Software Alternatives & Reviews

Keybase for Mobile VS Google Cloud Dataproc

Compare Keybase for Mobile VS Google Cloud Dataproc and see what are their differences

Keybase for Mobile logo Keybase for Mobile

End-to-end encryption messaging platform

Google Cloud Dataproc logo Google Cloud Dataproc

Managed Apache Spark and Apache Hadoop service which is fast, easy to use, and low cost
  • Keybase for Mobile Landing page
    Landing page //
    2021-10-13
  • Google Cloud Dataproc Landing page
    Landing page //
    2023-10-09

Keybase for Mobile videos

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Google Cloud Dataproc videos

Dataproc

Category Popularity

0-100% (relative to Keybase for Mobile and Google Cloud Dataproc)
Communication
100 100%
0% 0
Data Dashboard
0 0%
100% 100
Corporate Intranets
100 100%
0% 0
Big Data
0 0%
100% 100

User comments

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Social recommendations and mentions

Google Cloud Dataproc might be a bit more popular than Keybase for Mobile. We know about 3 links to it since March 2021 and only 3 links to Keybase for Mobile. 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.

Keybase for Mobile mentions (3)

  • Sharing secrets in a git repository using Keybase
    First, you will need an account and download the client, follow the instructions according to your operating system https://keybase.io/download. - Source: dev.to / over 1 year ago
  • 1.5m difference between life and death [GBU-39 stunt]
    Finally, while you don't actually need to have a remote repo, I recommend using Keybase for git hosting if you decide to set one up, it's free and has much more lax rules about filesize than GitHub does these days (did you know that GitHub now meters downloads from GitLFS? Downloads, not uploads... it's bad.). Source: about 2 years ago
  • Black walnut carved on a 6040 CNC with a tapered ball nose, it took 3 hours
    Download Keybase here and install. https://keybase.io/download 2. Make a free account, place only your new username and skip the rest like email and phone number SKIP THAT ALL RIGHT UPPER CORNER ( SKIP ) on keybase after install. 3. Go to left column in keybase that say TEAMS. 4. There are two buttons Click JOIN TEAM. 5. Typ there ( cnc_files4all ) and join it. 6. After that you provided to the team go to TEAM... Source: over 2 years ago

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 Keybase for Mobile and Google Cloud Dataproc, you can also consider the following products

Signal - Fast, simple & secure messaging. Privacy that fits in your pocket.

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

Keybase - Keybase will be a public directory of publicly auditable public keys.

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

Cryptomator - When it comes to saving your files on a cloud server, it is important to ensure the security of those files. Keeping your delicate files out of the wrong hands can save you a lot of time and hassle. Read more about Cryptomator.

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