Product roadmap - thebeansgroup/snowplow GitHub Wiki

Overview

The current release of Snowplow is 0.8.13. The planned roadmap for Snowplow is divided in two:

  1. Short term: a series of planned point releases - adding specific, mostly incremental features, tweaks and bug fixes to the core platform
  2. Longer term: an approximate schedule for new components and capabilities - setting out priorities and approximate timings for all-new Snowplow components and other ambitious new developments

We discuss each of these in turn below.

Short-term: planned releases

In this section we list out the series of 'point' releases (0.8.x, 0.8.y etc) that we have planned. This list is accurate as of early January 2014 - but we always recommend browsing the list of [Open Milestones] milestones on our main GitHub repository.

Warning: we may change this schedule as new priorities are identified and the community feeds back on our current plans. If you are particularly interested in a given task being completed per schedule (or even accelerated), please 'vote' for the ticket by leaving a "+1" comment or similar on the relevant ticket.

The planned releases are as follows:

Release Tickets Objective(s)
0.9.0 [See GitHub] issues-090 Adding initial support for Kinesis
0.9.1 [See GitHub] issues-091 Improvements (robustness, deployment, logging) to EmrEtlRunner and StorageLoader
0.9.2 [See GitHub] issues-092 New enrichments

Longer-term: approximate schedule

In this section we set out an approximate map of the new components and capabilities we want to add to Snowplow, segmented by sub-system and by time (aka priority).

Warning: this schedule is approximate, and the items on it are subject to change. If you are interested in a specific functionality listed here, feel free to Contact us to find out more about its likely path-to-release.

The longer-term schedule of major developments is approximately as follows:

Time Trackers Collectors Enrichment Storage Analytics
Q2 Android Tracker - Unstructured events ElasticSearch -
Q3 iOS Tracker - Thrift output Neo4j Machine learning
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