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Confluent vs Pentaho Data Integration and Analytics comparison

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Comparison Buyer's Guide

Executive Summary

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

Confluent
Average Rating
8.2
Reviews Sentiment
6.3
Number of Reviews
25
Ranking in other categories
Streaming Analytics (9th)
Pentaho Data Integration an...
Average Rating
8.0
Reviews Sentiment
6.7
Number of Reviews
61
Ranking in other categories
Data Integration (9th)
 

Mindshare comparison

Confluent and Pentaho Data Integration and Analytics aren’t in the same category and serve different purposes. Confluent is designed for Streaming Analytics and holds a mindshare of 6.2%, down 8.5% compared to last year.
Pentaho Data Integration and Analytics, on the other hand, focuses on Data Integration, holds 1.8% mindshare, up 1.6% since last year.
Streaming Analytics Mindshare Distribution
ProductMindshare (%)
Confluent6.2%
Databricks7.4%
Apache Flink6.9%
Other79.5%
Streaming Analytics
Data Integration Mindshare Distribution
ProductMindshare (%)
Pentaho Data Integration and Analytics1.8%
SSIS4.0%
Informatica Intelligent Data Management Cloud (IDMC)3.8%
Other90.4%
Data Integration
 

Featured Reviews

PavanManepalli - PeerSpot reviewer
AVP - Sr Middleware Messaging Integration Engineer at Wells Fargo
Has supported streaming use cases across data centers and simplifies fraud analytics with SQL-based processing
I recommend that Confluent should improve its solution to keep up with competitors in the market, such as Solace and other upcoming tools such as NATS. Recently, there has been a lot of buzz about Confluent charging high fees while not offering features that match those of other tools. They need to improve in that direction by not only reducing costs but also providing better solutions for the problems customers face to avoid frustrations, whether through future enhancement requests or ensuring product stability. The cost should be worked on, and they should provide better solutions for customers. Solutions should focus on hierarchical topics; if a customer has different types of data and sources, they should be able to send them to the same place for analytics. Currently, Confluent requires everything to send to the same topic, which becomes very large and makes running analytics difficult. The hierarchy of topics should be improved. This part is available in MQ and other products such as Solace, but it is missing in Confluent, leading many in capital markets and trading to switch to Solace. In terms of stability, it is not the stability itself that needs improvement but rather the delivery semantics. Other products offer exactly-once delivery out of the box, whereas Confluent states it will offer this but lacks the knobs or levers for tuning configurations effectively. Confluent has hundreds of configurations that application teams must understand, which creates a gap. Users are often unaware of what values to set for better performance or to achieve exactly-once semantics, making it difficult to navigate through them. Delivery semantics also need to be worked on.
Michelle Lawson - PeerSpot reviewer
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.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"Our main goal is to validate whether we can build a scalable and cost-efficient way to replicate data from these various sources."
"Overall, it's a great company and they have excellent software."
"One of the best features of Confluent is that it's very easy to search and have a live status with Jira."
"The features I find most useful in Confluent are the Multi-Region Cluster, MRC, and the Cluster Linking for replication."
"Implementing Confluent's schema registry has significantly enhanced our organization's data quality assurance."
"I would rate the scalability of the solution at eight out of ten. We have 20 people who use Confluent in our organization now, and we hope to increase usage in the future."
"I find Confluent's Kafka Connectors and Kafka Streams invaluable for my use cases because they simplify real-time data processing and ETL tasks by providing reliable, pre-packaged connectors and tools."
"The design of the product is extremely well built and it is highly configurable."
"It is a very good tool if you need to work with data."
"Pentaho Data Integration and Analytics has had a notably positive impact on my organization, enabling us to complete several projects efficiently."
"Before we used Pentaho, our processes were in Microsoft Excel and the updates from databases had to be done manually, but now all our routines are done automatically and we have more time to do other jobs, saving us four or five hours daily."
"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."
"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."
"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."
"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."
"When I started doing it and did the migration so that all that ETL process would be done in Pentaho Data Integration and Analytics, I reduced the processing time from two and a half hours per run to seven minutes."
 

