Google Cloud Data Fusion
Andrea Latorre
Jan 2, 2023
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Google Cloud Data Fusion
DatabasesWhat is Google Cloud Data Fusion?
A fully managed, cloud-native data integration service that helps users efficiently build and manage ETL/ELT data pipelines. With a graphical interface and a broad open-source library of preconfigured connectors and transformations, and more.
Google Cloud Data Fusion is a tool in the Databases category of a tech stack.
Key Features
Code-free self-serviceCollaborative data engineeringGCP-nativeEnterprise-grade securityIntegration metadata and lineageSeamless operationsComprehensive integration toolkitHybrid enablement
Google Cloud Data Fusion Pros & Cons
Pros of Google Cloud Data Fusion
- ✓Lower total cost of pipeline ownership
Cons of Google Cloud Data Fusion
No cons listed yet.
Google Cloud Data Fusion Alternatives & Comparisons
What are some alternatives to Google Cloud Data Fusion?
MySQL
The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.
PostgreSQL
PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.
MongoDB
MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.
