Simplify Stream Processing with Serverless
Apache Flink®
Seamless Integration for Real-time Insights with Confluent
What is Apache Flink?
Apache Flink, an open-source framework designed for distributed processing, excels in handling both unbounded (streams) and bounded (batches) data sets. With seamless stream processing, data flows smoothly, ensuring uninterrupted operation and swift handling of incoming data. Engineered for efficiency, it performs computations in memory, enhancing reliability by removing single points of failure and enabling horizontal scaling.
Apache Flink's advanced state management ensures 'exactly-once' consistency and adept handling of out-of-order and delayed data with its event-time processing. Primarily geared for streaming, it offers a unified programming interface that seamlessly merges stream and batch processing.
Discover What Apache Flink Offers
Apache Flink serves as the cornerstone for a diverse array of streaming and batch applications, owing to its extensive feature set. Here are some common application types empowered by Apache Flink:
Event-driven Applications
These applications leverage Apache Flink to ingest events from various streams, executing computations, state updates, or external actions. With stateful processing, these applications transcend basic Single Message Transformation (SMT), enabling logic that depends on the historical sequence of events.
Data Analytics Applications
Apache Flink revolutionises traditional data analytics by extracting insights and information in real time. Unlike traditional approaches that query finite datasets, Apache Flink empowers continuous analysis by streaming queries and processing ingested events on the fly, ensuring up-to-date results.
Data Pipelines Applications
With Apache Flink, data pipelines undergo a paradigm shift. Instead of the conventional extract-transform-load (ETL) process executed periodically in batches, Apache Flink enables continuous data transformation and enrichment, ensuring low-latency movement to their destination.
Apache Flink Benefits
The key use cases for adopting Apache Flink:
Process Both Unbounded (Streams) and Bounded (Batches) Data Sets
Running Applications at Scale
In-Memory Performance
Exactly-Once State Consistency
Wide Range of Connectors
Multiple Levels of Abstraction
How can we help?
Get started today with Confluent’s cloud-native, serverless Apache Flink service to accelerate your data processing workflows across multiple cloud environments.
Somerford and Confluent Partnership
Somerford Associates partners with Confluent to fast-track your migration journey to Confluent.
With our seamless end-to-end service and certified Confluent expertise, we ensure smooth digital transformations, from design to deployment to ongoing support.
Our customers include top-tier businesses in the FTSE 100, and FTSE 250, as well as the most secure divisions of the Public Sector and Defence.
Somerford were winners of 'Partner Innovative Solution of the Year (EMEA)' in the Confluent Partner Awards 2023.
Somerford were winners of 'Partner Innovative Solution of the Year (EMEA)' in the Confluent Partner Awards 2023.
Additional Resources
Apache Flink and Confluent: The Use Cases and Benefits of Integration with Confluent’s Data Streaming Platform
Confluent Migration Accelerator Programme
Learn about all the features and intricacies of this new programme in our latest blog post.
Why Confluent and What is it Used for?
Confluent Cloud and Kafka Explained | Technology Podcast
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