Apache Flink vs Confluent comparison

Apache Flink is an open-source batch and stream data processing engine. It can be used for batch, micro-batch, and real-time processing. Flink is a programming model that combines the benefits of batch processing and streaming analytics by providing a unified programming interface for both data sources, allowing users to write programs that seamlessly switch between the two modes. It can also be used for interactive queries.

Flink can be used as an alternative to MapReduce for executing iterative algorithms on large datasets in parallel. It was developed specifically for large to extremely large data sets that require complex iterative algorithms.

Flink is a fast and reliable framework developed in Java, Scala, and Python. It runs on the cluster that consists of data nodes and managers. It has a rich set of features that can be used out of the box in order to build sophisticated applications.

Flink has a robust API and is ready to be used with Hadoop, Cassandra, Hive, Impala, Kafka, MySQL/MariaDB, Neo4j, as well as any other NoSQL database.

Apache Flink Features

• Distributed execution of streaming programs on clusters of computers
• Support for multiple data sources and sinks: this includes Hadoop file systems, databases, and other data sources
• Streaming SQL query engine with support for windowing functions
• Low latency query execution in milliseconds
• Runs in a distributed fashion: it can be deployed on multiple machines or nodes to increase performance and reliability of data processing pipelines.
• Powerful API that supports both batch and streaming applications
• Runs on clusters of commodity hardware with minimal configuration
• Can be integrated with other technologies, such as Apache Spark for complex data mining

Apache Flink Benefits

• Ease of use: Flink has an intuitive API and provides high-level abstractions for handling data streams. Even beginners in the field can work with the platform with ease.

• Fault tolerance: Flink can automatically detect and recover from failures in the system.

• Scalability: Flink scales to thousands of nodes. It can run on clusters of any size and the user does not have to worry about managing the cluster.

Reviews from Real Users

Apache Flink stands out among its competitors for a number of reasons. Two major ones are its low latency and its user-friendly interface. PeerSpot users take note of the advantages of these features in their reviews:

The head of data and analytics at a computer software company notes, “The top feature of Apache Flink is its low latency for fast, real-time data. Another great feature is the real-time indicators and alerts which make a big difference when it comes to data processing and analysis.”

Ertugrul A., manager at a computer software company, writes, “It's usable and affordable. It is user-friendly and the reporting is good.”

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.”