) (2nd), Data Masking (2nd), Metadata Management (1st), Test Data Management Services (4th), Product Information Management (PIM) (1st), Data Observability (2nd)

Mindshare comparison

While both are Data Quality Tools solutions, they serve different purposes. Ataccama DQ Analyzer is designed for Data Scrubbing Software and holds a mindshare of 6.6%, down 13.0% compared to last year.
Informatica Intelligent Data Management Cloud (IDMC), on the other hand, focuses on Data Management Platforms (DMP), holds 16.3% mindshare, up 13.7% since last year.

Data Scrubbing Software

Data Management Platforms (DMP)

Featured Reviews

Chuha Adequatov

Head of Regulatory Reference Data Management Division at Altynalmas JSC

Is easy to deploy and is free, but marketing strategies need improvement

We use Ataccama DQ Analyzer to analyze data migration from one source to another. We use it to clean up the data I like that there is no need to buy a license. You can just download it and use it free. It is also easy to deploy. They could focus more on marketing the product. The current…

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Raj Sethupathi

Data Integration Consultant GCP/AWS at Infogrators Inc

Offers profiling and address standardization but can be complicated

Informatica Data Quality has its data warehouse, primarily using Oracle and some SQL databases. You need a database to host the data. The cleansed version of the data is stored in the data warehouse. It integrates with PowerCenter and other Informatica tools. The integration details can be complex, but a regional setup is involved in this process. Profiling smaller datasets, such as 10,000-50,000 records, worked fine. However, unexpected issues could arise with larger datasets, such as thousands of records or more, especially with tables containing many columns. Handling tables with fifty or more columns can be challenging, even in Excel. A mismatch in data types could cause the entire system to crash. Continual enhancements are being made to address these issues, which can be unique to specific industries like finance and healthcare.

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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

"It is also easy to deploy."

"The data profile itself is excellent. You can understand the quality of the data in layman's terms."

"It is easy to create REST-based interfaces of the master data objects."

"Replication allows us to fully replicate all objects from Shop Floor Data Collection (SFDC) to in-house/on-premises database in one job."

"It provides all the typical MDM capabilities like deduplication and machine survivorship."

"It can automatically connect or associate business terms with various options, providing flexibility beyond general capabilities."

"The solution offers good data governance."

"The most valuable features are data quality, data integrate transformations, match-merge, and a few MDM solutions we build into data quality transformation."

"It comes with lot of features and is a one-stop-shop solution for integration, data modeling, and data governance. Everything can be built under one particular umbrella. If any issues come up, then there won't be any blame game saying that it could be an integration issue or an MDM hub issue because it's wholly owned by Informatica. That's the biggest advantage of Informatica MDM over that of any other tools that are available on the market."

"Data integration is the most valuable feature. The ability to connect to any of the sources and enterprise applications makes our lives easier."

More Informatica Intelligent Data Management Cloud (IDMC) pros

Cons

"Although DQA can fetch data from most of the commonly used data sources, it has limited modifiers to get data, meaning that the number of technologies from which the data can be acquired is limited. For example, DQA does not support fetching data from Twitter or Facebook. Many competitors have this feature."

"They could focus more on marketing the product. The current marketing strategy is not working."

"There could be a lot more application integration."

"Its features for partitioning and optimization could be better."

"The configuration process is pretty lengthy and challenging and could be made easier to understand."

"The GUI needs to be a little more user-friendly and appealing."

"The biggest challenge I see is the IDE's for the cloud and automization are different."

"The on-prem solution is harder to learn than the cloud-based versions."

"There is room for improvement in the support. The response time could be faster."

"The price modeling could be more flexible."

More Informatica Intelligent Data Management Cloud (IDMC) cons

Pricing and Cost Advice

"There is no need to buy a license. You can just download it and use it for free."

"Our customers sometimes are able to negotiate a much better price for Informatica Cloud Data Integration based on their relationship with the vendor."

"The product has a high price point."

"You pay for this solution based on IPUs, Informatica Processing Units. This depends on how much data you process and how much memory you consume from the cloud provider, and you pay as you go."

"The solution's pricing model is easy, but it is very expensive."

"Cost-wise, I think it is on the higher side, and that is why we are looking for some better options. Licensing costs are huge compared to other players in the market and for my company."

