Pentaho Data Integration and Analytics vs Toad Data Point comparison

Hitachi Vantara and Quest Software are both solutions in the Data Integration category. Hitachi Vantara is ranked #8 with an average rating of 7.6, while Quest Software is ranked #20 with an average rating of 8.8. Hitachi Vantara holds a 1.6% mindshare in DI, compared to Quest Software’s 0.8% mindshare. Additionally, 95% of Hitachi Vantara users are willing to recommend the solution, compared to 100% of Quest Software users who would recommend it.

Pentaho Data Integration an...

Read 60 Pentaho Data Integration and Analytics reviews

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3,181 Comparison Views

95% willing to recommend

Toad Data Point

Read 7 Toad Data Point reviews

1,484 Views
1,024 Comparison Views

100% willing to recommend

Pentaho Data Integration an...

Toad Data Point

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Executive SummaryUpdated on Dec 19, 2024

Pentaho Data Integration and Analytics and Toad Data Point compete in the data management space, each offering distinct benefits. Pentaho has the upper hand in overall functionality, while Toad Data Point is recognized for advanced analysis features and value delivery.

Features: Pentaho is notable for its extensive ETL capabilities, effective data visualization, and broad data source integration, streamlining complex data management. Toad Data Point is recognized for comprehensive data profiling, SQL optimization tools, and its ability to integrate seamlessly with various databases to provide deep analytical insights.

Ease of Deployment and Customer Service: Pentaho presents a straightforward deployment process along with accessible support services. Toad Data Point offers a user-friendly setup and strong support, enabling teams to quickly adapt to and utilize its capabilities. Both systems are efficient in deployment; Toad is advantageous for quicker team adaptation.

Pricing and ROI: Pentaho is generally viewed as having a favorable pricing structure aligned with its features and functionality, yielding a strong ROI. Toad Data Point has a competitive pricing model, delivering significant returns due to its focus on thorough data analysis. Although both offer substantial ROI, Toad is seen as more cost-effective due to its powerful exploration tools.

To learn more, read our detailed Pentaho Data Integration and Analytics vs. Toad Data Point Report (Updated: March 2026).

Buyer's Guide

Pentaho Data Integration and Analytics vs. Toad Data Point

March 2026

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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

Pentaho Data Integration an...

Ranking in Data Integration

8th

Average Rating

8.0

Reviews Sentiment

6.7

Number of Reviews

Ranking in other categories

No ranking in other categories

Toad Data Point

Ranking in Data Integration

20th

Average Rating

8.8

Reviews Sentiment

6.7

Number of Reviews

Ranking in other categories

Data Preparation Tools (3rd)

Mindshare comparison

As of March 2026, in the Data Integration category, the mindshare of Pentaho Data Integration and Analytics is 1.6%, up from 1.4% compared to the previous year. The mindshare of Toad Data Point is 0.8%, up from 0.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration Mindshare Distribution
Product	Mindshare (%)
Pentaho Data Integration and Analytics	1.6%
Toad Data Point	0.8%
Other	97.6%

Data Integration

Featured Reviews

Michelle Lawson

Principal Software Engineer at a tech vendor with 10,001+ employees

Streamlines complex data workflows and has supported automated customer payment notifications

I haven't used Pentaho Data Integration and Analytics in a couple of years, so I don't know how it can be improved. I was pretty pleased with it and was self-taught on it, working a lot with their team at various times, but they were surprised that I was able to learn it all by myself. The documentation is not bad, and documentation is the main thing that any product can do to make themselves better because the easier it is to find examples of what you're trying to do improves the learning curve. I think it took me the longest to learn how to do the asynchronous processing and have things wait for other things to finish processing before continuing on in the workflow. I choose 8 out of 10 because the one reason that it's been rejected at T-Mobile is that everything has to go through a provisioning process and has to get approved, meaning the actual code base has to be investigated by T-Mobile before they'll allow us to use tools of that nature. For whatever reason, we just haven't been able to get that approval; I don't know if it's on Pentaho Data Integration and Analytics' side or if it's on our side. The more you can make it easier for companies to feel comfortable that your product is secure, robustly tested and bug-free, and free of any other kind of negative hacks, the more quickly it will get accepted.

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Sudunagunta Bhavya Lekha

Junior Data Analyst at Lumendata

Drag-and-drop workflows have accelerated cross-database analysis and simplified daily reporting

I consider user interface modernization in Toad Data Point to be an area for improvement; it could be enhanced with a more modern, web-based look and smoother navigation, focusing on better UX and dashboard customization. Real-time collaboration could benefit from trying Git-style integration, which would strengthen team collaboration features. Performance with large data sets sometimes slows down our workflows, so implementing a better optimization engine specifically for big data workflows could enhance functionality, along with improvements in cloud-native deployment for better browser access. For the dashboarding feature, I believe Toad Data Point could improve by offering more interactive dashboards and advanced visualizations beyond the current basic charts and pivots. Implementing capabilities such as drill-down, interactive filters, and dynamic parameter selections would align more with BI-style interactivity. Visualizations compared to tools such as Microsoft Power BI or Tableau are quite limited, so enhancing this area with cloud-hosted interactive dashboards and seamless auto-refresh options would greatly improve user experience.

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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

"We have been able to expose data services through the use of CDA relying on the same database as the reporting tools, thus avoiding inconsistencies among the data shown by reports and data acquired by external systems."

