2 repository-uri
Managed pipelines for moving data between SaaS applications and cloud storage or databases.
Distinct from Data Processing Applications: The candidates focus on hosting and processing applications, not the specific data movement flow between SaaS and cloud.
Explore 2 awesome GitHub repositories matching data & databases · SaaS Data Integration Flows. Refine with filters or upvote what's useful.
Boto3 is the AWS SDK for Python, providing a programmatic interface for managing and automating AWS cloud infrastructure and services. It serves as a cloud management API client and resource manager for provisioning, configuring, and scaling virtual servers, databases, and storage. The library enables the implementation of infrastructure-as-code through declarative templates and scripts, allowing for the deployment of identical resource stacks across multiple accounts and geographic regions. It also provides a framework for coordinating distributed workflows, serverless functions, and contain
Moves data between SaaS applications and cloud services via managed data flows.
Jitsu is an open-source customer data platform designed to orchestrate event data pipelines. It captures, transforms, and routes behavioral data from web and server sources into data warehouses and analytics tools, providing a unified infrastructure for managing event streams. The platform distinguishes itself through its focus on self-hosted, containerized operations that grant users full control over their data security and privacy. It features a robust identity resolution engine that stitches disparate user identifiers into persistent profiles across sessions and devices, alongside program
A self-hosted infrastructure for managing data flows between various SaaS applications, SQL databases, and cloud storage services.