Software Alternatives, Accelerators & Startups
Register | Login

Google Cloud Dataproc VS Syndigo

Compare Google Cloud Dataproc VS Syndigo and see what are their differences

Preferred Patron
Preferred Patron is the top Customer Loyalty Software Program for businesses in any industry of any size. featured
Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Google Cloud Dataproc logo Google Cloud Dataproc

Managed Apache Spark and Apache Hadoop service which is fast, easy to use, and low cost

Syndigo logo Syndigo

Syndigo is an online management platform that provides access to the world’s biggest global content database of digital information.
  • Google Cloud Dataproc Landing page
    Landing page //
    2023-10-09
  • Syndigo Landing page
    Landing page //
    2023-08-27

Google Cloud Dataproc videos

+ Add

Dataproc

Syndigo videos

+ Add

Syndigo Content Experience Hub

More videos:

  • Review - Syndigo GDSN Overview
  • Review - Syndigo: A platform for greater transparency

Category Popularity

0-100% (relative to Google Cloud Dataproc and Syndigo)

Google Cloud Dataproc

Syndigo

Data Dashboard
69 69%
Data Dashboard
31% 31
Development
28 28%
Development
72% 72
Big Data
100 100%
Big Data
0% 0
Online Services
0 0%
Online Services
100% 100

User comments

Share your experience with using Google Cloud Dataproc and Syndigo. For example, how are they different and which one is better?
Log in or Post with

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.

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

Syndigo mentions (0)

We have not tracked any mentions of Syndigo yet. Tracking of Syndigo recommendations started around Aug 2021.

What are some alternatives?

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

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

Qrvey - Embedded Analytics built exclusively for SaaS applications.

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

DevicePilot - DevicePilot is a universal cloud-based software service allowing you to easily locate, monitor and manage your connected devices at scale.

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

AnswerRocket - AnswerRocket is a search-powered analytics that makes it possible to get answers from business data by asking natural language questions.

Loading...