Confluent vs Qlik Compose comparison

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10,449 views|8,119 comparisons
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2,162 views|1,624 comparisons
Comparison Buyer's Guide
Executive Summary

We performed a comparison between Confluent and Qlik Compose 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 Confluent vs. Qlik Compose Report (Updated: July 2023).
765,234 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:
Pros
"The solution can handle a high volume of data because it works and scales well.""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.""I would rate the scalability of the solution at eight out of ten. We have 20 people who use Confluent in our organization now, and we hope to increase usage in the future.""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.""Implementing Confluent's schema registry has significantly enhanced our organization's data quality assurance.""It is also good for knowledge base management."

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"There were many valuable features, such as extracting any data to put in the cloud. For example, Qlik was able to gather data from SAP and extract SAP data from the platforms.""One of the most valuable features of this tool is its automation capabilities, allowing us to design the warehouse in an automated manner. Additionally, we can generate Data Lifecycle Policies (DLP) reports and efficiently implement updates and best practices based on proven design patterns.""One of the most valuable features was the ability to integrate multiple source systems that mainly used structured IDBMS versions.""As long as you pick the solution that best fits with your requirements, you won't find that performance is a problem. It's good.""It is a scalable solution.""I like modeling and code generation. It has become a pretty handy tool because of its short ideation to delivery time. From the time you decide you are modeling a data warehouse, and once you finish the modeling, it generates all the code, generates all the tables. All you have to do is tick a few things, and you can produce a fully functional warehouse. I also like that they have added all the features I have asked for over four years.""Qlik Compose is good enough. It is user-friendly and intuitive.""The technical support is very good. I rate the technical support a ten out of ten."

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Cons
"Confluent's price needs improvement.""It could have more integration with different platforms.""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.""there is room for improvement in the visualization.""It could be improved by including a feature that automatically creates a new topic and puts failed messages.""They should remove Zookeeper because of security issues.""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."

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"The solution has room for improvement in the ETL. They have an ETL, but when it comes to the monitoring portion, Qlik Compose doesn't provide a feature for monitoring.""It could enhance its capabilities in the realm of self-service options as currently, it is more suited for individuals with technical proficiency who can create pages using it.""I'd like to have access to more developer training materials.""When processing data from certain tables with a large volume of data, we encounter significant delays. For instance, when dealing with around one million records, it typically takes three to four hours. To address this, I aim to implement performance improvements across all tables, ensuring swift processing similar to those that are currently complete within seconds. The performance issue primarily arises when we analyze the inserts and updates from the source, subsequently dropping the table. While new insertions are handled promptly, updates are processed slowly, leading to performance issues. Despite consulting our Qlik vendors, they were unable to pinpoint the exact cause of this occurrence. Consequently, I am seeking ways to optimize performance within Qlik Compose, specifically concerning updates.""For more complex work, we are not using Qlik Compose because it cannot handle very high volumes at the moment. It needs the same batching capabilities that other ETL tools have. We can't batch the data into small chunks when transforming large amounts of data. It tries to do everything in one shot and that's where it fails.""It would be better if the first level of technical support were a bit more technically knowledgeable to solve the problem. I think they could also improve the injection of custom scripts. It is pretty difficult to add additional scripts. If the modeling doesn't give you what you want, and you want to change the script generated by the modeling, it is a bit more challenging than in most other products. It is very good with standard form type systems, but if you get a more complicated data paradigm, it tends to struggle with transforming that into a model.""Qlik's ETL and data transformation could be better.""My issues with the solution's stability are owing to the fact that it has certain bugs causing issues in some functionalities that should be working."

