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Apache Drill VS Google Cloud Dataproc

Compare Apache Drill VS Google Cloud Dataproc and see what are their differences

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Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Apache Drill logo Apache Drill

Schema-Free SQL Query Engine for Hadoop and NoSQL

Google Cloud Dataproc logo Google Cloud Dataproc

Managed Apache Spark and Apache Hadoop service which is fast, easy to use, and low cost
  • Apache Drill Landing page
    Landing page //
    2023-06-17
  • Google Cloud Dataproc Landing page
    Landing page //
    2023-10-09

Apache Drill videos

+ Add

Using Apache Drill

More videos:

  • Review - Drilling into Data with Apache Drill
  • Review - Apache Drill and the Coolness of Big JSON - Jonathan Janos (MapR)

Google Cloud Dataproc videos

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Dataproc

Category Popularity

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

Apache Drill

Google Cloud Dataproc

Databases
100 100%
Databases
0% 0
Data Dashboard
0 0%
Data Dashboard
100% 100
Relational Databases
100 100%
Relational Databases
0% 0
Big Data
0 0%
Big Data
100% 100

User comments

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

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

Apache Drill mentions (3)

  • Git Query Language (GQL) Aggregation Functions, Groups, Alias
    Also are you familiar with apache drill . The idea is to put an SQL interpreter in front of any kind of database just like you are doing for git here. Source: 11 months ago
  • Roapi: An API Server for Static Datasets
    Looks super interesting and potentially useful. Curious how it compares with Apache Drill (https://drill.apache.org/). - Source: Hacker News / over 2 years ago
  • Does Java have an open source package that can execute SQL on txt/csv?
    Check out Apache Drill: https://drill.apache.org/. 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 / 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 Apache Drill and Google Cloud Dataproc, you can also consider the following products

Apache Calcite - Relational Databases

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

DataGrip - Tool for SQL and databases

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

PostgreSQL - PostgreSQL is a powerful, open source object-relational database system.

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

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