Confluent vs Informatica Data Integration Hub comparison

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Executive Summary

We performed a comparison between Confluent and Informatica Data Integration Hub based on real PeerSpot user reviews.

Find out what your peers are saying about Databricks, Amazon, Confluent and others in Streaming Analytics.
To learn more, read our detailed Streaming Analytics Report (Updated: March 2024).
765,386 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
"A person with a good IT background and HTML will not have any trouble with Confluent.""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.""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 documentation process is fast with the tool.""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.""Implementing Confluent's schema registry has significantly enhanced our organization's data quality assurance.""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.""One of the best features of Confluent is that it's very easy to search and have a live status with Jira."

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"The technical support services are good.""The MDM solution is capable of integrating multiple systems, so it helped us to solve the purpose of centralizing the depository as well as the standardization of mass data. It takes away all the ambiguity around data integrity issues or all the process challenges which happen when every stage of a process uses a different source as master data.""Performance and flexibility-wise, they're very user-friendly."

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Cons
"There is a limitation when it comes to seamlessly importing Microsoft documents into Confluent pages, which can be inconvenient for users who frequently work with Microsoft Office tools and need to transition their content to Confluent.""It could have more integration with different platforms.""In Confluent, there could be a few more VPN options.""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 formatting aspect within the page can be improved and more powerful.""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 would help if the knowledge based documents in the support portal could be available for public use as well."

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"The initial setup was not very straightforward. Not complex, but not very simple either.""When it comes to UI look and feel and user experience, Informatica is not as good as other solutions.""They could provide more robust performance for data integration processes. It would help in improving the data quality more efficiently."

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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 →

  • "Comparatively, their prices are a little bit too high."
  • More Informatica Data Integration Hub 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.
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    Ranking
    3rd
    out of 38 in Streaming Analytics
    Views
    10,449
    Comparisons
    8,119
    Reviews
    10
    Average Words per Review
    396
    Rating
    8.5
    47th
    out of 94 in Data Integration
    Views
    1,020
    Comparisons
    949
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    Comparisons
    Also Known As
    Informatica Integration Hub, Integration Hub
    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.”

    Informatica Data Integration Hub empowers large organizations to embrace change and the opportunities of new applications and analytics systems, while managing storage in Hadoop as well as relational database and file store options. The centralized modern hubbased architecture is the foundation for agile and managed enterprise data integration. As the first to apply a publish/subscribe model to data integration linking big data, cloud, and traditional systems, Informatica delivers productivity and intelligent automation without compromising control.

    Sample Customers
    ING, Priceline.com, Nordea, Target, RBC, Tivo, Capital One, Chartboost
    Humana, Rabobank, State of Washington
    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 Firm16%
    Computer Software Company11%
    Manufacturing Company10%
    Government8%
    Company Size
    REVIEWERS
    Small Business26%
    Midsize Enterprise21%
    Large Enterprise53%
    VISITORS READING REVIEWS
    Small Business19%
    Midsize Enterprise12%
    Large Enterprise70%
    VISITORS READING REVIEWS
    Small Business17%
    Midsize Enterprise11%
    Large Enterprise73%
    Buyer's Guide
    Streaming Analytics
    March 2024
    Find out what your peers are saying about Databricks, Amazon, Confluent and others in Streaming Analytics. Updated: March 2024.
    765,386 professionals have used our research since 2012.

    Confluent is ranked 3rd in Streaming Analytics with 18 reviews while Informatica Data Integration Hub is ranked 47th in Data Integration with 3 reviews. Confluent is rated 8.4, while Informatica Data Integration Hub is rated 8.0. 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 Informatica Data Integration Hub writes "Excellent at standardizing mass data and capable of integrating with multiple solutions ". Confluent is most compared with Amazon MSK, Amazon Kinesis, AWS Glue, Databricks and Oracle GoldenGate, whereas Informatica Data Integration Hub is most compared with Informatica PowerCenter, AWS Database Migration Service, Azure Data Factory, Mule Anypoint Platform and Palantir Foundry.

    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.