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Confluent

Confluent

Overview

What is Confluent?

Confluent Cloud is a cloud-native service for Apache Kafka used to connect and process data in real time with a fully managed data streaming platform. Confluent Platform is the self-managed version.

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Recent Reviews

TrustRadius Insights

Confluent has gained popularity among companies looking to scale their stream services and manage everything through its intuitive …
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Pricing

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What is Confluent?

Confluent Cloud is a cloud-native service for Apache Kafka used to connect and process data in real time with a fully managed data streaming platform. Confluent Platform is the self-managed version.

Entry-level set up fee?

  • No setup fee

Offerings

  • Free Trial
  • Free/Freemium Version
  • Premium Consulting/Integration Services

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Product Demos

Demo: Storing 1 PB of Data in Apache Kafka with Confluent Cloud

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Demo 2: Tour | Monitoring Kafka in Confluent Control Center

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Demo 4: Consumer Rebalances | Monitoring Kafka in Confluent Control Center

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Demo: Serverless Apache Kafka with Confluent Cloud CLI

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Demo: Simple, Complete Kafka Security with Confluent Cloud

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Demo 3: KSQL | Monitoring Kafka in Confluent Control Center

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Product Details

What is Confluent?

Confluent Cloud is a cloud-native service for Apache Kafka used to connect and process data in real time with a fully managed data streaming platform. Confluent Platform is the self-managed version.

Confluent Technical Details

Deployment TypesOn-premise, Software as a Service (SaaS), Cloud, or Web-Based
Operating SystemsLinux, RHEL, Debian, Rocky Linux, Ubuntu
Mobile ApplicationNo
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Comparisons

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Reviews and Ratings

(25)

Community Insights

TrustRadius Insights are summaries of user sentiment data from TrustRadius reviews and, when necessary, 3rd-party data sources. Have feedback on this content? Let us know!

Confluent has gained popularity among companies looking to scale their stream services and manage everything through its intuitive dashboard. Users have found it useful for handling event processing in multiple places and managing extensive data analysis without losing any data in between processes. It has provided businesses with fewer errors and better traceability of events, making it an ideal solution for managing Kafka and related services. Additionally, Confluent has served as the event-stream backbone of data applications, enabling real-time insight into traditionally static, batch-based architectures. Users appreciate the ease of creating ETL for enriching data in real-time streaming and have found Confluent useful for solving interaction with microservices in different programming languages. The software provides a wrapper and managed solution for using Kafka, making it easy to focus on building new products and delivering value. With the ability to handle millions of messages per minute without performance issues, Confluent Kafka has been preferred over competitors like AWS or Apache for connecting backend services through event-driven consumers and producers. Moreover, Confluent has solved the problem of managed serverless infrastructure, allowing users to concentrate on development rather than operations and maintenance. Users have experienced simplified event-driven architecture operations, reduced headaches, and enhanced efficiency with Confluent. The software's capabilities extend beyond stream processing and message queues; it has been extensively used for big data analytics, microservices communication, and creating near real-time ingestion data pipelines for various use cases. Developers have found it easy to build customized Kafka connectors using Confluent, making it a versatile tool for creating data pipelines and storing/sending data for clients.

Reliable and Scalable Platform: Users have consistently praised Confluent for its reliability and scalability when it comes to streaming data. Many reviewers have found it easy to manage, offering the necessary tools for real-time data processing.

Intuitive User Interface: Confluent's user interface has received high praise from users who find it intuitive and seamless. They appreciate its rich features and built-in debugging tools, which make navigation and usage a breeze.

Excellent Support from Technical Team: Users highly value the support they receive from Confluent's technical team. They feel closely connected to the team with good channels for addressing architecture concerns. Reviewers often mention the team's extensive knowledge and their willingness to provide suggestions and assistance both within and outside of Confluent's offerings.

Difficulties with Documentation and Tutorial: Some users have mentioned that the documentation and tutorial for beginners could be improved, which would help onboard more developers to use the product and its dashboard. They feel that the existing resources are not comprehensive enough and may require additional clarification.

Lack of Open Source Plugins: Users have suggested that Confluent should open source more plugins under a community license, as they find the current offerings limited. They believe that having access to a wider range of community-developed plugins would enhance the functionality and flexibility of the platform.

Challenges with Monitoring Feature: Several users expressed dissatisfaction with the monitoring feature, stating that they had to spend additional money on custom metrics to ensure all their services were working properly. They find it inconvenient and costly to rely on external solutions for comprehensive monitoring capabilities within Confluent's platform.

Users have provided several recommendations for Confluent Cloud based on their experience. The three most common recommendations are:

  1. Consider architecture requirements carefully and avoid over-engineering. Users suggest carefully analyzing the specific needs of the cloud environment before implementing Confluent Cloud. This recommendation emphasizes the importance of avoiding unnecessary complexity and ensuring that the chosen architecture aligns with the organization's requirements.

