Software Alternatives, Accelerators & Startups

LibreOffice - Base VS Google Cloud Dataproc

Compare LibreOffice - Base VS Google Cloud Dataproc and see what are their differences

LibreOffice - Base logo LibreOffice - Base

Base, database, database frontend, LibreOffice, ODF, Open Standards, SQL, ODBC

Google Cloud Dataproc logo Google Cloud Dataproc

Managed Apache Spark and Apache Hadoop service which is fast, easy to use, and low cost
  • LibreOffice - Base Landing page
    Landing page //
    2021-10-15
  • Google Cloud Dataproc Landing page
    Landing page //
    2023-10-09

LibreOffice - Base videos

LibreOffice Base (01) Create a Database, Create a Table

Google Cloud Dataproc videos

Dataproc

Category Popularity

0-100% (relative to LibreOffice - Base and Google Cloud Dataproc)
Databases
100 100%
0% 0
Data Dashboard
0 0%
100% 100
NoSQL Databases
100 100%
0% 0
Big Data
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare LibreOffice - Base and Google Cloud Dataproc

LibreOffice - Base Reviews

TOP best Microsoft Access replacement software for databases
LibreOffice Base has a host of handy features, including cross-database support for multi-user databases such as MySQL, Adabas D, Microsoft Access, and PostgreSQL. LibreOffice Base is probably an almost direct copy of Microsoft Access. Both are front-end database management tools.
Source: tipsmake.com

Google Cloud Dataproc Reviews

We have no reviews of Google Cloud Dataproc yet.
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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.

LibreOffice - Base mentions (0)

We have not tracked any mentions of LibreOffice - Base yet. Tracking of LibreOffice - Base 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 LibreOffice - Base and Google Cloud Dataproc, you can also consider the following products

Microsoft Office Access - Access is now much more than a way to create desktop databases. It’s an easy-to-use tool for quickly creating browser-based database applications.

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

My Visual Database - Using My Visual Database, you can create databases for invoicing, inventory, CRM, or any specific purpose.

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

MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.

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