CloverETL vs Pentaho Data Integration and Analytics comparison

Javlin and Hitachi Vantara are both solutions in the Data Integration category. Javlin is ranked #62, while Hitachi Vantara is ranked #30 with an average rating of 7.8. Javlin holds a 0.2% mindshare in DI, compared to Hitachi Vantara’s 1.4% mindshare. Additionally, 100% of Javlin users are willing to recommend the solution, compared to 94% of Hitachi Vantara users who would recommend it.

CloverETL

Read 2 CloverETL reviews

263 Views
226 Comparison Views

100% willing to recommend

Pentaho Data Integration an...

Read 51 Pentaho Data Integration and Analytics reviews

2,569 Views
1,095 Comparison Views

94% willing to recommend

CloverETL

Pentaho Data Integration an...

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Executive Summary

We performed a comparison between CloverETL and Pentaho Data Integration and Analytics based on real PeerSpot user reviews.

Find out in this report how the two Data Integration solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

To learn more, read our detailed CloverETL vs. Pentaho Data Integration and Analytics Report (Updated: November 2024).

Buyer's Guide

CloverETL vs. Pentaho Data Integration and Analytics

November 2024

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Helped 816,406 peers since 2012

Categories and Ranking

CloverETL

Ranking in Data Integration

62nd

Average Rating

7.0

Number of Reviews

Ranking in other categories

Data Visualization (45th)

Pentaho Data Integration an...

Ranking in Data Integration

30th

Average Rating

8.0

Reviews Sentiment

5.8

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of November 2024, in the Data Integration category, the mindshare of CloverETL is 0.2%, up from 0.2% compared to the previous year. The mindshare of Pentaho Data Integration and Analytics is 1.4%, up from 0.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration

Featured Reviews

it_user854766

Vice President, Information and Technology Services at a tech services company with 11-50 employees

Provides wealth of pre-defined, customizable components, and descriptive logging for errors

* Familiar, intuitive GUI (Eclipse plug-in) coming from a Java development background. * In-depth, descriptive, and well-laid-out documentation. * Responsive support through forums, even directly from Clover staff. * Wealth of pre-defined components. * All components are customizable. * Descriptive logging, especially for error messages. * Ease of install/light footprint.

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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

"Connectivity to various data sources: The ability to extract data from different data sources gives greater flexibility."

"Key features include wealth of pre-defined components; all components are customizable; descriptive logging, especially for error messages."

"No dependence on native language and ease of use."

"Server features for scheduler: It is very easy to schedule jobs and monitor them. The interface is easy to use."

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

"Its drag-and-drop interface lets me and my team implement all the solutions that we need in our company very quickly. It's a very good tool for that."

"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."

"The graphical nature of the development interface is most useful because we've got people with quite mixed skills in the team. We've got some very junior, apprentice-level people, and we've got support analysts who don't have an IT background. It allows us to have quite complicated data flows and embed logic in them. Rather than having to troll through lines and lines of code and try and work out what it's doing, you get a visual representation, which makes it quite easy for people with mixed skills to support and maintain the product. That's one side of it."

"I absolutely love Hitachi. I'm one of the forefront supporters of Hitachi for my firm. It's so easy to integrate within our environments. In terms of being able to quickly build ETL jobs, transform, and then automate them, it's really easy to integrate throughout for data analytics."

"It's my understanding that the product can scale."

"Pentaho Data Integration is quite simple to learn, and there is a lot of information available online."

"The area where Lumada has helped us is in the commercial area. There are many extractions to compose reports about our sales team performance and production steps. Since we are using Lumada to gather data from each industry in each country. We can get data from Argentina, Chile, Brazil, and Colombia at the same time. We can then concentrate and consolidate it in only one place, like our data warehouse. This improves our production performance and need for information about the industry, production data, and commercial data."

More Pentaho Data Integration and Analytics pros

Cons

"Its documentation could be improved."

"Needs: easier automated failure recovery; more, and more intuitive auto-generated/filled-in code for components; easier/more automated sync between CloverETL Designer and CloverETL Server."

"Resource management: We typically run out of heap space, and even the allocation of high heap space does not seem to be enough."

"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."

"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."

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

"I would like to see more improvements with AS400 DB2."

"Larger data jobs take more time to execute."

"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'm still in the very recent stage concerning Pentaho Data Integration, but it can't really handle what I describe as "extreme data processing" i.e. when there is a huge amount of data to process. That is one area where Pentaho is still lacking."

"Its basic functionality doesn't need a whole lot of change. There could be some improvement in the consistency of the behavior of different transformation steps. The software did start as open-source and a lot of the fundamental, everyday transformation steps that you use when building ETL jobs were developed by different people. It is not a seamless paradigm. A table input step has a different way of thinking than a data merge step."

More Pentaho Data Integration and Analytics cons

Pricing and Cost Advice

Information not available

"I use it because it is free. I download from their page for free. I don't have to pay for a license. With other tools, I have to pay for the licenses. That is why I use Pentaho."

"The price of the regular version is not reasonable and it should be lower."

"Sometimes we provide the licenses or the customer can procure their own licenses. Previously, we had an enterprise license. Currently, we are on a community license as this is adequate for our needs."

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

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

"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."

"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

No data available

Financial Services Firm

23%

Computer Software Company

14%

Government

Comms Service Provider

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...

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Product Reports

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November 2024

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Also Known As

No data available

Hitachi Lumada Data Integration, Kettle, Pentaho Data Integration

Learn More

Javlin

Hitachi Vantara

Overview

CloverETL is a rapid, end-to-end data integration solution. Businesses choose CloverETL for its usability and intuitive controls, along with its lightweight footprint, flexibility, and processing speed. Achieving true, rapid data integration means much more than just raw data processing power. Rapid refers to an end-to-end process that begins the moment a data-related problem is recognized to the point when the data is in the right place and form to be analyzed and monetized.

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

IBM, Oracle, MuleSoft, GoodData, Thomson Reuters, salesforce.com, Comcast, Active Network, SHOP.CA

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

Buyer's Guide

CloverETL vs. Pentaho Data Integration and Analytics

November 2024

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