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Apache Spark Streaming vs Confluent comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 17, 2024

Review summaries and opinions

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

Customer Service

Sentiment score
7.1
Apache Spark Streaming's extensive documentation and community support effectively assist users, reducing the need for direct Apache help.
Sentiment score
7.0
Confluent's customer service is praised for responsiveness and efficiency, though some users desire improved guidance and best practices.
 

Scalability Issues

No sentiment score available
Sentiment score
7.3
Confluent efficiently scales across diverse industries, handling high data volumes, but faces challenges in multi-cloud and scaling down.
 

Stability Issues

No sentiment score available
Sentiment score
7.4
Confluent is generally stable with few bugs, but occasional outages occur, especially during Azure integration and maintenance.
 

Room For Improvement

Confluent requires enhanced plugins, usability, integration, security, documentation, cost management, search, governance, and tool expansion for improved user experience.
 

Setup Cost

Apache Spark Streaming is praised for cost-effectiveness, with open-source affordability and managed cloud services offering convenience at higher prices.
Confluent's pricing is seen as high and inflexible, with larger organizations favoring open-source alternatives for cost efficiency.
 

Valuable Features

Confluent offers scalability, easy navigation, integrations, real-time streaming, customization, and user-friendly management, with strong support and documentation.
 

Categories and Ranking

Apache Spark Streaming
Ranking in Streaming Analytics
10th
Average Rating
8.0
Reviews Sentiment
7.4
Number of Reviews
11
Ranking in other categories
No ranking in other categories
Confluent
Ranking in Streaming Analytics
3rd
Average Rating
8.2
Reviews Sentiment
6.8
Number of Reviews
22
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of December 2024, in the Streaming Analytics category, the mindshare of Apache Spark Streaming is 3.6%, down from 4.6% compared to the previous year. The mindshare of Confluent is 9.1%, down from 12.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Streaming Analytics
 

Featured Reviews

Oscar Estorach - PeerSpot reviewer
Versatile and flexible when dealing with large-scale data streams
What I like about Spark is its versatility in supporting multiple languages and that makes it my preferred choice for building scalable and efficient systems, whether it is hooking databases with web applications or handling large-scale data transformations. Apache Spark Streaming is versatile. You can use it for competitive intelligence, gathering data from competitors, or for internal tasks like monitoring workflows. It works well in the cloud, and you can structure data using Databricks or Spark, providing flexibility for different projects. Spark Streaming's flexibility shines when dealing with large-scale data streams. It caters to different needs, offering real-time insights for tasks like online sales analytics. The ability to prioritize data streams is valuable, especially for monitoring competitor prices online.
Gustavo-Barbosa Dos Santos - PeerSpot reviewer
Has good technical support services and a valuable feature for real-time data streaming
Implementing Confluent's schema registry has significantly enhanced our organization's data quality assurance. It helps us understand the various requirements of multiple customers and validates the information for different versions. We can automate the tasks using Confluent Kafka. Thus, it guarantees us the data quality and maintains the integrity of message contracts.
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Top Industries

By visitors reading reviews
Financial Services Firm
24%
Computer Software Company
20%
Manufacturing Company
6%
University
5%
Financial Services Firm
19%
Computer Software Company
17%
Manufacturing Company
8%
Insurance Company
5%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

What do you like most about Apache Spark Streaming?
Apache Spark Streaming is versatile. You can use it for competitive intelligence, gathering data from competitors, or for internal tasks like monitoring workflows.
What needs improvement with Apache Spark Streaming?
We don't have enough experience to be judgmental about its flaws, as we've only used stable features like batch micro-batch. Integration poses no problem; however, I don't use some features and can...
What is your primary use case for Apache Spark Streaming?
We use Spark Streaming in a micro-batch region. It's not a full real-time system, but it offers high performance and low latency.
What do you like most about Confluent?
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 to...
What is your experience regarding pricing and costs for Confluent?
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 maintenanc...
What needs improvement with Confluent?
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 c...
 

Also Known As

Spark Streaming
No data available
 

Learn More

 

Overview

 

Sample Customers

UC Berkeley AMPLab, Amazon, Alibaba Taobao, Kenshoo, eBay Inc.
ING, Priceline.com, Nordea, Target, RBC, Tivo, Capital One, Chartboost
Find out what your peers are saying about Apache Spark Streaming vs. Confluent and other solutions. Updated: December 2024.
824,053 professionals have used our research since 2012.