![]() Routing related records to the same record processor (as in streaming MapReduce).We recommend Amazon Kinesis Data Streams for use cases with requirements that are similar to the following: Q: When should I use Amazon Kinesis Data Streams, and when should I use Amazon SQS? Amazon SQS lets you easily move data between distributed application components and helps you build applications in which messages are processed independently (with message-level ack/fail semantics), such as automated workflows. The Kinesis Client Library (KCL) delivers all records for a given partition key to the same record processor, making it easier to build multiple applications reading from the same Kinesis stream (for example, to perform counting, aggregation, and filtering).Īmazon Simple Queue Service (Amazon SQS) offers a reliable, highly scalable hosted queue for storing messages as they travel between computers. It provides ordering of records, as well as the ability to read and/or replay records in the same order to multiple Kinesis Applications. Q: How does Amazon Kinesis Data Streams differ from Amazon SQS?Īmazon Kinesis Data Streams enables real-time processing of streaming big data. Each shard can support up to 1000 PUT records per second.įor more information about other API level limits, see Kinesis Data Streams Limits.The maximum size of a data blob (the data payload before Base64-encoding) within one record is 1 megabyte (MB).Records of a stream are accessible for up to 24 hours by default, and optionally up to 365 days from the time they are added to the stream.However, there are certain limits you should keep in mind while using Amazon Kinesis Data Streams: The throughput of a Kinesis stream is designed to scale without limits via increasing the number of shards within a stream. Q: What are the limits of Kinesis Streams? Building your Kinesis Applications to read and process data from your stream, using either Kinesis Data Streams API or Kinesis Client Library (KCL).Configuring your data producers to continuously add data to your stream.Creating a Kinesis stream through either Kinesis Data Streams Management Console or CreateStream operation.In this scenario, one or more Kinesis Applications can add data to another Kinesis stream for further processing, enabling successive stages of stream processing.Īfter you sign up for Amazon Web Services, you can start using Kinesis Streams by: ![]() Complex stream processing: You can create Directed Acyclic Graphs (DAGs) of Kinesis Applications and data streams.For example, you can add clickstreams to your Kinesis stream and have your Kinesis Application run analytics in real time, enabling you to gain insights out of your data at a scale of minutes instead of hours or days. Real-time data analytics: With Amazon Kinesis Data Streams, you can run real-time streaming data analytics.For example, your Kinesis Application can work on metrics and reporting for system and application logs as the data is streaming in, rather than wait to receive data batches. Real-time metrics and reporting: You can extract metrics and generate reports from Kinesis stream data in real-time.For example, system and application logs can be continuously added to a stream and be available for processing within seconds. Accelerated log and data feed intake: Instead of waiting to batch up the data, you can have your data producers push data to a Kinesis stream as soon as the data is produced, preventing data loss in case of data producer failures.The following are typical scenarios for using Amazon Kinesis Data Streams: Q: What can I do with Amazon Kinesis Data Streams?Īmazon Kinesis Data Streams is useful for rapidly moving data off data producers and then continuously processing the data, be it to transform the data before emitting to a data store, run real-time metrics and analytics, or derive more complex data streams for further processing. In addition, Amazon Kinesis Data Streams synchronously replicates data across three facilities in an Amazon Web Services Region, providing high availability and data durability. You do not have to worry about provisioning, deployment, ongoing-maintenance of hardware, software, or other services for your data streams. Q: What does Amazon Kinesis Data Streams manage on my behalf?Īmazon Kinesis Data Streams manages the infrastructure, storage, networking, and configuration needed to stream your data at the level of your data throughput. ![]() Within seconds, the data will be available for your Kinesis Applications to read and process from the stream. ![]() You can continuously add various types of data such as clickstreams, application logs, and social media to a Kinesis stream from hundreds of thousands of sources. Amazon Kinesis Data Streams is a fully managed streaming data service.
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