Why developers like Google Cloud Data Fusion

What 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 Big Data Tools category of a tech stack.

Explore Google Cloud Data Fusion's Story

Who uses Google Cloud Data Fusion?

Developers

25 developers on StackShare have stated that they use Google Cloud Data Fusion.

palmtree

My Stack

Arcvisions

Google Cloud Data Fusion Integrations

Google Cloud Storage

Google BigQuery

Pros of Google Cloud Data Fusion

Lower total cost of pipeline ownership

Decisions about Google Cloud Data Fusion

Here are some stack decisions, common use cases and reviews by companies and developers who chose Google Cloud Data Fusion in their tech stack.

Andrea Latorre

Jan 2, 2023 | 6 upvotes · 211.6K views

Needs advice

Google Cloud Dataflow

and

Google Cloud Data Fusion

I am currently launching 50 pipelines in a Google Cloud Data Fusion version 6.4 instance. These pipelines are launched daily and transport data from a MySQLServer database to Google BigQuery. The cost is becoming very high and I was wondering if the costs with Google Cloud Dataflow decrease for the same rows transported.

Vishal Yadav

Dec 26, 2022 | 6 upvotes · 212.9K views

Needs advice

AWS Glue

Google Cloud Dataflow

and

Google Cloud Data Fusion

Will Dataflow be the right replacement for AWS Glue? Are there any unforeseen exceptions like certain proprietary transformations not supported in Google Cloud Dataflow, connectors ecosystem, Data Quality & Date cleansing not supported in DataFlow. etc?

Also, how about Google Cloud Data Fusion as a replacement? In terms of No Code/Low code .. (Since basic use cases in Glue support UI, in that case, CDF may be the right choice ).

What would be the best choice?

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Google Cloud Data Fusion's Features

Code-free self-service
Collaborative data engineering
GCP-native
Enterprise-grade security
Integration metadata and lineage
Seamless operations
Comprehensive integration toolkit
Hybrid enablement

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.

Redis

Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache, and message broker. Redis provides data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes, and streams.

Amazon S3

Amazon Simple Storage Service provides a fully redundant data storage infrastructure for storing and retrieving any amount of data, at any time, from anywhere on the web

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