We performed a comparison between Confluent and Pentaho Data Integration and Analytics based on real PeerSpot user reviews.
Find out in this report how the two Streaming Analytics solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."One of the best features of Confluent is that it's very easy to search and have a live status with Jira."
"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."
"It is also good for knowledge base management."
"With Confluent Cloud we no longer need to handle the infrastructure and the plumbing, which is a concern for Confluent. The other advantage is that all portfolios have access to the data that is being shared."
"The documentation process is fast with the tool."
"The monitoring module is impressive."
"Their tech support is amazing; they are very good, both on and off-site."
"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."
"It has improved our data integration capabilities."
"The solution has a free to use community version."
"One of the valuable features is the ability to use PL/SQL statements inside the data transformations and jobs."
"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."
"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."
"It's my understanding that the product can scale."
"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 could have more themes. They should also have more reporting-oriented plugins as well. It would be great to have free custom reports that can be dispatched directly from Jira."
"Confluent's price needs improvement."
"Areas for improvement include implementing multi-storage support to differentiate between database stores based on data age and optimizing storage costs."
"Confluent has a good monitoring tool, but it's not customizable."
"They should remove Zookeeper because of security issues."
"there is room for improvement in the visualization."
"It could have more integration with different platforms."
"In Confluent, there could be a few more VPN options."
"The performance could be improved. If they could have analytics perform well on large volumes, that would be a big deal for our products."
"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."
"One thing that I don't like, just a little, is the backward compatibility."
"I would like to see improvements made for real-time data processing."
"I could not connect to our Hadoop environment in an easy and flexible way, and it was important to scale our data warehouse."
"The testing and quality could really improve. Every time that there is a major release, we are very nervous about what is going to get broken. We have had a lot of experience with that, as even the latest one was broken. Some basic things get broken. That doesn't look good for Hitachi at all. If there is one place I would advise them to spend some money and do some effort, it is with the quality. It is not that hard to start putting in some unit tests so basic things don't get broken when they do a new release. That just looks horrible, especially for an organization like Hitachi."
"The product needs more plugins."
"If you develop it on MacBook, it'll be quite a hassle."
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Confluent is ranked 4th in Streaming Analytics with 19 reviews while Pentaho Data Integration and Analytics is ranked 15th in Data Integration with 48 reviews. Confluent is rated 8.4, while Pentaho Data Integration and Analytics is rated 8.0. The top reviewer of Confluent writes "Has good technical support services and a valuable feature for real-time data streaming ". On the other hand, the top reviewer of Pentaho Data Integration and Analytics writes "It's flexible and can do almost anything I want it to do". Confluent is most compared with Amazon MSK, Amazon Kinesis, Databricks, AWS Glue and Oracle GoldenGate, whereas Pentaho Data Integration and Analytics is most compared with SSIS, Azure Data Factory, Talend Open Studio and Oracle Data Integrator (ODI). See our Confluent vs. Pentaho Data Integration and Analytics report.
We monitor all Streaming Analytics reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
