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Apache Spark Streaming vs Confluent comparison

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Executive Summary

We performed a comparison between Apache Spark Streaming and Confluent 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.

To learn more, read our detailed Apache Spark Streaming vs. Confluent report (Updated: September 2022).
633,952 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
"The solution is better than average and some of the valuable features include efficiency and stability.""As an open-source solution, using it is basically free.""The solution is very stable and reliable."

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"It is also good for knowledge base management.""The most valuable feature of Confluent is the wide range of features provided. They're leading the market in this category.""Their tech support is amazing; they are very good, both on and off-site.""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.""A person with a good IT background and HTML will not have any trouble with Confluent.""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.""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."

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"There could be an improvement in the area of the user configuration section, it should be less developer-focused and more business user-focused.""We would like to have the ability to do arbitrary stateful functions in Python.""The solution itself could be easier to use."

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"It could have more integration with different platforms.""They should remove Zookeeper because of security issues.""there is room for improvement in the visualization.""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.""The pricing model should include the ability to pick features and be charged for them only.""In Confluent, there could be a few more VPN options.""It would help if the knowledge based documents in the support portal could be available for public use as well.""Currently, in the early stages, I see a gap on the security side. If you are using the SaaS version, we would like to get a fuller, more secure solution that can be adopted right out of the box. Confluence could do a better job sharing best practices or a reusable pattern that others have used, especially for companies that can not afford to hire professional services from Confluent."

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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."
  • "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."
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    633,952 professionals have used our research since 2012.
    Questions from the Community
    Top Answer:The solution is better than average and some of the valuable features include efficiency and stability.
    Top Answer:There could be an improvement in the area of the user configuration section, it should be less developer-focused and more business user-focused. For example, it is still not plug and play and use as… more »
    Top Answer:The primary use of the solution is to implement predictive maintenance qualities.
    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 »
    out of 38 in Streaming Analytics
    Average Words per Review
    out of 38 in Streaming Analytics
    Average Words per Review
    Also Known As
    Spark Streaming
    Learn More

    Spark Streaming makes it easy to build scalable fault-tolerant streaming applications.

    Confluent is an enterprise-ready, full-scale streaming platform that enhances Apache Kafka. 

    Confluent has integrated cutting-edge features that are designed to enhance these tasks: 

    • Speed up application development and connectivity
    • Enable transformations through stream processing
    • Streamline business operations at scale
    • Adhere to strict architectural standards

    Confluent is a more complete distribution of Kafka in that it enhances the integration possibilities of Kafka by introducing tools for managing and optimizing Kafka clusters while providing methods for making sure the streams are secure. Confluent supports publish-and-subscribe as well as the storing and processing of data within the streams. Kafka is easier to operate and build thanks to Confluent.

    Confluent's software is available in three different varieties: 

    1. A free, open-source streaming platform that makes it simple to start using real-time data streams
    2. An enterprise-grade version of the product with more administrative, ops, and monitoring tools
    3. A premium cloud-based version.

    Confluent Advantage Features

    Confluent has many valuable key features. Some of the most useful ones include:

    • Multi-language

      • Clients: C++, Python, Go, and .NET
      • REST proxy: Can connect to Kafka from any connected network device
      • Admin REST APIs: RESTful interface for performing administrator operations
    • Pre-built ecosystem

      • Connectors: More than 100 supported connectors, including S3, Elastic, HDFS, JDBC
      • MQTT proxy: Gain access to Kafka from MQTT gateways and devices
      • Schema registry: Centralized database to guarantee data compatibility
    • Streaming database

      • ksqlDB: Materialized views and real-time stream processing
    • GUI management 

      • Control panel: GUI for scalable Kafka management and monitoring
      • Health+: Smart alerts and cloud-based control centers
    • DevOps automation that is flexible

      • Confluent for Kubernetes: Complete API to deploy on Kubernetes
      • Automated Ansible deployment on non-containerized environments
    • Dynamic performance 

      • Self-balancing clusters: Automated partition re-balancing across brokers in the cluster
      • Tiered storage: Older Kafka data offloading to object storage with transparent access
    • Security that is enterprise-grade 

      • Role-based access control: Granular user/group access authorization
      • Audit logs that are structured: Logs of user actions kept in dedicated Kafka topics
      • Secret protection: Sensitive information is encrypted
    • Global resilience

      • Linking clusters: A real-time, highly reliable, and consistent bridge across on-premises and cloud environments
      • Multiple-region clusters: Single Kafka cluster with automated client failover distributed across multiple data centers
      • Replicator: Asynchronous replication that is based on the Kafka Connect framework
    • Support

      • Round the clock enterprise support from Kafka experts

    Reviews from Real Users

    Confluent stands out among its competitors for a number of reasons. Two major ones are its robust enterprise support and its open source option. PeerSpot users take note of the advantages of these features in their reviews: 

    Ravi B., a solutions architect at a tech services company, writes of the solution, “KSQL is a valuable feature, as is the Kafka Connect framework for connecting to the various source systems where you need not write the code. We get great support from Confluent because we're using the enterprise version and whenever there's a problem, they support us with fine-tuning and finding the root cause.”

    Amit S., an IT consultant, notes, “The biggest benefit is that it is open source. You have the flexibility of opting or not opting for enterprise support, even though the tool itself is open source.” He adds, “The second benefit is it's very modern and built on Java and Scala. You can extend the features very well, and it doesn't take a lot of effort to do so.”

    Learn more about Apache Spark Streaming
    Learn more about Confluent
    Sample Customers
    UC Berkeley AMPLab, Amazon, Alibaba Taobao, Kenshoo, eBay Inc.
    ING,, Nordea, Target, RBC, Tivo, Capital One, Chartboost
    Top Industries
    Computer Software Company20%
    Financial Services Firm14%
    Comms Service Provider14%
    Media Company6%
    Computer Software Company18%
    Financial Services Firm17%
    Comms Service Provider11%
    Media Company6%
    Company Size
    Small Business16%
    Midsize Enterprise13%
    Large Enterprise71%
    Midsize Enterprise25%
    Large Enterprise75%
    Small Business16%
    Midsize Enterprise11%
    Large Enterprise72%
    Buyer's Guide
    Apache Spark Streaming vs. Confluent
    September 2022
    Find out what your peers are saying about Apache Spark Streaming vs. Confluent and other solutions. Updated: September 2022.
    633,952 professionals have used our research since 2012.

    Apache Spark Streaming is ranked 11th in Streaming Analytics with 3 reviews while Confluent is ranked 4th in Streaming Analytics with 8 reviews. Apache Spark Streaming is rated 7.6, while Confluent is rated 8.2. The top reviewer of Apache Spark Streaming writes "Mature and stable with good scalability". On the other hand, the top reviewer of Confluent writes "All portfolios have access to the data that is being shared but there is a gap on the security side". Apache Spark Streaming is most compared with Amazon Kinesis, Apache Flink, Azure Stream Analytics, Spring Cloud Data Flow and Apache Pulsar, whereas Confluent is most compared with Amazon MSK, Amazon Kinesis, AWS Glue, Oracle GoldenGate and Azure Stream Analytics. See our Apache Spark Streaming vs. Confluent report.

    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.