Cons

"Currently, in the early stages, I see a gap on the security side. If you are using the SaaS version, we would like to get a fuller, more secure solution that can be adopted right out of the box. Confluence could do a better job sharing best practices or a reusable pattern that others have used, especially for companies that can not afford to hire professional services from Confluent."
"It could have more themes. The themes in the version I'm using are very limited; they offer two to three themes."
"There is no local support team in Saudi Arabia."
"From the control center perspective, there is a lot of room for improvement in the visualization."
"It could be improved by including a feature that automatically creates a new topic and puts failed messages."
"Confluent has a good monitoring tool, but it's not customizable."
"The formatting aspect within the page can be improved and more powerful."
"They should remove Zookeeper because of security issues."
"When dealing with substantial data volumes from cloud systems, performance can become an issue; even using the Enterprise Edition, the time required for executing particular pipeline tasks is notably high compared to other ETL tools such as ADF, DataBricks, or SSIS."
"Some old plugins, after a long time, still doesn’t work properly enough."
"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 and it was kind of buggy sometimes."
"I was not happy with the Pentaho Report Designer because of the way it was set up. There was a zone and, under it, another zone, and under that another one, and under that another one. There were a lot of levels and places inside the report, and it was a little bit complicated. You have to search all these different places using a mouse, clicking everywhere... each report is coded in a binary file... You cannot search with a text search tool..."
"Support for common Hadoop utilities can be expanded, such as bulk load with composite row keys for HBase, and include drivers for Impala out-of-the-box."
"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."
"​There is not a data quality or MDM solution in the Pentaho DI suite.​"
"Parallel execution could be better in Pentaho. It's very simple but I don't think it works well."
 

Pricing and Cost Advice

"You have to pay additional for one or two features."
"Regarding pricing, I think Confluent is a premium product, but it's hard for me to say definitively if it's overly expensive. We're still trying to understand if the features and reduced maintenance complexity justify the cost, especially as we scale our platform use."
"Confluent is an expensive solution as we went for a three contract and it was very costly for us."
"The pricing model of Confluent could improve because if you have a classic use case where you're going to use all the features there is no plan to reduce the features. You should be able to pick and choose basic services at a reduced price. The pricing was high for our needs. We should not have to pay for features we do not use."
"Confluence's pricing is quite reasonable, with a cost of around $10 per user that decreases as the number of users increases. Additionally, it's worth noting that for teams of up to 10 users, the solution is completely free."
"Confluent is highly priced."
"It comes with a high cost."
"The solution is cheaper than other products."
"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."
"There was a cost analysis done and Pentaho did favorably in terms of cost."
"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 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."
"I primarily work on the Community Version, which is available to use free of charge."
"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."
"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."
"There is a good open source option (Community Edition)​."
report
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Top Industries

By visitors reading reviews
Financial Services Firm
14%
Retailer
12%
Manufacturing Company
6%
Construction Company
6%
Financial Services Firm
12%
Outsourcing Company
11%
Construction Company
9%
Educational Organization
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business6
Midsize Enterprise4
Large Enterprise17
By reviewers
Company SizeCount
Small Business18
Midsize Enterprise17
Large Enterprise32
 

Questions from the Community

What is your experience regarding pricing and costs for Confluent?
They charge a lot for scaling, which makes it expensive.
What needs improvement with Confluent?
I recommend that Confluent should improve its solution to keep up with competitors in the market, such as Solace and other upcoming tools such as NATS. Recently, there has been a lot of buzz about ...
What is your primary use case for Confluent?
The main use cases for Confluent are log aggregation and streaming. I'm familiar with Confluent stream processing with KSQL. KSQL helps in terms of data analytics strategies because if we are the d...
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...
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, ...
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...
 

Also Known As

No data available
Hitachi Lumada Data Integration, Kettle, Pentaho Data Integration
 

Overview

 

Sample Customers

ING, Priceline.com, Nordea, Target, RBC, Tivo, Capital One, Chartboost
66Controls, Providential Revenue Agency of Ro Negro, NOAA Information Systems, Swiss Real Estate Institute
Find out what your peers are saying about Databricks, Microsoft, Apache and others in Streaming Analytics. Updated: September 2026.
915,341 professionals have used our research since 2012.