Specification and Feature Overview

Data

A streaming API providing a stream of fully transformed request level Mapp tracked data within seconds of collection via Pixel (JavaScript), SDKs, or Tag Integration.

Format

Depending on their use case requirements, customers can choose between JSON or AVRO during activation.

Columns (Fields)

Access to all (>200) standard and custom (account specific) metrics and dimensions including category information, device information etc. Please refer to the full Record Contents tables for further reference.

Filters

Up to 15 filters can be used simultaneously. Currently only AND is supported to connect filters, but OR will be supported later. The number of filters can be changed on request.

Delivery

Mapp provides a public Kafka stream API to be connected with authentication. The connections will be encrypted using TLS 1.2.

Time

The time between the collection of the request and the associated event to be available in the respective topic is between 1 to 15 seconds. Additional latency up to a few seconds could be caused by infrastructural dependencies.

Processed

Processed Mapp tracked data will be available in the stream.

Frequency

Real-time

Failover

Customers could start consuming data from an offset within the data retention period if needed.

Retention

Number of data retention hours per package:

• Standard: 8 hours

• Advanced: 72 hours

• Expert: 168 hours

Please contact us to learn more.

Root Stream

By default, all activated accounts have a non-configurable/non-filterable root stream to access all available raw data.

Please note that the availability of metrics and dimensions is a moving target. That means that more standard as well as account-specific metrics and dimensions are added in future updates.

Custom Streams

Number of custom streams per package:

• Standard: 1

• Advanced: 3

• Expert: 5

Please contact us to learn more.

User Interface

The Data Streams Management user interface in the Mapp Intelligence Suite will be available for customers that have Data Streams activated, see Data Streams User Interface.