Purple Integrations

Activate customer journeys with complete visibility using infrastructure-as-code. Blotout's SDK provides companies with all the analytics and remarketing tools that they are used to. It also offers best-in-class privacy protection for company users. Blotout's SDK conforms to GDPR, CCPA, & COPPA. Blotout's SDK uses distributed edge computing on-device for analytics, messaging, and remarketing. It does not require any User Personal Data, Device IDs, or IP addresses. With 100% customer coverage, measure, attribute, optimize, activate, and optimize customer data. Only stack that combines offline, online and event data sources to give you complete customer coverage. To build loyalty and comply with the GDPR, establish a trusting data relationship with your customers.

Meltano offers the most flexibility in deployment options. You control your data stack from beginning to end. Since years, a growing number of connectors has been in production. You can run workflows in isolated environments and execute end-to-end testing. You can also version control everything. Open source gives you the power and flexibility to create your ideal data stack. You can easily define your entire project in code and work confidently with your team. The Meltano CLI allows you to quickly create your project and make it easy to replicate data. Meltano was designed to be the most efficient way to run dbt and manage your transformations. Your entire data stack can be defined in your project. This makes it easy to deploy it to production.

Singer explains how data extraction scripts called taps and data loading scripts called targets should communicate. This allows them to be used in any combination to move any data from any source to any destination. You can send data between web APIs, databases, files, queues, or just about any other type of data you can think of. Simple applications with pipes, called singer taps and targets, are all that's required. There are no daemons nor complicated plugins. Singer applications communicate with JSON which makes them easy to use and implement in any programming language. Singer supports JSON Schema, which allows for rich data types and rigid structures when required. Singer makes it easy for incremental extraction to be supported by Singer's state-preserving invocations.