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Google Cloud Data Fusion
ByGoogle Cloud Data FusionGoogle Cloud Data Fusion

Google Cloud Data Fusion

#173in Databases
Discussions2
Followers156
OverviewDiscussions2

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 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?

Apache Spark

Apache Spark

Spark is a fast and general processing engine compatible with Hadoop data. It can run in Hadoop clusters through YARN or Spark's standalone mode, and it can process data in HDFS, HBase, Cassandra, Hive, and any Hadoop InputFormat. It is designed to perform both batch processing (similar to MapReduce) and new workloads like streaming, interactive queries, and machine learning.

Splunk

Splunk

It provides the leading platform for Operational Intelligence. Customers use it to search, monitor, analyze and visualize machine data.

Apache Flink

Apache Flink

Apache Flink is an open source system for fast and versatile data analytics in clusters. Flink supports batch and streaming analytics, in one system. Analytical programs can be written in concise and elegant APIs in Java and Scala.

Amazon Athena

Amazon Athena

Amazon Athena is an interactive query service that makes it easy to analyze data in Amazon S3 using standard SQL. Athena is serverless, so there is no infrastructure to manage, and you pay only for the queries that you run.

Apache Hive

Apache Hive

Hive facilitates reading, writing, and managing large datasets residing in distributed storage using SQL. Structure can be projected onto data already in storage.

AWS Glue

AWS Glue

A fully managed extract, transform, and load (ETL) service that makes it easy for customers to prepare and load their data for analytics.

Google Cloud Data Fusion Integrations

Google Cloud Storage, Google BigQuery are some of the popular tools that integrate with Google Cloud Data Fusion. Here's a list of all 2 tools that integrate with Google Cloud Data Fusion.

Google Cloud Storage
Google Cloud Storage
Google BigQuery
Google BigQuery

Google Cloud Data Fusion Discussions

Discover why developers choose Google Cloud Data Fusion. Read real-world technical decisions and stack choices from the StackShare community.

Andrea Latorre
Andrea Latorre

Jan 2, 2023

Needs adviceonGoogle Cloud Data FusionGoogle Cloud Data FusionGoogle BigQueryGoogle BigQueryGoogle Cloud DataflowGoogle Cloud Dataflow

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.

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Vishal Yadav
Vishal Yadav

Dec 26, 2022

Needs adviceonAWS GlueAWS GlueGoogle Cloud DataflowGoogle Cloud DataflowGoogle Cloud Data FusionGoogle 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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