"Informatica MDM is very expensive. Apart from licensing fees, they have broken down their products into multiple products, and they charge for each and every product. If the data is huge, they charge for the data. At times, we have to use third party services for data cleaning, and they charge for that as well."

"I have no idea what the price actually is. It is probably not going to be the cheapest, but it is a pretty stable and robust platform from the backend standpoint."

"Informatica MDM's pricetag should come down. They have to cut some costs."

More Informatica Intelligent Data Management Cloud (IDMC) pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

19%

Energy/Utilities Company

16%

Manufacturing Company

13%

Computer Software Company

Financial Services Firm

17%

Computer Software Company

13%

Manufacturing Company

10%

Insurance Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

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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...

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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...

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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 ...

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Comparisons

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Compared 67% of the time

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Compared 19% of the time

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Informatica PowerCenter vs Informatica Intelligent Data Management Cloud (IDMC)

Compared 9% of the time

Azure Data Factory vs Informatica Intelligent Data Management Cloud (IDMC)

Compared 7% of the time

Reltio Cloud vs Informatica Intelligent Data Management Cloud (IDMC)

Compared 5% of the time

AWS Glue vs Informatica Intelligent Data Management Cloud (IDMC)

Compared 4% of the time

Microsoft Purview Data Governance vs Informatica Intelligent Data Management Cloud (IDMC)

Compared 4% of the time

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Product Reports

Buyer's Guide

Data Scrubbing Software

November 2024

Download Ataccama DQ Analyzer product report

Buyer's Guide

Informatica Intelligent Data Management Cloud (IDMC)

November 2024

Informatica Intelligent Data Management Cloud (IDMC) report

Download Informatica Intelligent Data Management Cloud (IDMC) product report

Also Known As

DQ Analyzer

ActiveVOS, Active Endpoints, BPM, Address Verification, Persistent Data Masking, Cloud Test Data Management, PIM, , Enterprise Data Catalog, Data Integration Hub, Cloud Data Integration, Data Quality, Cloud API and App Integration

Learn More

Ataccama

Informatica

Overview

DQ Analyzer (DQA) combines advanced data profiling and analysis capabilities with a point-and-click interface that is simple enough for business managers to use without extensive training.

Informatica Intelligent Data Management Cloud (IDMC) is a robust platform used by banks, financial institutions, and health sector organizations for data management, governance, and compliance.

IDMC provides comprehensive tools for data discovery, profiling, masking, and transformation. It supports Salesforce integration, real-time data streaming, and scalable data management solutions. Health organizations manage national product catalogs while financial entities focus on data protection and regulatory compliance. Its intuitive interface, flexible features, and robust tools make it valuable across sectors, though enhancements in data integration and human workflow are being sought.

What are the most important features?

Data discovery: Facilitates identifying and understanding data sources.
Data profiling: Analyzes old databases for data quality.
Data and platform masking: Ensures data protection.
Salesforce integration: Seamless connectivity with Salesforce.
Mastering data: Centralizing and standardizing data.
UI intuitiveness: User-friendly interface.
Feature map flexibility: Adapts to user needs.
Business glossary creation: Defines business terms.
Data lineage: Tracks data flow and transformations.
Automation: Streamlines data processes.
Enterprise data cataloging: Organizes extensive data assets.
Scalability: Supports expanding data requirements.
Easy setup: Quick deployment process.
Bulk upload: Efficiently handles large data volumes.
Customizable data management: Tailors data solutions.
Real-time data streaming: Manages live data streams.
Integration with Hadoop and NoSQL: Connects with big data platforms.

What benefits and ROI should be considered?

Regulatory compliance: Ensures adherence to regulations.
Data protection: Safeguards sensitive information.
Enhanced data quality: Improves accuracy and reliability.
Centralized data: Consolidates data for better management.
Process automation: Reduces manual tasks and errors.

Banks and financial institutions use IDMC for data masking, transformation, and compliance, while health sector organizations leverage it for national product catalogs. Industry applications focus on automating business processes, centralizing data, and managing data catalogs to meet regulatory demands and ensure data protection.

Sample Customers

University of Arizona

The Travel Company, Carbonite

Buyer's Guide

Data Scrubbing Software

November 2024

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