Confluent and Spring Cloud Data Flow compete in data streaming and processing. Confluent has the edge with robust support and pricing options, yet Spring Cloud Data Flow is seen as superior due to its rich feature set, making it a compelling choice.
Features: Confluent offers Apache Kafka integration, multi-cloud capabilities, and a comprehensive library for stream processing, ideal for scalability and high throughput. Spring Cloud Data Flow focuses on data pipeline orchestration with support for a wide range of data services, enabling effective modeling, deployment, and monitoring of data processes. Key differences lie in Spring Cloud Data Flow's orchestration capabilities compared to Confluent's emphasis on smooth Kafka-based streaming.
Room for Improvement: Confluent could enhance ease of navigating its comprehensive feature set, streamline infrastructure management, and improve integration with competitor solutions. Spring Cloud Data Flow may benefit from reduced complexity in deployment, expanded support options, and scalability enhancements in diverse environments.
Ease of Deployment and Customer Service: Confluent offers easy deployment with a cloud-first approach, backed by extensive documentation and dedicated support, easing Kafka operations. Spring Cloud Data Flow adopts a microservices deployment model across environments, though technical expertise is required initially. Confluent's customer service is often more responsive and accessible compared to Spring Cloud Data Flow's community-driven support.
Pricing and ROI: Confluent features a competitive pricing structure with managed service options, leading to potentially lower total ownership costs and faster ROI. Spring Cloud Data Flow is open-source, minimizing setup expenses but might incur longer-term integration and support costs. Confluent enables quicker ROI through managed solutions, although Spring Cloud Data Flow can be cost-efficient for organizations with pre-existing internal capabilities.
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:
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:
Confluent Advantage Features
Confluent has many valuable key features. Some of the most useful ones include:
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.”
Spring Cloud Data Flow is a toolkit for building data integration and real-time data processing pipelines.
Pipelines consist of Spring Boot apps, built using the Spring Cloud Stream or Spring Cloud Task microservice frameworks. This makes Spring Cloud Data Flow suitable for a range of data processing use cases, from import/export to event streaming and predictive analytics. Use Spring Cloud Data Flow to connect your Enterprise to the Internet of Anything—mobile devices, sensors, wearables, automobiles, and more.
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.
