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Confluent vs Pentaho Data Integration and Analytics comparison

 

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 (7th)
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 6.6%, down 8.3% compared to last year.
Pentaho Data Integration and Analytics, on the other hand, focuses on Data Integration, holds 1.7% mindshare, down 1.7% since last year.
Streaming Analytics Mindshare Distribution
ProductMindshare (%)
Confluent6.6%
Apache Flink7.9%
Databricks7.8%
Other77.7%
Streaming Analytics
Data Integration Mindshare Distribution
ProductMindshare (%)
Pentaho Data Integration and Analytics1.7%
Informatica Intelligent Data Management Cloud (IDMC)3.7%
SSIS3.7%
Other90.9%
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

"The documentation process is fast with the tool."
"We ensure seamless management of Kafka through Confluent, allowing all of our Kafka activities to be handled by a third party."
"The most valuable feature that we are using is the data replication between the data centers allowing us to configure a disaster recovery or software. However, is it's not mandatory to use and because most of the features that we use are from Apache Kafka, such as end-to-end encryption. Internally, we can develop our own kind of product or service from Apache Kafka."
"The solution can handle a high volume of data because it works and scales well."
"Implementing Confluent's schema registry has significantly enhanced our organization's data quality assurance."
"The benefit is escaping email communication. Sometimes people ignore emails or put them into spam, but with Confluence, everyone sees the same text at the same time."
"Confluent is an amazing tool that is highly configurable, integrates very well with Jira, and lets you create nice documentation for various products while also supporting reporting and online content hosting."
"A person with a good IT background and HTML will not have any trouble with Confluent."
"Lumada has allowed us to interact with our employees more effectively and compensate them properly. One of the cool things is that we use it to generate commissions for our salespeople and bonuses for our warehouse people. It allows us to get information out to them in a timely fashion. We can also see where they're at and how they're doing."
"You can get ETL, reporting, analysis, and analytics in a single shop."
"This solution allows us to create pipelines using a minimal amount of custom coding."
"We've seen a 50 percent reduction in our ETL development time using the free version of Pentaho, saving about 1,000 euros per week and at least 50,000 euros annually."
"With this solution, instead of it taking a week, it was reduced to an afternoon, or about three hours."
"The most valuable thing for me is that it enables a technical product manager to be able to write ETL jobs themselves, which saves developers time so that they can do more important things."
"Lumada Data Integration definitely helps with decision-making for our deans and upper executives, and the fact that we're able to reuse some of the ETLs with the metadata injection saves us time and costs while making it a pretty quick process for our developers to learn and pick up ETLs from each other."
"Previously, I had three people to collect all the data and integrate all Excel spreadsheets, and it took them a day or two, but now I can do this work in about 15 minutes."
 

Cons

"It would be great if the knowledge based documents in the support portal could be available for public use as well."
"It could have more themes. The themes in the version I'm using are very limited; they offer two to three themes."
"Recently, there has been a lot of buzz about Confluent charging high fees while not offering features that match those of other tools."
"It could be more user-friendly and centralized. A way to reduce redundancy would be helpful."
"One area we've identified that could be improved is the governance and access control to the Kafka topics. We've found some limitations, like a threshold of 10,000 rules per cluster, that make it challenging to manage access at scale if we have many different data sources."
"Areas for improvement include implementing multi-storage support to differentiate between database stores based on data age and optimizing storage costs."
"From the control center perspective, there is a lot of room for improvement in the visualization."
"In Confluent, there could be a few more VPN options."
"I would like to have more languages/scripts supported in user-defined classes."
"Overall, our Hitachi solution was quite good, but over the last couple of years, we have been trying to move away from the product due to a number of things."
"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."
"I would like to see more improvements with AS400 DB2."
"Some of the scheduling features about Lumada drive me buggy."
"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."
"I have been facing some difficulties when working with large datasets. It seems that when there is a large amount of data, I experience memory errors."
"They could improve the logging generator. Sometimes the error description is so generic that it is not possible to detect the problem."
 

Pricing and Cost Advice

"Confluent is an expensive solution."
"Confluent is highly priced."
"It comes with a high cost."
"Confluent is expensive, I would prefer, Apache Kafka over Confluent because of the high cost of maintenance."
"The solution is cheaper than other products."
"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."
"On a scale from one to ten, where one is low pricing and ten is high pricing, I would rate Confluent's pricing at five. I have not encountered any additional costs."
"For most development tasks, the Enterprise edition should be sufficient. It depends on the type of support that you require for your production environment."
"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."
"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."
"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."
"I primarily work on the Community Version, which is available to use free of charge."
"There is a good open source option (Community Edition)​."
"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."
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Top Industries

By visitors reading reviews
Financial Services Firm
15%
Retailer
11%
Computer Software Company
8%
Manufacturing Company
6%
Financial Services Firm
16%
Educational Organization
9%
Construction Company
8%
Manufacturing Company
7%
 

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
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