Ab Initio Co>Operating System vs Pentaho Data Integration and Analytics comparison

Ab Initio and Hitachi Vantara are both solutions in the Data Integration category. Ab Initio is ranked #47, while Hitachi Vantara is ranked #22 with an average rating of 7.7. Ab Initio holds a 1.5% mindshare in DI, compared to Hitachi Vantara’s 1.6% mindshare. Additionally, 75% of Ab Initio users are willing to recommend the solution, compared to 94% of Hitachi Vantara users who would recommend it.

Ab Initio Co>Operating System

Read 3 Ab Initio Co>Operating System reviews

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1,058 Comparison Views

75% willing to recommend

Pentaho Data Integration an...

Read 53 Pentaho Data Integration and Analytics reviews

2,102 Views
1,065 Comparison Views

94% willing to recommend

Ab Initio Co>Operating System

Pentaho Data Integration an...

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Executive SummaryUpdated on Dec 19, 2024

Pentaho Data Integration and Analytics and Ab Initio Co>Operating System are products in the data integration and analytics space. Pentaho has the upper hand in pricing and deployment, while Ab Initio is superior in performance features.

Features: Pentaho is noted for its integration capabilities, open-source flexibility, and appealing pricing model. Ab Initio offers high performance, scalability, and advanced data processing features.

Ease of Deployment and Customer Service: Pentaho provides a straightforward deployment process and robust customer support. Ab Initio requires more technical expertise but offers comprehensive assistance.

Pricing and ROI: Pentaho is cost-effective with quicker ROI, suitable for budget-conscious enterprises. Ab Initio, with higher initial costs, promises significant ROI for data-intensive businesses.

To learn more, read our detailed Ab Initio Co>Operating System vs. Pentaho Data Integration and Analytics Report (Updated: April 2025).

Buyer's Guide

Ab Initio Co>Operating System vs. Pentaho Data Integration and Analytics

April 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

Ab Initio Co>Operating System

Ranking in Data Integration

47th

Average Rating

9.4

Reviews Sentiment

7.9

Number of Reviews

Ranking in other categories

Workload Automation (29th)

Pentaho Data Integration an...

Ranking in Data Integration

22nd

Average Rating

8.0

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of April 2025, in the Data Integration category, the mindshare of Ab Initio Co>Operating System is 1.5%, up from 0.6% compared to the previous year. The mindshare of Pentaho Data Integration and Analytics is 1.6%, up from 0.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration

Featured Reviews

AlejandroMosso

Senior Solutions Architect at IDS Comercial

Enables creation of sophisticated applications with powerful parallelism and quick, effective support

The most valuable features of Ab Initio Co>Operating System are its performance and the ability to implement parallelism. There are three kinds of parallelism in Ab Initio Co>Operating System, which allow us to create very sophisticated solutions for almost any kind of application. This parallelism is one of the strongest features. Additionally, its scalability offers a unique way to escalate applications that differs from other technologies. In terms of data processing, the emphasis is on understanding the data. Data profiling is fundamental, and Ab Initio Co>Operating System integrates tools to perform this within the GDE, as well as specialized products for this purpose. Data profiling graphs can be implemented when necessary to understand the data sources.

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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

"Ab Initio Co>Operating System support is the best I have encountered."

"Co>Operating System's most valuable feature is its ability to process bulk data effectively."

"Ab Initio reaches the highest performance and is very flexible in processing huge amounts of data."

"One of the most valuable features is the ability to create many API integrations. I'm always working with advertising agents and using Facebook and Instagram to do campaigns. We use Pentaho to get the results from these campaigns and to create dashboards to analyze the results."

"The abstraction is quite good."

"It has a really friendly user interface, which is its main feature. The process of automating or combining SQL code with some databases and doing the automation is great and really convenient."

"It makes it pretty simple to do some fairly complicated things. Both I and some of our other BI developers have made stabs at using, for example, SQL Server Integration Services, and we found them a little bit frustrating compared to Data Integration. So, its ease of use is right up there."

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

"We also haven't had to create any custom Java code. Almost everywhere it's SQL, so it's done in the pipeline and the configuration. That means you can offload the work to people who, while they are not less experienced, are less technical when it comes to logic."

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

"The product is user-friendly and intuitive"

More Pentaho Data Integration and Analytics pros

Cons

"Co>Operating System would be improved with more integrations for less well-known technologies."

"An awesome improvement would be big data solutions, for example, implementing some kind of business intelligence or neural networks for artificial intelligence."

"One thing that I don't like, just a little, is the backward compatibility."

"I could not connect to our Hadoop environment in an easy and flexible way, and it was important to scale our data warehouse."