  2. Evaluate the client's willingness to pay for Confluent or preference for open source. It is recommended to assess whether the client is willing to invest in Confluent Cloud or if they prefer using open source alternatives. This recommendation highlights the importance of understanding the client's preferences and budget constraints.

  3. Try Confluent for streaming applications due to low latency and data loss prevention. Users recommend using Confluent Cloud for streaming applications due to its ability to provide low latency and prevent data loss. This recommendation emphasizes the strengths of Confluent Cloud in handling real-time data processing tasks efficiently.

It is important for users to keep in mind that while Confluent Cloud offers certain advantages, it may not be suitable for all purposes. Defining a fully defined use case is also recommended. Overall, users suggest trying Confluent Cloud at least once to experience its features, especially if looking for a dedicated vendor with extensive knowledge of Kafka. Additionally, evaluating Confluent's flexible solutions, ease of operation, and suitability for users starting out are recommended considerations. Users also suggest improving training tutorials and trying Confluent for free before making a purchase decision. Considering competition from other reliable cloud platforms is also advised when deciding to give Confluent a shot.

Attribute Ratings

Reviews

(1-2 of 2)
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Score 10 out of 10
Vetted Review
Verified User
Incentivized
We needed a data streaming platform to support real time data ingestion to our data lake environment. This real time data supported client facing in store and digital use cases for sub second api call classification or product promotions. As well, we looked for a partner who could replace our current technology on Azure and Confluent was able to do so at a global enterprise level.
  • Streaming real time transactional data to cloud storage locations
  • Data streaming transformation reducing compute expenses on lake and warehouse environments
  • Transfer large size data segments
  • Cloud based Azure platform features for Confluent lacks behind AWS And GCP
If you have a need to stream data, real time or segmented structured data then Confluent is a great platform to do so with. You won't run into packet transfer size limitations that other platforms have. Flexibility in on-prem, cloud, and managed cloud offerings makes it very flexible no matter how you choose to implement.
Streaming Analytics (9)
71.11111111111111%
7.1
Real-Time Data Analysis
100%
10.0
Visualization Dashboards
80%
8.0
Data Ingestion from Multiple Data Sources
100%
10.0
Low Latency
90%
9.0
Integrated Development Tools
80%
8.0
Data wrangling and preparation
N/A
N/A
Linear Scale-Out
90%
9.0
Machine Learning Automation
N/A
N/A
Data Enrichment
100%
10.0
  • Confluent replaced Microsoft Event Hubs in our environment and unblocked data platform services rollout globally.
For our use case it was very important that the technology we were working with fit into our Azure architecture, and met our data processing size requirements to stream data within certain SLAs. Confluent more than met our performance requirements and compared to the others scale options and cost to run it was more than financially viable as a platform solution to our global operations.
Score 10 out of 10
Vetted Review
Verified User
Incentivized
The Confluent platform is currently being used by my company in the whole enterprise level. As a health care company, we need to improve interoperability between different departments and their vendors. By using the Confluent platform, we can quickly set up the messaging system and build event-driven applications, and it really helps our development.
  • Products work great.
  • Training is available.
  • Customer support is good.
  • Cloud service might need more granular configuration.
If your company needs to build event-driven applications, like in healthcare industry, you need to enhance interoperability, and you are seeking a reliable service with enterprise-grade support, Confluent is the best on the market you can get. Their product works great and they provide very good customer service.
Streaming Analytics (6)
100%
10.0
Real-Time Data Analysis
100%
10.0
Visualization Dashboards
100%
10.0
Data Ingestion from Multiple Data Sources
100%
10.0
Low Latency
100%
10.0
Integrated Development Tools
100%
10.0
Linear Scale-Out
100%
10.0
  • It enables us to develop event driven application.
  • It increases our ability to handle streaming data.
  • It reduces latency of communication.
We chose to use the Confluent Platform because they provide enterprise-grade customer service support. Whenever we have trouble setting up or using the service, we can create a ticket for them and it will be resolved pretty fast. Kafka is the open-source software that comes without warranty.
The support from the Confluent platform is great and satisfying. We have been working with Confluent for more than a year now. They sent out resident architects to help us set up Confluent cluster on our cloud and help us troubleshoot problems we have encountered. Overall, it has been a great experience working with the Confluent Platform.
MongoDB Atlas, Apache Kafka, StreamSets DataOps Platform, Stackdriver, Prometheus, Puppet Enterprise (formerly Puppet Data Center Automation), Azure DevOps (formerly VSTS), edX for Business, Linux Academy, Ubuntu Linux, Red Hat Enterprise Linux (RHEL), InfluxDB, Google App Engine, Medium, Microsoft Visual Studio Code, Canvas, Moodle, Zscaler Internet Access, Azure CDN, Azure Blob Storage
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