Google Cloud Dataflow

141
222
+ 1
3
Hadoop

1.8K
1.7K
+ 1
54
Add tool

Google Cloud Dataflow vs Hadoop: What are the differences?

Google Cloud Dataflow: A fully-managed cloud service and programming model for batch and streaming big data processing. Google Cloud Dataflow is a unified programming model and a managed service for developing and executing a wide range of data processing patterns including ETL, batch computation, and continuous computation. Cloud Dataflow frees you from operational tasks like resource management and performance optimization; Hadoop: Open-source software for reliable, scalable, distributed computing. The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage.

Google Cloud Dataflow belongs to "Real-time Data Processing" category of the tech stack, while Hadoop can be primarily classified under "Databases".

Hadoop is an open source tool with 9.27K GitHub stars and 5.78K GitHub forks. Here's a link to Hadoop's open source repository on GitHub.

According to the StackShare community, Hadoop has a broader approval, being mentioned in 237 company stacks & 127 developers stacks; compared to Google Cloud Dataflow, which is listed in 32 company stacks and 8 developer stacks.

Pros of Google Cloud Dataflow
Pros of Hadoop

Sign up to add or upvote prosMake informed product decisions

Sign up to add or upvote consMake informed product decisions

- No public GitHub repository available -

What is Google Cloud Dataflow?

Google Cloud Dataflow is a unified programming model and a managed service for developing and executing a wide range of data processing patterns including ETL, batch computation, and continuous computation. Cloud Dataflow frees you from operational tasks like resource management and performance optimization.

What is Hadoop?

The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage.
What companies use Google Cloud Dataflow?
What companies use Hadoop?

Sign up to get full access to all the companiesMake informed product decisions

What tools integrate with Google Cloud Dataflow?
What tools integrate with Hadoop?

Sign up to get full access to all the tool integrationsMake informed product decisions

Blog Posts

2
1205
Aug 28, 2019 at 3:10AM
https://img.stackshare.io/stack/505487/default_e35b8bd5e615e01dc9b420dbd2a444fcbaeff755.png logo

Segment

5
1742
What are some alternatives to Google Cloud Dataflow and Hadoop?
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.
Kafka
Kafka is a distributed, partitioned, replicated commit log service. It provides the functionality of a messaging system, but with a unique design.
Akutan
A distributed knowledge graph store. Knowledge graphs are suitable for modeling data that is highly interconnected by many types of relationships, like encyclopedic information about the world.
Apache Beam
It implements batch and streaming data processing jobs that run on any execution engine. It executes pipelines on multiple execution environments.
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.
See all alternatives
Interest over time
News about Google Cloud Dataflow
More news