Software Alternatives & Reviews

Google Cloud Dataflow VS Apache NiFi

Compare Google Cloud Dataflow VS Apache NiFi and see what are their differences

Google Cloud Dataflow logo Google Cloud Dataflow

Google Cloud Dataflow is a fully-managed cloud service and programming model for batch and streaming big data processing.

Apache NiFi logo Apache NiFi

An easy to use, powerful, and reliable system to process and distribute data.
  • Google Cloud Dataflow Landing page
    Landing page //
    2023-10-03
  • Apache NiFi Landing page
    Landing page //
    2019-01-17

Google Cloud Dataflow

Categories
  • Big Data
  • Data Dashboard
  • Data Warehousing
  • Data Management
Website cloud.google.com
Details $-

Apache NiFi

Categories
  • Analytics
  • Web Analytics
  • Mobile Analytics
  • Workflow Automation
  • Web Service Automation
  • Automation
Website nifi.apache.org
Details $

Google Cloud Dataflow videos

Introduction to Google Cloud Dataflow - Course Introduction

More videos:

  • Review - Serverless data processing with Google Cloud Dataflow (Google Cloud Next '17)
  • Review - Apache Beam and Google Cloud Dataflow

Apache NiFi videos

Forget Duplicating Local Changes: Apache NiFi and the Flow Development Lifecycle (FDLC)

Category Popularity

0-100% (relative to Google Cloud Dataflow and Apache NiFi)
Big Data
100 100%
0% 0
Analytics
0 0%
100% 100
Data Dashboard
100 100%
0% 0
Data Integration
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Google Cloud Dataflow and Apache NiFi

Google Cloud Dataflow Reviews

We have no reviews of Google Cloud Dataflow yet.
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Apache NiFi Reviews

11 Best FREE Open-Source ETL Tools in 2024
Apache NiFi allows you to automate and manage the flow of information systems. It also enables NiFi to be an effective platform for building scalable and powerful dataflows. NiFi follows the fundamental concept of Flow-Based Programming. It has a highly configurable web-based UI, and houses features such as Data Provenance, Extensibility, and Security features.
Source: hevodata.com
15 Best ETL Tools in 2022 (A Complete Updated List)
Apache Nifi simplifies the data flow between various systems using automation. The data flows consist of processors and a user can create their own processors. These flows can be saved as templates and later can be integrated with more complex flows. These complex flows can then be deployed to multiple servers with minimal efforts.
Top 10 Popular Open-Source ETL Tools for 2021
Apache NiFi allows you to automate and manage the flow of information systems. It also enables NiFi to be an effective platform for building scalable and powerful dataflows. NiFi follows the fundamental concept of Flow-Based Programming. It has a highly configurable web-based UI, and houses features such as Data Provenance, Extensibility, and Security features.
Source: hevodata.com

Social recommendations and mentions

Apache NiFi might be a bit more popular than Google Cloud Dataflow. We know about 16 links to it since March 2021 and only 14 links to Google Cloud Dataflow. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Google Cloud Dataflow mentions (14)

  • How do you implement CDC in your organization
    Imo if you are using the cloud and not doing anything particularly fancy the native tooling is good enough. For AWS that is DMS (for RDBMS) and Kinesis/Lamba (for streams). Google has Data Fusion and Dataflow . Azure hasData Factory if you are unfortunate enough to have to use SQL Server or Azure. Imo the vendored tools and open source tools are more useful when you need to ingest data from SaaS platforms, and... Source: about 1 year ago
  • Here’s a playlist of 7 hours of music I use to focus when I’m coding/developing. Post yours as well if you also have one!
    This sub is for Apache Beam and Google Cloud Dataflow as the sidebar suggests. Source: over 1 year ago
  • How are view/listen counts rolled up on something like Spotify/YouTube?
    I am pretty sure they are using pub/sub with probably a Dataflow pipeline to process all that data. Source: over 1 year ago
  • Best way to export several GCP datasets to AWS?
    You can run a Dataflow job that copies the data directly from BQ into S3, though you'll have to run a job per table. This can be somewhat expensive to do. Source: over 1 year ago
  • Why we don’t use Spark
    It was clear we needed something that was built specifically for our big-data SaaS requirements. Dataflow was our first idea, as the service is fully managed, highly scalable, fairly reliable and has a unified model for streaming & batch workloads. Sadly, the cost of this service was quite large. Secondly, at that moment in time, the service only accepted Java implementations, of which we had little knowledge... - Source: dev.to / almost 2 years ago
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Apache NiFi mentions (16)

  • Ask HN: What low code platforms are worth using?
    Apache NIFI (https://nifi.apache.org/). It uses the concept of Flow-based programming. Also its so underacknolged but this tool is very flexible. I have used as an Event Bus all the 3rd-Party Integrations. - Source: Hacker News / 6 months ago
  • Help with choosing techstack for a new DE team
    Presently setting up Apache Nifi + Apache MiNiFi for the ETL portion of my work. NiFi was easy enough to figure out; but the docs for MiNiFi have been a pain due to differences between the Java and C++ versions. I then entirely configured it with the Java version so that it was easier to search for answers for the MiNiFi yaml syntax. Source: 9 months ago
  • Json splitting and Rerouting (new to nifi)
    NIFI, like most Apache projects does most of its discussion on its mailing lists, but also has a slack. Source: 11 months ago
  • Recommend ETL tool in Linux
    You might want to give a tool like nifi a try: Https://nifi.apache.org/. Source: 11 months ago
  • Anki shared decks for Clickhouse and Apache Nifi
    Recently I got a job at a new company and now I need to learn about Clickhouse, Docker, Apache Nifi and Kafka. I've found the decks about Docker and Kafka, but I can't find ones about Clickhouse and Nifi. Https://clickhouse.com/docs/en/intro Https://nifi.apache.org/. Source: 12 months ago
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What are some alternatives?

When comparing Google Cloud Dataflow and Apache NiFi, you can also consider the following products

Google BigQuery - A fully managed data warehouse for large-scale data analytics.

StatCounter - StatCounter is a simple but powerful real-time web analytics service that helps you track, analyse and understand your visitors so you can make good decisions to become more successful online.

Amazon EMR - Amazon Elastic MapReduce is a web service that makes it easy to quickly process vast amounts of data.

Histats - Start tracking your visitors in 1 minute!

Databricks - Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.‎What is Apache Spark?

AFSAnalytics - AFSAnalytics.