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

"Pentaho Data Integration and Analytics positively impacted my organization by organizing data that was scattered across many different databases and APIs, reducing a lot of manual work and centralizing it into one data warehouse."

"The solution is easy to set up, very intuitive, clear to understand and easy to maintain."

"The amount of data that it loads and processes is good."

"We're using the PDI and the repository function, and they give us the ability to easily generate reporting and output, and to access data. We also like the ability to schedule."

"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."

"The fact that it's a low-code solution is valuable. It's good for more junior people who may not be as experienced with programming."

More Pentaho Data Integration and Analytics pros

"The most valuable features of Toad Data are you could write a parameterized query and it wouldn't error out, it would give you the parameters that you could input. The auto-formatting feature is useful because it was great for keeping your queries neat and understandable. The auto comment, and uncomment toggles that you could do were convenient."

"The Connectivity and Connection Manager supports a broad number of connection types, and it is trivial for end-users to set up their own connections to sources."

"With Toad Data Point, I can automate most steps automatically."

"It provides better SQL development tooling than SQL Developer, which is not a sufficient tool for all development use cases. It offers power developers the tools they need."

"We love it."

"The best thing about it is its automation features."

"What I like the most about Toad Data Point is the automation feature, which is mostly useful for us, and I have not found it in any other systems that I have worked with so far, and it can easily schedule any automation tasks that we provide."

"I would estimate that Toad Data Point saves me about 30 to 70 percent of my time depending on the work type."

More Toad Data Point pros

Cons

"Some old plugins, after a long time, still doesn’t work properly enough."

"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."

"Its performance can be improved so it will work better with Big Data. Also, sometimes it can be very buggy which keeps away some potential users."

"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."

"There some steps that should perform better like the json input, but because of the flexibility we at inflow, override it by using scripting steps."

"They could improve the logging generator. Sometimes the error description is so generic that it is not possible to detect the problem."

"It's not very stable, at least not in the case of the community edition. I'm working with the community edition right now and I think perhaps it is because of that it is not very stable, it causes the system to sometimes hang."

More Pentaho Data Integration and Analytics cons

"I used their report writing a little bit, however, it could improve since it's not a really good report writer and it's a little clunky."

"Toad Data could improve by having additional features, such as query prediction. This could help someone who's not the strongest programmer. If the software could help them write queries correctly it would be very helpful, especially for small development teams or teams that lack the input skills necessary to write and program efficiently."

"It's not user-friendly. Once you start using it, you eventually get to know the features."

"Visualizations compared to tools such as Microsoft Power BI or Tableau are quite limited, so enhancing this area with cloud-hosted interactive dashboards and seamless auto-refresh options would greatly improve user experience."

"On the scheduling server, some scheduled reports just sit there and never execute for the first time. After manually executing the first time, they run with no issues."

"The Mac license is incredibly expensive. It is 1,600 dollars each, which is more than the Windows version."

"I used their report writing a little bit, however, it could improve since it's not a really good report writer and it's a little clunky."

"The Mac license is incredibly expensive. It is 1,600 dollars each, which is more than the Windows version. Scalability is difficult when it is that costly."

More Toad Data Point cons

Pricing and Cost Advice

"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."

"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."

"When we first started with it, it was much cheaper. It has gone up drastically, especially since Hitachi bought out Pentaho."

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

"I primarily work on the Community Version, which is available to use free of charge."

"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."

"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."

"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."

More Pentaho Data Integration and Analytics pricing and cost advice

"The price of Toad Data Point was approximately $500 annually."

"The Mac licenses are expensive, costing 1,600 dollars each. This is much higher than for the Windows version. I maintain a very limited number of licenses due to this cost."

"The cost of this product is reasonable."

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Top Industries

By visitors reading reviews

Financial Services Firm

12%

Educational Organization

Government

Computer Software Company

Financial Services Firm

24%

Healthcare Company

Retailer

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	18
Midsize Enterprise	17
Large Enterprise	31

No data available

Questions from the Community

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, ...

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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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What is your experience regarding pricing and costs for Toad Data Point?

The pricing for Toad Data Point is where it gets into trouble. Microsoft is free, so if you get SQL Server, you get all the other stuff with it. You have to use several Microsoft tools that don't a...

See all answers

What needs improvement with Toad Data Point?

See all answers

What is your primary use case for Toad Data Point?

We are working for US banking, and for that, we have a project where we are using PowerCenter along with ETL; in that, we are using Toad Data Point for the SQL queries. Drag-and-drop functionality ...

See all answers

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Product Reports

Buyer's Guide

Pentaho Data Integration and Analytics

March 2026

Pentaho Data Integration and Analytics report

Download Pentaho Data Integration and Analytics product report

Buyer's Guide

Toad Data Point

February 2026

Download Toad Data Point product report

Also Known As

Hitachi Lumada Data Integration, Kettle, Pentaho Data Integration

No data available

Overview

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

Toad Data Point is a cross-platform, self-service, data-integration tool that simplifies data access, preparation and provisioning. It provides nearly limitless data connectivity, desktop data integration, visual query building and workflow automation.

Quest Software

Sample Customers

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

Concordia University

Buyer's Guide

Pentaho Data Integration and Analytics vs. Toad Data Point

March 2026

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