Informatica Intelligent Data Management Cloud (IDMC) vs Pentaho Data Integration and Analytics comparison

Informatica and Hitachi Vantara are both solutions in the Data Integration category. Informatica is ranked #3 with an average rating of 7.8, while Hitachi Vantara is ranked #24 with an average rating of 7.6. Additionally, 93% of Informatica users are willing to recommend the solution, compared to 94% of Hitachi Vantara users who would recommend it.

Informatica Intelligent Dat...

Read 181 Informatica Intelligent Data Management Cloud (IDMC) reviews

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93% willing to recommend

Pentaho Data Integration an...

Read 52 Pentaho Data Integration and Analytics reviews

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1,080 Comparison Views

94% willing to recommend

Informatica Intelligent Dat...

Pentaho Data Integration an...

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Executive SummaryUpdated on Dec 19, 2024

Pentaho Data Integration and Analytics and Informatica Intelligent Data Management Cloud (IDMC) compete in the data integration and analytics category. Informatica seems to have the upper hand due to its comprehensive features and capabilities in handling complex data integration and data governance.

Features: Pentaho offers a robust set of features such as ease of deployment, strong support for various data formats, and an intuitive graphical interface, with drag-and-drop functionality for easy learning. It supports big data technologies like Hadoop. Informatica IDMC is known for its extensive data integration capabilities, automation abilities, and handling complex integrations and data governance effectively.

Room for Improvement: Pentaho users report a need for enhanced performance with large datasets, better documentation, and improved logging capabilities. Backward compatibility and a more intuitive user interface are also noted as areas for improvement. Informatica IDMC faces criticism for its user interface and high pricing, with suggested improvements in stability, data integration, and support for more connectors.

Ease of Deployment and Customer Service: Pentaho provides both on-premises and cloud deployment models, with ease of integration as a notable feature. However, limited technical support is available for the community edition, with better support in the enterprise edition. Informatica IDMC supports on-premises, hybrid, and cloud environments, but its pricing and customer service are often described as less accessible, with robust yet costly technical support.

Pricing and ROI: Pentaho’s Community Edition is free, making it attractive for budget-conscious users, while the enterprise edition is priced competitively, offering significant ROI through reduced ETL development times. Informatica, being a premium product, has a pricing structure reflecting its comprehensive capabilities, with a high initial investment but value found in its extended features for efficiency and cost-effectiveness in large-scale projects.

To learn more, read our detailed Informatica Intelligent Data Management Cloud (IDMC) vs. Pentaho Data Integration and Analytics Report (Updated: November 2024).

Buyer's Guide

Informatica Intelligent Data Management Cloud (IDMC) vs. Pentaho Data Integration and Analytics

November 2024

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Categories and Ranking

Informatica Intelligent Dat...

Ranking in Data Integration

3rd

Average Rating

8.0

Reviews Sentiment

6.8

Number of Reviews

181

Ranking in other categories

Data Quality (1st), Business Process Management (BPM) (6th), 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)

Pentaho Data Integration an...

Ranking in Data Integration

24th

Average Rating

8.0

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

No ranking in other categories

Featured Reviews

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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Ryan Ferdon

Senior Data Engineer at Burgiss

Low-code makes development faster than with Python, but there were caching issues

If you're working with a larger data set, I'm not so sure it would be the best solution. The larger things got the slower it was. It was kind of buggy sometimes. And when we ran the flow, it didn't go from a perceived start to end, node by node. Everything kicked off at once. That meant there were times when it would get ahead of itself and a job would fail. That was not because the job was wrong, but because Pentaho decided to go at everything at once, and something would process before it was supposed to. There were nodes you could add to make sure that, before this node kicks off, all these others have processed, but it was a bit tedious. There were also caching issues, and we had to write code to clear the cache every time we opened the program, because the cache would fill up and it wouldn't run. I don't know how hard that would be for them to fix, or if it was fixed in version 10. Also, the UI is a bit outdated, but I'm more of a fan of function over how something looks. One other thing that would have helped with Pentaho was documentation and support on the internet: how to do things, how to set up. I think there are some sites on how to install it, and Pentaho does have a help repository, but it wasn't always the most useful.

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

"The solution scales well."

"I am impressed by the solution's interface."

"Informatica Cloud Data Integration is stable."

"Informatica MDM has data quality, mastering the data's capability."

"The Provisioning tool is something that is really handy for everyone. It is my pick as the best feature."

"The product improves data quality."

