Best Product Analytics Software for GitHub

Mixpanel's mission is to increase innovation. Mixpanel is not only a company but also a service provider for businesses. Companies can use our engagement and analytics product to analyze how users interact, convert, retain, and engage with them in real-time on web, mobile, or smart devices. They can then use this data to improve their products and business. Mixpanel serves more than 26,000 companies in different industries worldwide, including Samsung, Twitter and BMW. Mixpanel is headquartered in San Francisco and has offices in New York City, Seattle, Austin. London, Paris, Barcelona, Paris, London, and Singapore.

Keen is a fully managed event streaming platform. Our real-time data pipeline, built on Apache Kafka, makes it easy to collect large amounts of event data. Keen's powerful REST APIs and SDKs allow you to collect event data from any device connected to the internet. Our platform makes it possible to securely store your data, reducing operational and delivery risks with Keen. Apache Cassandra's storage infrastructure ensures data is completely secure by transferring it via HTTPS and TLS. The data is then stored with multilayer AES encryption. Access Keys allow you to present data in an arbitrary way without having to re-architect or re-architect the data model. Role-based Access Control allows for completely customizable permission levels, down to specific queries or data points.

Mindfuel enables business and data teams to identify and prioritize the most significant use cases by assessing them in relation to company objectives and essential metrics. Facilitate a direct link between data and analytics products and business opportunities to improve decision-making processes and optimize resource distribution, guaranteeing that every product, from its initial idea to its implementation, showcases quantifiable value and influence on the business. Foster an environment of openness and strategic insight. Compile all available resources to enhance the discovery process and encourage the reuse of data products, ensuring consistent value creation and visibility throughout the entire journey from initial conception to final adoption, while also promoting collaboration among teams to drive innovation and efficiency.