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Confluent vs Dataloader.io 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)
Dataloader.io
Average Rating
7.6
Reviews Sentiment
7.5
Number of Reviews
2
Ranking in other categories
Data Integration (50th)
 

Mindshare comparison

Confluent and Dataloader.io aren’t in the same category and serve different purposes. Confluent is designed for Streaming Analytics and holds a mindshare of 6.4%, down 8.3% compared to last year.
Dataloader.io, on the other hand, focuses on Data Integration, holds 0.7% mindshare, up 0.2% since last year.
Streaming Analytics Mindshare Distribution
ProductMindshare (%)
Confluent6.4%
Databricks7.5%
Apache Flink7.5%
Other78.6%
Streaming Analytics
Data Integration Mindshare Distribution
ProductMindshare (%)
Dataloader.io0.7%
Informatica Intelligent Data Management Cloud (IDMC)3.8%
SSIS3.7%
Other91.8%
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.
reviewer2542599 - PeerSpot reviewer
Lead Database Administrator at a insurance company with 201-500 employees
Integrating external keys seamlessly while has transaction constraints
I find DataLoader's ability to easily integrate with external keys valuable, which is a bit more challenging with DBM. It provides automation for scheduling data loads, and we use the server's functionality for this. Additionally, DataLoader is cost-effective since it is free. As long as I have stable network access, uploading and downloading data is straightforward.

Quotes from Members

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

Pros

"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 documentation process is fast with the tool."
"We mostly use the solution's message queues and event-driven architecture."
"Their tech support is amazing; they are very good, both on and off-site."
"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."
"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 client APIs are the most valuable feature."
"he product’s most valuable feature is ease of access."
"I find DataLoader's ability to easily integrate with external keys valuable, which is a bit more challenging with DBM."
"DataLoader is cost-effective since it is free."
 

Cons

"Areas for improvement include implementing multi-storage support to differentiate between database stores based on data age and optimizing storage costs."
"The Schema Registry service could be improved. I would like a bigger knowledge base of other use cases and more technical forums. It would be good to have more flexible monitoring features added to the next release as well."
"It could have more integration with different platforms."
"Confluent has a good monitoring tool, but it's not customizable."
"It could have more themes. The themes in the version I'm using are very limited; they offer two to three themes."
"It would be great if the knowledge based documents in the support portal could be available for public use as well."
"From the control center perspective, there is a lot of room for improvement in the visualization."
"They should remove Zookeeper because of security issues."
"We need help with large data migrations. It only works well for a few thousand records or less than a million records."
"Dataloader has limitations, including constraints with file sizes and transactions. Additionally, at times it can be slow, and when integrating DBM, we find it more complex than Dataloader."
 

Pricing and Cost Advice

"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."
"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."
"Confluent is highly priced."
"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."
"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."
"Confluent is an expensive solution."
"Confluent has a yearly license, which is a bit high because it's on a per-user basis."
"The product is inexpensive and economical."
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Top Industries

By visitors reading reviews
Financial Services Firm
15%
Retailer
12%
Computer Software Company
7%
Manufacturing Company
6%
Construction Company
20%
Comms Service Provider
18%
Insurance Company
8%
Transportation Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business6
Midsize Enterprise4
Large Enterprise17
No data available
 

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...
What is your experience regarding pricing and costs for Dataloader.io?
Dataloader.io is cost-effective, particularly since it is free.
What needs improvement with Dataloader.io?
DataLoader has limitations, including constraints with file sizes and transactions. Additionally, at times it can be slow, and when integrating DBM, we find it more complex than DataLoader.
What advice do you have for others considering Dataloader.io?
For small to mid-range businesses, DataLoader is perfectly fine, offering everything needed for uploading. On a scale of one to ten, I would rate DataLoader a seven or eight depending on specific n...
 

Comparisons

 

Overview

 

Sample Customers

ING, Priceline.com, Nordea, Target, RBC, Tivo, Capital One, Chartboost
UCSF, Box, CareFusion, Unilever, Hershey's
Find out what your peers are saying about Databricks, Microsoft, Apache and others in Streaming Analytics. Updated: August 2026.
909,725 professionals have used our research since 2012.