Open Source Analytics Stack: Bringing Control, Flexibility, and Data-Privacy to Your Analytics

1

Apache Superset

Open-source BI platforms such as Metabase (website, GitHub) and Apache SuperSet (website, GitHub) are easy to deploy without IT involvement. Metabase lets you build dashboards from the data in your warehouse easily, with no SQL, or, if you have data engineering or science know-how, inside more powerful and flexible notebooks or with SQL itself. Similarly, Apache SuperSet helps businesses explore and visualize data from simple line charts to detailed geospatial charts.

#Data Analysis And Visualization #Business Intelligence #Data Dashboard 59 social mentions

2

Snowplow

However, limitations to traditional CDPs, especially around connecting to best-of-breed customer tooling and exposing data for use across an organization have driven a new generation of non-CDPs. Solutions like Snowplow's (website, GitHub) data delivery platform and RudderStack's (website, GitHub) customer data platform for developers ingest data from a multitude of sources, apply in-stream transformations, and route data to your data warehouse, like Snowplow, or your warehouse plus your preferred customer tooling destinations for activation, like RudderStack.

#Web Analytics #Mobile Analytics #Business Intelligence 10 social mentions

3

RudderStack

However, limitations to traditional CDPs, especially around connecting to best-of-breed customer tooling and exposing data for use across an organization have driven a new generation of non-CDPs. Solutions like Snowplow's (website, GitHub) data delivery platform and RudderStack's (website, GitHub) customer data platform for developers ingest data from a multitude of sources, apply in-stream transformations, and route data to your data warehouse, like Snowplow, or your warehouse plus your preferred customer tooling destinations for activation, like RudderStack.

#Data Integration #Web Analytics #Business Intelligence 23 social mentions

4

PostHog

The self-hosted PostHog (website, GitHub) is an excellent open-source alternative for product analytics and can be easily integrated into your infrastructure. You can easily analyze how customers interact with your product, the user traffic, and ways to improve your user retention.

#Analytics #User Analytics #User Engagement 58 social mentions

5

Matomo

Matomo (website, GitHub) is an open-source web analytics tool and calls itself a Google Analytics alternative. Matomo gives you valuable insights into your website's visitors, marketing campaigns, etc., making it easy to optimize your strategy and online experience of your visitors.

#Analytics #Web Analytics #Privacy 86 social mentions

6

Apache Kafka

With the increase in real-time data streams and event streams, certain use cases emerged that require access to real-time data such as financial services risk reporting or detecting a credit card fraud. Real-time streams can be obtained using a stream processing framework like Apache Kafka (website, GitHub). The focus is to direct the stream of data from various sources into reliable queues where data can be automatically transformed, stored, analyzed and reported concurrently.

#Stream Processing #Data Integration #ETL 142 social mentions

7

Countly

Countly (website, GitHub) is also an open-source product analytics platform that is designed primarily for marketing organizations. It helps marketers track website information (website transactions, campaigns, and sources that led visitors to the website, etc.). Countly also collects real-time mobile analytics metrics like active users, time spent in-app, customer location, etc., in a unified view on your dashboard.

#Analytics #Product Analytics #Mobile Analytics 6 social mentions