Software Alternatives, Accelerators & Startups

Q-Stats VS Google Cloud Dataflow

Compare Q-Stats VS Google Cloud Dataflow and see what are their differences

Q-Stats logo Q-Stats

Get free marketing insights for every question on Quora.

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.
  • Q-Stats Landing page
    Landing page //
    2022-09-11

Follow consumer traffic and key metrics for any question on Q&A websites like Quora, including Opportunity ranking, Total views, Monthly views, Related topics, and more.

Powered by Q-Answers, Q-Stats will navigate you through Q&A websites like Quora and help place you into the conversations of your target audience.

  • Google Cloud Dataflow Landing page
    Landing page //
    2023-10-03

Q-Stats features and specs

  • Opportunity Ranking: Don’t waste your time. Our deeply integrated algorithm gives you a rating from 1-5 stars about the potential opportunity in answering a question.
  • Total Views : See how many people viewed the question since it was published.
  • Answers: See how many people responded to the question you're interested in.
  • Related Topics: Recognize the other topics that your potential clients may be interested in.
  • Avg. Monthly Views : Understand question trends by knowing the avg. monthly views.

Google Cloud Dataflow features and specs

No features have been listed yet.

Q-Stats videos

How Q-stats works

More videos:

  • Demo - What is Quora Marketing with Jonathan Kahn and how to achieve it
  • Review - Q-Stats 3.0 Product Video

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

Category Popularity

0-100% (relative to Q-Stats and Google Cloud Dataflow)
Productivity
100 100%
0% 0
Big Data
0 0%
100% 100
Chrome Extensions
100 100%
0% 0
Data Dashboard
0 0%
100% 100

User comments

Share your experience with using Q-Stats 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 Q-Stats and Google Cloud Dataflow

Q-Stats Reviews

We have no reviews of Q-Stats yet.
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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.

Q-Stats mentions (0)

We have not tracked any mentions of Q-Stats yet. Tracking of Q-Stats 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: almost 2 years 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: almost 2 years 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 Q-Stats and Google Cloud Dataflow, you can also consider the following products

Site Rank Data - View historical rank information of websites via time series charts.

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

HypeStat - HypeStat is free statistics and analytics service, where you can find information about every website.

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

Seoxan - check seo report for any website, alexa ranking, server information, meta tags, authority, page speed and more

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