

Apache Flink and PubSub+ Platform are both key players in the real-time data processing category. Apache Flink appears to have the upper hand in stream processing capabilities, while PubSub+ Platform is preferred for its robust messaging features.
Features:Apache Flink is known for stateful computation, high throughput, and precise low-latency operations, making it ideal for intricate real-time analytics. PubSub+ Platform is notable for its versatile message brokering, support of multiple messaging protocols, and dynamic message routing, which effectively addresses event-driven architecture needs.
Room for Improvement:Apache Flink can benefit from improved ease of use, more intuitive community support, and reduced deployment complexity. PubSub+ Platform could enhance its integration features, broaden its protocol support, and optimize its cost structure for better market competitiveness.
Ease of Deployment and Customer Service:Apache Flink offers deployment on various platforms such as Kubernetes but requires technical expertise, and its community-based support model may deter some users. PubSub+ Platform provides more accessible cloud-native deployment options with strong professional support, favorable for organizations seeking managed solutions.
Pricing and ROI:Apache Flink offers a lower setup cost, attributed to its open-source nature, which is ideal for users focused on cost-effective real-time analytics. PubSub+ Platform, while having potentially higher initial costs, ensures a solid ROI through its comprehensive messaging capabilities and outstanding support, making it a beneficial choice for event-driven applications.


| Product | Market Share (%) | 
|---|---|
| Apache Flink | 14.8% | 
| PubSub+ Platform | 3.0% | 
| Other | 82.2% | 


| Company Size | Count | 
|---|---|
| Small Business | 5 | 
| Midsize Enterprise | 3 | 
| Large Enterprise | 11 | 
| Company Size | Count | 
|---|---|
| Small Business | 3 | 
| Midsize Enterprise | 1 | 
| Large Enterprise | 12 | 










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
Apache Flink Benefits
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.”
PubSub+ Platform is designed for real-time message publishing and outstanding interoperability. With features like intuitive administration and topic filtering, it offers both stability and high performance for scalable deployments across diverse scenarios.
PubSub+ Platform enhances data integration with its event mesh and seamless protocol compatibility, providing a comprehensive solution for organizations tracking shipments, generating reports, and managing transactions. Its granular topic filtering and WAN optimization ensure high utility in event-driven applications and cloud deployments. Users highlight the platform's intuitive administration and ease of management, though some seek improved integration with third-party tools and enhanced observability. Concerns include scalability for large payloads and training resource availability. Despite its interface complexity, PubSub+ remains valuable for trading and market data distribution.
What are the key features of PubSub+ Platform?PubSub+ Platform is widely implemented for asynchronous messaging in industries like finance for trading and market data, logistics for shipment tracking, and tech operations management. It enables companies to modernize applications while ensuring data accuracy and efficiency across global systems.
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