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Pricing and Cost Advice
  • "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."
  • "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."
  • "Confluence's pricing is quite reasonable, with a cost of around $10 per user that decreases as the number of users increases. Additionally, it's worth noting that for teams of up to 10 users, the solution is completely free."
  • "Confluent has a yearly license, which is a bit high because it's on a per-user basis."
  • "It comes with a high cost."
  • "Confluent is highly priced."
  • More Confluent Pricing and Cost Advice →

  • "On a scale of one to ten, where one is cheap, and ten is very expensive, I rate the solution a six."
  • "The price of the solution is expensive."
  • "While they outperform Tableau, there's room for improvement in Qlik's pricing structures, especially for corporate clients like us."
  • More Qlik Compose Pricing and Cost Advice →

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    Questions from the Community
    Top Answer:Implementing Confluent's schema registry has significantly enhanced our organization's data quality assurance.
    Top Answer:Confluent has a higher price than MSK. However, it delivers better features for tech stack requirements. For instance, its superior integration capabilities have proven essential, particularly in… more »
    Top Answer:Confluent's price needs improvement.
    Top Answer:There are two products I know about * TimeXtender : Microsoft based, Transformation logic is quiet good and can easily be extended with T-SQL , Has a semantic layer that generates metat data for cubes… more »
    Top Answer:The most valuable is its excellence as a graphical data representation tool and the versatility it offers, especially with drill-down capabilities.
    Top Answer:While they outperform Tableau, there's room for improvement in Qlik's pricing structures, especially for corporate clients like us.
    Ranking
    3rd
    out of 38 in Streaming Analytics
    Views
    10,449
    Comparisons
    8,119
    Reviews
    10
    Average Words per Review
    396
    Rating
    8.5
    18th
    out of 94 in Data Integration
    Views
    2,162
    Comparisons
    1,624
    Reviews
    10
    Average Words per Review
    460
    Rating
    7.7
    Comparisons
    Amazon MSK logo
    Compared 21% of the time.
    Amazon Kinesis logo
    Compared 11% of the time.
    AWS Glue logo
    Compared 7% of the time.
    Databricks logo
    Compared 6% of the time.
    Oracle GoldenGate logo
    Compared 5% of the time.
    Also Known As
    Compose, Attunity Compose
    Learn More
    Overview

    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.”

    Qlik Sense is a powerful business intelligence tool that offers a range of features to help organizations make faster and more informed decisions. Its primary use cases include operational and financial dashboards, self-service reporting, and centralized access to cross-functional reports. The solution is praised for its mobile platform, ease of use, data-sharing capabilities, and extensibility. 

    Qlik Sense has helped organizations improve data literacy, reduce time consumed in complex reports, and provide widely available MI to senior stakeholders. It also enables self-service analytics, improves data quality and governance, enhances collaboration, and reduces costs.

    Sample Customers
    ING, Priceline.com, Nordea, Target, RBC, Tivo, Capital One, Chartboost
    Poly-Wood
    Top Industries
    REVIEWERS
    Computer Software Company31%
    Retailer15%
    Non Tech Company8%
    Government8%
    VISITORS READING REVIEWS
    Financial Services Firm19%
    Computer Software Company17%
    Manufacturing Company8%
    Retailer6%
    VISITORS READING REVIEWS
    Financial Services Firm13%
    Manufacturing Company11%
    Computer Software Company11%
    Retailer6%
    Company Size
    REVIEWERS
    Small Business26%
    Midsize Enterprise21%
    Large Enterprise53%
    VISITORS READING REVIEWS
    Small Business19%
    Midsize Enterprise12%
    Large Enterprise70%
    REVIEWERS
    Small Business36%
    Midsize Enterprise9%
    Large Enterprise55%
    VISITORS READING REVIEWS
    Small Business17%
    Midsize Enterprise13%
    Large Enterprise70%
    Buyer's Guide
    Confluent vs. Qlik Compose
    July 2023
    Find out what your peers are saying about Confluent vs. Qlik Compose and other solutions. Updated: July 2023.
    765,234 professionals have used our research since 2012.

    Confluent is ranked 3rd in Streaming Analytics with 18 reviews while Qlik Compose is ranked 18th in Data Integration with 12 reviews. Confluent is rated 8.4, while Qlik Compose is rated 7.6. 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 Qlik Compose writes "Easy matching and reconciliation of data". Confluent is most compared with Amazon MSK, Amazon Kinesis, AWS Glue, Databricks and Oracle GoldenGate, whereas Qlik Compose is most compared with Qlik Replicate, Talend Open Studio, Azure Data Factory, SSIS and Palantir Foundry. See our Confluent vs. Qlik Compose 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.