Key differences and features

DataStream 2 is designed to scale and support data delivery for all requests on the Akamai platform, going beyond the limitations of DataStream 1. Check this section to learn about the key differences between both products, including the available destinations, data set fields you can log, and other enhancements.

Since DataStream 2 is under active development and new features are introduced, you can also check the DataStream release notes to stay up to date on new features or go to Features and use cases.

DataStream 2 is also included with content delivery and comes with no additional charge. It is still under active development, which means there are features that have not yet been implemented in DataStream 2.


While DataStream 1 allows for multiple destinations for one stream and supports streams with no destination, DataStream 2 requires one destination per stream. Here are the connectors you can use as destinations to send logs in DataStream 1 and DataStream 2:

Supported in DataStream 1

Supported in DataStream 1

• Amazon S3
• custom HTTPS endpoint
• Datadog
• DataStream buffer
• Splunk
• Sumo Logic

Amazon S3
Azure Storage
custom HTTPS endpoint
Google Cloud Storage
Oracle Cloud
Sumo Logic


Some products supported by DataStream 1 may not be supported in DataStream 2. Check Features and use cases for the list of products that support log streaming after migration. Additionally, DataStream 2 requires that the stream monitors properties that belong to the same product. In case you want to monitor different products, you should create separate streams for different products.

Data set fields and log formats

DataStream 2 allows you to log data for various data sets, including cache, geolocation, message exchange, and request header data, as well as custom data fields. You can stream data to the destinations of your choice in structured (space-delimited) or JSON log files.

See Data set parameters and Log custom parameters for the complete list of data fields supported in DataStream 2, and Data set fields for the comparison between DataStream 1 and 2.

Other enhancements

Low latency aggregated data

Akamai understands customers need more than just raw data, and low latency metrics are essential for monitoring. In order to provide consistent, high quality aggregated data with low latency, we are making significant improvements to the reporting experience by leveraging the same log processing infrastructure as DataStream 2.

Using third-party cloud destinations, customers may also leverage DataStream 2 raw logs to build their own aggregated reports, which provide additional flexibility to capture the metrics that matter most to their business. See Stream logs to a destination for details.

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