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Top 6 game changers from AWS that redefine streaming data
- AWS introduced over 50 new capabilities across its streaming services, significantly enhancing performance, scale, and cost-efficiency.
- Amazon MSK Express brokers offer up to three times more throughput than a comparable standard Apache Kafka broker, virtually unlimited storage, and 90% faster recovery from failures.
- Amazon Kinesis Data Streams On-Demand makes it uncomplicated for developers to stream gigabytes per second of data without managing capacity or servers.
- Amazon Data Firehose now supports seamless integration with Iceberg tables on Amazon S3.
- AWS's Kinesis Client Library (KCL) reduces compute costs to process streaming data.
- Real-time context can be brought to generative AI applications with Amazon MSK's blueprint.
- Kinesis Data Firehose supports capturing changes made in databases such as PostgreSQL and MySQL and replicating the updates to Iceberg tables on Amazon S3.
- Amazon Managed Service for Apache Flink now offers per-second billing, allowing customers to pay for what they use down to the nearest second.
- These advancements empower businesses to use real-time data more effectively, modernizing the way for the next generation of data-driven applications and analytics.
- Sai Maddali is a Senior Manager Product Management at AWS who leads the product team for Amazon MSK. Bill Crew is a Senior Product Marketing Manager.
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