Data Lake for Enterprises

When to use Flink

Select Flink as your data processing technology when:

• You need high performance. Flink at the moment is one of the best in performance for stream processing.
• Your use case needs machine learning. Flink’s native closed loop iterations operators make the processing perform much faster.
• Your use case needs graph processing. Again, because of the preceding same feature, Flink will process data faster.
• You require high throughput rates with guaranteed consistency.
• You need exactly one time processing. This also eliminates duplicate record processing.
• You want to avoid handling memory manually and leave that to the framework. Flink has automatic memory management.
• You need to deal with intermediate results and Flink follows the ...