awesome-repositories.com
Blog
awesome-repositories.com

Descoperă cele mai bune repository-uri open source cu căutare AI.

ExploreazăCăutări recomandateAlternative open-sourceSoftware self-hostedBlogHartă site
ProiectDespreCum realizăm clasamentulPresăServer MCP
LegalConfidențialitateTermeni
© 2026 Bringes Technology SRL·VAT RO45896025·hello@awesome-repositories.com
·

2 repository-uri

Awesome GitHub RepositoriesSaaS Data Integration Flows

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.

Awesome SaaS Data Integration Flows GitHub Repositories

Găsește cele mai bune repo-uri cu AI.Vom căuta cele mai potrivite repository-uri folosind AI.
  • boto/boto3Avatar boto

    boto/boto3

    9,834Vezi pe GitHub↗

    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.

    Pythonawsaws-sdkcloud
    Vezi pe GitHub↗9,834
  • jitsucom/jitsuAvatar jitsucom

    jitsucom/jitsu

    4,782Vezi pe GitHub↗

    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.

    TypeScriptbigqueryclickhousedata-collection
    Vezi pe GitHub↗4,782
  1. Home
  2. Data & Databases
  3. SaaS Data Integration Flows