Confluent vs FME comparison

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Confluent Logo
10,171 views|7,826 comparisons
100% willing to recommend
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3,029 views|2,359 comparisons
100% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between Confluent and FME 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. FME Report (Updated: January 2023).
768,857 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
"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.""The solution can handle a high volume of data because it works and scales well.""A person with a good IT background and HTML will not have any trouble with Confluent.""The most valuable feature of Confluent is the wide range of features provided. They're leading the market in this category.""One of the best features of Confluent is that it's very easy to search and have a live status with Jira.""Confluence's greatest asset is its user-friendly interface, coupled with its remarkable ability to seamlessly integrate with a vast range of other solutions.""The monitoring module is impressive."

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"The most valuable feature of FME is the graphical user interface. There is nothing better. It is very easy to debug because you can see all steps where there are failures. Overall the software is easy to optimize a process.""It has standard plug-ins available for different data sources.""All spatial features are unrivaled, and the possibility to execute them based on a scheduled trigger, manual, e-mail, Websocket, tweet, file/directory change or virtually any trigger is most valuable.""It has a very friendly user interface. You don't need to use a lot of code. For us that's the most important aspect about it. Also, it has a lot of connectors and few forms. It has a strong facial aspect. It can do a lot of facial analysis.""We make minor subtle changes to the workbenches to improve it. We can share the workbenches. We don't have to use GitHub or anything else."

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Cons
"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.""Areas for improvement include implementing multi-storage support to differentiate between database stores based on data age and optimizing storage costs.""there is room for improvement in the visualization.""In Confluent, there could be a few more VPN options.""The product should integrate tools for incorporating diagrams like Lucidchart. It also needs to improve its formatting features. We also faced issues while granting permissions.""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."

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"The one thing that always appears in the community is the ability to make really easy loops to loop through data efficiently. That needs to be added at some point.""FME's price needs improvement for the African market.""Improvements could be made to mapping presentations.""To get a higher rating, it would have to improve the price and the associated scalability. These are the main issues.""FME can improve the geographical transformation. I've had some problems with the geographical transformations, but it's probably mostly because I'm not the most skilled geographer in-house. The solution requires some in-depth knowledge to perform some functions."

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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 →

  • "We used the standard licensing for our use of FME. The cost was approximately €15,000 annually. We always welcome less expensive solutions, if the solution could be less expensive it would be helpful."
  • "The product's price is reasonable."
  • "FME Server used to cost £10,000; now it can cost over £100,000."
  • More FME Pricing and Cost Advice →

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    Questions from the Community
    Top Answer: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… more »
    Top Answer:I would rate the pricing of Confluent as average, around a five out of ten. Additional costs could include features like multi-tenancy support and native encryption with custom algorithms, which would… more »
    Top Answer:Areas for improvement include implementing multi-storage support to differentiate between database stores based on data age and optimizing storage costs, as well as enhancing the offset management… more »
    Top Answer:We make minor subtle changes to the workbenches to improve it. We can share the workbenches. We don't have to use GitHub or anything else.
    Top Answer:The pricing is really bad. Last year, they rebranded the whole pricing structure. It used to be moderately priced at about £400 per user per year. Now they've changed the whole thing, and it's… more »
    Top Answer:The one thing that always appears in the community is the ability to make really easy loops to loop through data efficiently. That needs to be added at some point. There must be a technical or… more »
    Ranking
    3rd
    out of 38 in Streaming Analytics
    Views
    10,171
    Comparisons
    7,826
    Reviews
    11
    Average Words per Review
    413
    Rating
    8.5
    25th
    out of 100 in Data Integration
    Views
    3,029
    Comparisons
    2,359
    Reviews
    4
    Average Words per Review
    605
    Rating
    8.3
    Comparisons
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    Databricks logo
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    AWS Glue logo
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    Oracle GoldenGate logo
    Compared 4% of the time.
    Azure Data Factory logo
    Compared 19% of the time.
    Alteryx Designer logo
    Compared 18% of the time.
    Talend Open Studio logo
    Compared 15% of the time.
    SSIS logo
    Compared 11% of the time.
    Informatica PowerCenter logo
    Compared 6% of the time.
    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.”

    FME is the data integration platform with the best support for spatial data. Run workflows on the desktop or deploy them in a server or cloud environment.

    Sample Customers
    ING, Priceline.com, Nordea, Target, RBC, Tivo, Capital One, Chartboost
    Shell, US Department of Commerce, PG&E, BC Hydro, City of Vancouver, Enel, Iowa DoT, San Antonio Water System
    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
    Government29%
    Energy/Utilities Company11%
    Computer Software Company9%
    Manufacturing Company5%
    Company Size
    REVIEWERS
    Small Business26%
    Midsize Enterprise21%
    Large Enterprise53%
    VISITORS READING REVIEWS
    Small Business19%
    Midsize Enterprise12%
    Large Enterprise69%
    VISITORS READING REVIEWS
    Small Business20%
    Midsize Enterprise16%
    Large Enterprise63%
    Buyer's Guide
    Confluent vs. FME
    January 2023
    Find out what your peers are saying about Confluent vs. FME and other solutions. Updated: January 2023.
    768,857 professionals have used our research since 2012.

    Confluent is ranked 3rd in Streaming Analytics with 19 reviews while FME is ranked 25th in Data Integration with 5 reviews. Confluent is rated 8.4, while FME is rated 8.6. 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 FME writes "Great for handling large volumes of data, but it is priced a bit high". Confluent is most compared with Amazon MSK, Amazon Kinesis, Databricks, AWS Glue and Oracle GoldenGate, whereas FME is most compared with Azure Data Factory, Alteryx Designer, Talend Open Studio, SSIS and Informatica PowerCenter. See our Confluent vs. FME 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.