"In the latest version, I like the outlay of the business roles creation. I like seeing that visualization as you're building it, as opposed to going through metatables or XML mappings. We liked that piece, and it makes it more intuitive for the business."

More Informatica Intelligent Data Management Cloud (IDMC) pros

"Pentaho Data Integration is easy to use, especially when transforming data."

"Provides a good open source option."

"We use Lumada’s ability to develop and deploy data pipeline templates once and reuse them. This is very important. When the entire pipeline is automated, we do not have any issues in respect to deployment of code or with code working in one environment but not working in another environment. We have saved a lot of time and effort from that perspective because it is easy to build ETL pipelines."

"It's very simple compared to other products out there."

"One of the valuable features is the ability to use PL/SQL statements inside the data transformations and jobs."

"The way it has improved our product is by giving our users the ability to do ad hoc reports, which is very important to our users. We can do predictive analysis on trends coming in for contracts, which is what our product does. The product helps users decide which way to go based on the predictive analysis done by Pentaho. Pentaho is not doing predictions, but reporting on the predictions that our product is doing. This is a big part of our product."

"Sometimes, it took a whole team about two weeks to get all the data to prepare and present it. After the optimization of the data, it took about one to two hours to do the whole process. Therefore, it has helped a lot when you talk about money, because it doesn't take a whole team to do it, just one person to do one project at a time and run it when you want to run it. So, it has helped a lot on that side."

"We can schedule job execution in the BA Server, which is the front-end product we're using right now. That scheduling interface is nice."

More Pentaho Data Integration and Analytics pros

Cons

"Most of the new features added by Informatica are through Elastic Mapping. It would be helpful to have features like multithreading or partitioning for Salesforce to enhance performance."

"The initial setup was not very straightforward. Not complex, but not very simple either."

"The cost of Informatica MDM is expensive and has room for improvement."

"There's no direct way to connect to Amazon APIs from Informatica Cloud."

"From multiple masters that are there in Informatica MDM, we can improve the financials."

"There is room for improvement at the highest level in terms of useability and connectors for various types of new applications. The row processing performance could be better because you experience some latency dealing with high volumes of data. Most organizations will be dealing with multiple cloud applications, so you could see performance issues moving from one system to another."

"We would like to have accessibility to the repository."

"Needs to implement the new workflow with simple steps and a quick visualization with a 360 view of the data."

More Informatica Intelligent Data Management Cloud (IDMC) cons

"In the Community edition, it would be nice to have more modules that allow you to code directly within the application. It could have R or Python completely integrated into it, but this could also be because I'm using an older version."

"The performance could be improved. If they could have analytics perform well on large volumes, that would be a big deal for our products."

"Since Hitachi took over, I don't feel that the documentation is as good within the solution. It used to have very good help built right in."

"As far as I remember, not all connectors worked very well. They can add more connectors and more drivers to the process to integrate with more flows."

"If you're working with a larger data set, I'm not so sure it would be the best solution. The larger things got the slower it was."

"I work with different databases. I would like to work with more connectors to new databases, e.g., DynamoDB and MariaDB, and new cloud solutions, e.g., AWS, Azure, and GCP. If they had these connectors, that would be great. They could improve by building new connectors. If you have native connections to different databases, then you can make instructions more efficient and in a more natural way. You don't have to write any scripts to use that connector."

"The web interface is rusty, and the biggest problem with Pentaho is debugging and troubleshooting. It isn't easy to build the pipeline incrementally. At least in our case, it's hard to find a way to execute step by step in the debugging mode."

"Some of the scheduling features about Lumada drive me buggy. The one issue that always drives me up the wall is when Daylight Savings Time changes. It doesn't take that into account elegantly. Every time it changes, I have to do something. It's not a big deal, but it's annoying."

More Pentaho Data Integration and Analytics cons

Pricing and Cost Advice

"You can purchase licenses for this solution at different intervals. For example, annually or every three years. They recently changed their terms for licensing and now it is more flexible."

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

"Pricing is determined by the number of licensed users as well as the number of Core CPUs."

"On a scale from one to ten, where one is cheap and ten is expensive, I rate the solution's pricing nine and a half out of ten."

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

"I'm not sure about the most recent pricing trends, but I don't believe it's significantly different from PowerCenter. I believe it is nearly the same."

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

"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."

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

"I think Lumada's price is fair compared to some of the others, like BusinessObjects, which is was the other thing that I used at my previous job. BusinessObject's price was more reasonable before SAP acquired it. They jacked the price up significantly. Oracle's OBIEE tool was also prohibitively expensive."

