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Compare Cloudera DataFlow vs. Confluent

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Cloudera DataFlow Logo
1,835 views|1,565 comparisons
Confluent Logo
7,651 views|7,130 comparisons
Featured Review
Find out what your peers are saying about Databricks, Amazon, Solace and others in Streaming Analytics. Updated: November 2021.
552,305 professionals have used our research since 2012.
Quotes From Members

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

Pros
"This solution is very scalable and robust."

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"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 design of the product is extremely well built and it is highly configurable.""Kafka Connect framework is valuable for connecting to the various source systems where code doesn't need to be written.""A person with a good IT background and HTML will not have any trouble with Confluent.""Their tech support is amazing; they are very good, both on and off-site."

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Cons
"Although their workflow is pretty neat, it still requires a lot of transformation coding; especially when it comes to Python and other demanding programming languages."

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"They should remove Zookeeper because of security issues.""there is room for improvement in the visualization.""It would help if the knowledge based documents in the support portal could be available for public use as well.""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.""In Confluent, there could be a few more VPN options."

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Pricing and Cost Advice
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"Confluent is expensive, I would prefer, Apache Kafka over Confluent because of the high cost of maintenance.""You have to pay additional for one or two features."

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Questions from the Community
Top Answer: This solution is very scalable and robust.
Top Answer: Although its workflow is pretty neat, it still requires a lot of transformation coding; especially when it comes to Python and other demanding programming languages. It should be more like other… more »
Top Answer: We use this solution for sentimental analysis and fraud detection. We also use it to analyze product royalties.
Top Answer: A person with a good IT background and HTML will not have any trouble with Confluent.
Top Answer: I don't directly handle the licensing. My license is given to me. Therefore, I don't know the terms of the licensing or the exact costs.
Top Answer: The beginner who doesn't know how to work on HTML will struggle as when you create spaces in the Confluent, if you want to have some meeting notes or anything else, you need to know HTML and which… more »
Ranking
10th
out of 38 in Streaming Analytics
Views
1,835
Comparisons
1,565
Reviews
1
Average Words per Review
252
Rating
8.0
6th
out of 38 in Streaming Analytics
Views
7,651
Comparisons
7,130
Reviews
2
Average Words per Review
499
Rating
8.5
Comparisons
Also Known As
CDF, Hortonworks DataFlow, HDF
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Overview

Cloudera DataFlow (CDF), formerly Hortonworks DataFlow (HDF), is a scalable, real-time streaming analytics platform that ingests, curates, and analyzes data for key insights and immediate actionable intelligence.

Confluent Platform is the complete streaming platform for large-scale distributed environments. Unlike a traditional messaging system or stream processing API, Confluent Enterprise enables all of your interfaces to the world to be connected to and make decisions with all of your internal systems in real time.

Confluent and partner vendors offer tested and secure connectors for many popular data systems. Connectors make it quick and easy to start setting up reliable data pipelines.

Our connectors are all fully integrated with the platform, namely the schema registry.

Offer
Learn more about Cloudera DataFlow
Learn more about Confluent
Sample Customers
Clearsense
ING, Priceline.com, Nordea, Target, RBC, Tivo, Capital One, Chartboost
Top Industries
VISITORS READING REVIEWS
Computer Software Company28%
Comms Service Provider19%
Media Company8%
Financial Services Firm8%
VISITORS READING REVIEWS
Computer Software Company27%
Comms Service Provider17%
Financial Services Firm10%
Media Company10%
Find out what your peers are saying about Databricks, Amazon, Solace and others in Streaming Analytics. Updated: November 2021.
552,305 professionals have used our research since 2012.

Cloudera DataFlow is ranked 10th in Streaming Analytics with 1 review while Confluent is ranked 6th in Streaming Analytics with 5 reviews. Cloudera DataFlow is rated 8.0, while Confluent is rated 8.4. The top reviewer of Cloudera DataFlow writes "A scalable and robust platform for analyzing data". On the other hand, the top reviewer of Confluent writes "Scalable, flexible, open source solution". Cloudera DataFlow is most compared with Spring Cloud Data Flow, Databricks, Hortonworks Data Platform, Amazon MSK and Informatica Big Data Parser, whereas Confluent is most compared with Amazon MSK, Amazon Kinesis, IBM Streams, AWS Glue and PubSub+ Event Broker.

See our list of best Streaming Analytics vendors.

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.