"In terms of the flexibility to deploy in any environment, such as on-premise or in the cloud, we can do the cloud deployment only through virtual machines. We might also be able to work on different environments through Docker or Kubernetes, but we don't have an Azure app or an AWS app for easy deployment to the cloud. We can only do it through virtual machines, which is a problem, but we can manage it. We also work with Databricks because it works with Spark. We can work with clustered servers, and we can easily do the deployment in the cloud. With a right-click, we can deploy Databricks through the app on AWS or Azure cloud."

"I work with the Community Edition, therefore I do not have support. There was an issue that I could not resolve with community support."

"Lumada could have more native connectors with other vendors, such as Google BigQuery, Microsoft OneDrive, Jira systems, and Facebook or Instagram. We would like to gather data from modern platforms using Lumada, which is a better approach. As a comparison, if you open Power BI to retrieve data, then you can get data from many vendors with cloud-native connectors, such as Azure, AWS, Google BigQuery, and Athena Redshift. Lumada should have more native connectors to help us and facilitate our job in gathering information from these new modern infrastructures and tools."

"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."

"Although it is a low-code solution with a graphical interface, often the error messages that you get are of the type that a developer would be happy with. You get a big stack of red text and Java errors displayed on the screen, and less technical people can get intimidated by that. It can be a bit intimidating to get a wall of red error messages displayed. Other graphical tools that are focused at the power user level provide a much more user-friendly experience in dealing with your exceptions and guiding the user into where they've made the mistake."

"A big problem after deploying something that we do in Lumada is with Git. You get a binary file to do a code review. So, if you need to do a review, you have to take pictures of the screen to show each step. That is the biggest bug if you are using Git."

More Pentaho Data Integration and Analytics cons

Pricing and Cost Advice

"Co>Operating System's pricing is on the expensive end since it tends to be used by big enterprises."

"The solution reduced our ETL development time by a lot because a whole project used to take about a month to get done previously. After having Lumada, it took just a week. For a big company in Brazil, it saves a team at least $10,000 a month."

"There is a good open source option (Community Edition)."

"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."

"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."

"You don't need the Enterprise Edition, you can go with the Community Edition. That way you can use it for free and, for free, it's a pretty good tool to use."

"There was a cost analysis done and Pentaho did favorably in terms of cost."

"I mostly used the open-source version. I didn't work with a license."

More Pentaho Data Integration and Analytics pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

38%

Computer Software Company

Insurance Company

University

Financial Services Firm

21%

Computer Software Company

15%

Government

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

Ask a question

Earn 20 points

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...

See all answers

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...

See all answers

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Product Reports

Buyer's Guide

Data Integration

March 2025

Download Ab Initio Co>Operating System product report

Buyer's Guide

Pentaho Data Integration and Analytics

March 2025

Pentaho Data Integration and Analytics report

Download Pentaho Data Integration and Analytics product report

Also Known As

Co>Operating System

Hitachi Lumada Data Integration, Kettle, Pentaho Data Integration

Overview

Ab Initio Co>Operating System is used for data integration, ETL processes, and complex data transformations. It is robust in handling large-scale data processing and batch processing, offering scalability, reliability, and performance for managing heavy workloads.

Ab Initio Co>Operating System provides real-time data processing capabilities, an intuitive meta-programming environment, and efficient batch job execution. Users appreciate its flexibility in supporting various data sources and platforms. Primary use cases involve addressing complex data transformations and integration needs, enhancing productivity and efficiency.

What are the key features of Ab Initio Co>Operating System?

Scalability: Efficiently handles large-scale data processing and batch processing.
Robust Parallel Processing: Delivers powerful ETL capabilities with strong performance.
Intuitive Drag-and-Drop Interface: Simplifies creating and managing data workflows.
Flexible Data Integration: Supports diverse data sources seamlessly.
Error Handling and Debugging: Features strong tools for managing and resolving issues.
Automation: Automates repetitive tasks, streamlining operations.
Seamless Integration: Easily integrates with other tools, enhancing workflow efficiency.

What benefits and ROI should be considered?

Performance: High reliability and performance in managing heavy workloads.
Efficiency: Real-time data processing enhances productivity and decision-making.
Scalability: Efficient scaling to meet growing data processing needs.
Flexibility: Supports a wide range of data sources and platforms.
Usability: Intuitive interface and automation reduce learning curve and improve efficiency.

Industries implement Ab Initio Co>Operating System for its reliable data integration and ETL capabilities. Financial services use it for processing large volumes of transactional data, while retail sectors apply it for real-time analysis of customer data. Healthcare organizations leverage its robust processing for managing patient records and data aggregation.

Ab Initio

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.

Hitachi Vantara

Sample Customers

A multinational transportation company

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

Buyer's Guide

Ab Initio Co>Operating System vs. Pentaho Data Integration and Analytics

April 2025

Free Report: Ab Initio Co>Operating System vs. Pentaho Data Integration and Analytics

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