"The pricing has been pretty good. I'm used to using everything open-source or freeware-based. I understand that organizations need to make sure that the solutions are secure, and that's basically where I hit a roadblock in my current organization. They needed to ensure that we had a license and we had a secure way of accessing it so that no outside parties could get access to our data, but in terms of pricing, considering how much other teams are spending on cloud solutions or even their existing solutions, its price point is pretty good. At this time, there are no additional costs. We just have the licensing fees."

"For most development tasks, the Enterprise edition should be sufficient. It depends on the type of support that you require for your production environment."

"I believe the pricing of the solution is more affordable than the competitors"

"You need to go through the paid version to have Hitachi Lumada specialized support. However, if you are using the free version, then you will have only the community support. You will depend on the releases from Hitachi to solve some problem or questions that you have, such as bug fixes. You will need to wait for the newest versions or releases to solve these types of problems."

"The cost of these types of solutions are expensive. So, we really appreciate what we get for our money. Though, we don't think of the solution as a top-of-the-line solution or anything like that."

"It does seem a bit expensive compared to the serverless product offering. Tools, such as Server Integration Services, are "almost" free with a database engine. It is comparable to products like Alteryx, which is also very expensive."

"We are using the Community Edition. We have been trying to use and sell the Enterprise version, but that hasn't been possible due to the budget required for it."

More Pentaho Data Integration and Analytics pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

17%

Computer Software Company

12%

Manufacturing Company

10%

Government

Financial Services Firm

23%

Computer Software Company

15%

Government

Comms Service Provider

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

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...

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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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Which ETL tool would you recommend to populate data from OLTP to OLAP?

Hi Rajneesh, yes here is the feature comparison between the community and enterprise edition : https://www.hitachivantara.com/en-us/pdf/brochure/leverage-open-source-benefits-with-assurance-of-hita...

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What do you think can be improved with Hitachi Lumada Data Integrations?

In my opinion, the reporting side of this tool needs serious improvements. In my previous company, we worked with Hitachi Lumada Data Integration and while it does a good job for what it’s worth, ...

See all answers

What do you use Hitachi Lumada Data Integrations for most frequently?

My company has used this product to transform data from databases, CSV files, and flat files. It really does a good job. We were most satisfied with the results in terms of how many people could us...

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Comparisons

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Compared 8% 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

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

Compared 4% of the time

AWS Glue vs Informatica Intelligent Data Management Cloud (IDMC)

Compared 4% of the time

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Compared 15% of the time

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Compared 14% of the time

Talend Open Studio vs Pentaho Data Integration and Analytics

Compared 10% of the time

Azure Data Factory vs Pentaho Data Integration and Analytics

Compared 10% of the time

Informatica PowerCenter vs Pentaho Data Integration and Analytics

Compared 7% of the time

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Product Reports

Buyer's Guide

Informatica Intelligent Data Management Cloud (IDMC)

December 2024

Informatica Intelligent Data Management Cloud (IDMC) report

Download Informatica Intelligent Data Management Cloud (IDMC) product report

Buyer's Guide

Pentaho Data Integration and Analytics

December 2024

Pentaho Data Integration and Analytics report

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Also Known As

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

Hitachi Lumada Data Integration, Kettle, Pentaho Data Integration

Learn More

Informatica

Hitachi Vantara

Overview

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.

Pentaho Data Integration stands as a versatile platform designed to cater to the data integration and analytics needs of organizations, regardless of their size. This powerful solution is the go-to choice for businesses seeking to seamlessly integrate data from diverse sources, including databases, files, and applications. Pentaho Data Integration facilitates the essential tasks of cleaning and transforming data, ensuring it's primed for meaningful analysis. With a wide array of tools for data mining, machine learning, and statistical analysis, Pentaho Data Integration empowers organizations to glean valuable insights from their data. What sets Pentaho Data Integration apart is its maturity and a vibrant community of users and developers, making it a reliable and cost-effective option. Pentaho Data Integration offers a range of features, including a comprehensive ETL toolkit, data cleaning and transformation capabilities, robust data analysis tools, and seamless deployment options for data integration and analytics solutions, making it a go-to solution for organizations seeking to harness the power of their data.

Sample Customers

The Travel Company, Carbonite

66Controls, Providential Revenue Agency of Ro Negro, NOAA Information Systems, Swiss Real Estate Institute

Buyer's Guide

Informatica Intelligent Data Management Cloud (IDMC) vs. Pentaho Data Integration and Analytics

November 2024

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