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Imply VS Google Cloud Dataproc

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

Agiliron
Omni-Channel SaaS Solution Suite for Retail, Wholesale & eCommerce businesses featured
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Imply logo Imply

Imply is a platform for real-time analytics and modern data applications, built from Apache Druid and delivered as a fully-managed DBaaS. Rapidly visualize and explore data with sub-second query response times.

Google Cloud Dataproc logo Google Cloud Dataproc

Managed Apache Spark and Apache Hadoop service which is fast, easy to use, and low cost
  • Imply Landing page
    Landing page //
    2023-07-30

  • Interactive analytics at any scale: Create a dynamic experience for your end users to rapidly visualize and explore data with sub-second query response times.
  • High concurrency at the best value: Power applications for any number of users with a highly efficient architecture that supports 100s to 100K+ queries per second.
  • Insights on streaming and batch data: Power applications that deliver continuous intelligence with native Kafka and AWS Kinesis integrations built for scale, low latency, and data quality.
  • Google Cloud Dataproc Landing page
    Landing page //
    2023-10-09

Imply videos

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Imply Cloud on AWS demonstration

More videos:

  • Review - Does The Xbox Series X Imply The End of Console Simplicity? | UnderDeveloped

Google Cloud Dataproc videos

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Dataproc

Category Popularity

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

Imply

Google Cloud Dataproc

Corporate Intranets
100 100%
Corporate Intranets
0% 0
Data Dashboard
0 0%
Data Dashboard
100% 100
Sales Tools
100 100%
Sales Tools
0% 0
Big Data
0 0%
Big Data
100% 100

User comments

Share your experience with using Imply 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.

Imply mentions (0)

We have not tracked any mentions of Imply yet. Tracking of Imply 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 / almost 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 Imply and Google Cloud Dataproc, you can also consider the following products

Inference - Inference is a body measurement tool using a short questionnaire to otely capture over 50 body measurements without a measuring tape.

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

FitFinder - ML powered size advisor for online shopping

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

Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.

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

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