Software Alternatives, Accelerators & Startups

Twilio Studio VS Google Cloud Dataproc

Compare Twilio Studio VS Google Cloud Dataproc and see what are their differences

Twilio Studio logo Twilio Studio

Accelerate your customer engagement roadmap

Google Cloud Dataproc logo Google Cloud Dataproc

Managed Apache Spark and Apache Hadoop service which is fast, easy to use, and low cost
  • Twilio Studio Landing page
    Landing page //
    2023-09-12
  • Google Cloud Dataproc Landing page
    Landing page //
    2023-10-09

Twilio Studio videos

Getting started integrating Spoke Phone and Twilio Studio

More videos:

  • Review - Explainer: Spoke vs. Twilio Flex vs. Twilio Studio
  • Review - Speed up your development process with Twilio Studio

Google Cloud Dataproc videos

Dataproc

Category Popularity

0-100% (relative to Twilio Studio and Google Cloud Dataproc)
Customer Support
100 100%
0% 0
Data Dashboard
0 0%
100% 100
Customer Engagement
100 100%
0% 0
Big Data
0 0%
100% 100

User comments

Share your experience with using Twilio Studio and Google Cloud Dataproc. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, Google Cloud Dataproc seems to be more popular. It has been mentiond 3 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.

Twilio Studio mentions (0)

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

Google Cloud Dataproc mentions (3)

  • Connecting IPython notebook to spark master running in different machines
    I have also a spark cluster created with google cloud dataproc. Source: about 1 year ago
  • Why we don’t use Spark
    Specifically, we heavily rely on managed services from our cloud provider, Google Cloud Platform (GCP), for hosting our data in managed databases like BigTable and Spanner. For data transformations, we initially heavily relied on DataProc - a managed service from Google to manage a Spark cluster. - Source: dev.to / about 2 years ago
  • Data processing issue
    With that, the best way to maximize processing and minimize time is to use Dataflow or Dataproc depending on your needs. These systems are highly parallel and clustered, which allows for much larger processing pipelines that execute quickly. Source: over 2 years ago

What are some alternatives?

When comparing Twilio Studio and Google Cloud Dataproc, you can also consider the following products

Froged - One click solution providing easy-to-use marketing, sales and support services to turn website visitors into happy customers.

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

Intercom on Customer Engagement - A book on how to create messages that drive engagement

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

Keep Your Friends Close - A free e-book about maximizing Customer Lifetime Value

HortonWorks Data Platform - The Hortonworks Data Platform is a 100% open source distribution of Apache Hadoop that is truly...