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DataFox VS Google Cloud Dataflow

Compare DataFox VS Google Cloud Dataflow and see what are their differences

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Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

DataFox logo DataFox

Private company intelligence -- discover, diligence, and track over 350,000 private companies

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.
  • DataFox Landing page
    Landing page //
    2023-10-06
  • Google Cloud Dataflow Landing page
    Landing page //
    2023-10-03

DataFox videos

+ Add

DataFox Demo (May 2018) (I)

More videos:

  • Review - The Future of Sales feat. Eric Martin, Sr. Account Executive at DataFox

Google Cloud Dataflow videos

+ Add

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

Category Popularity

0-100% (relative to DataFox and Google Cloud Dataflow)

DataFox

Google Cloud Dataflow

Sales Tools
100 100%
Sales Tools
0% 0
Big Data
0 0%
Big Data
100% 100
Lead Generation
100 100%
Lead Generation
0% 0
Data Dashboard
0 0%
Data Dashboard
100% 100

User comments

Share your experience with using DataFox and Google Cloud Dataflow. For example, how are they different and which one is better?
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Reviews

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

DataFox Reviews

Top 13 ZoomInfo Alternatives
This ‘search engine’ provides accurate results based on relevant filters defined by users. Sales and marketing departments use this tool to do market research, competition research and gather important insights from the data they pull. DataFox will get you company data, contact information, signals, leads, and so on.
Source: taskdrive.com

Google Cloud Dataflow Reviews

Top 8 Apache Airflow Alternatives in 2024
Google Cloud Dataflow is highly focused on real-time streaming data and batch data processing from web resources, IoT devices, etc. Data gets cleansed and filtered as Dataflow implements Apache Beam to simplify large-scale data processing. Such prepared data is ready for analysis for Google BigQuery or other analytics tools for prediction, personalization, and other purposes.
Source: blog.skyvia.com

Social recommendations and mentions

Based on our record, Google Cloud Dataflow seems to be more popular. It has been mentiond 14 times since March 2021. 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.

DataFox mentions (0)

We have not tracked any mentions of DataFox yet. Tracking of DataFox recommendations started around Mar 2021.

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: over 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 / about 2 years ago
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What are some alternatives?

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

ZoomInfo - ZoomInfo is a B2B database providing detailed business information on people and companies.

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

DiscoverOrg - DiscoverOrg is an IT sales intelligence platform providing technology marketers access to data, IT org charts, and real time projects.

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

Clearbit - Clearbit provides Business Intelligence APIs

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

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