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Apache Drill VS Hadoop

Compare Apache Drill VS Hadoop and see what are their differences

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  4. » Alternatives

Apache Drill logo Apache Drill

Schema-Free SQL Query Engine for Hadoop and NoSQL

Hadoop logo Hadoop

Open-source software for reliable, scalable, distributed computing
  • Apache Drill Landing page
    Landing page //
    2023-06-17
  • Hadoop Landing page
    Landing page //
    2021-09-17

Apache Drill videos

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Using Apache Drill

More videos:

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

Hadoop videos

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What is Big Data and Hadoop?

More videos:

  • Review - Product Ratings on Customer Reviews Using HADOOP.
  • Tutorial - Hadoop Tutorial For Beginners | Hadoop Ecosystem Explained in 20 min! - Frank Kane

Category Popularity

0-100% (relative to Apache Drill and Hadoop)

Apache Drill

Hadoop

Databases
26 26%
Databases
74% 74
Relational Databases
36 36%
Relational Databases
64% 64
Big Data
0 0%
Big Data
100% 100
Database Tools
100 100%
Database Tools
0% 0

User comments

Share your experience with using Apache Drill and Hadoop. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare Apache Drill and Hadoop

Apache Drill Reviews

We have no reviews of Apache Drill yet.
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Hadoop Reviews

A List of The 16 Best ETL Tools And Why To Choose Them
Companies considering Hadoop should be aware of its costs. A significant portion of the cost of implementing Hadoop comes from the computing power required for processing and the expertise needed to maintain Hadoop ETL, rather than the tools or storage themselves.
Source: www.datacamp.com
16 Top Big Data Analytics Tools You Should Know About
Hadoop is an Apache open-source framework. Written in Java, Hadoop is an ecosystem of components that are primarily used to store, process, and analyze big data. The USP of Hadoop is it enables multiple types of analytic workloads to run on the same data, at the same time, and on a massive scale on industry-standard hardware.
Source: www.analytixlabs.co.in
5 Best-Performing Tools that Build Real-Time Data Pipeline
Hadoop is an open-source framework that allows to store and process big data in a distributed environment across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage. Rather than relying on hardware to deliver high-availability, the library itself is...
Source: www.analyticsinsight.net

Social recommendations and mentions

Based on our record, Hadoop should be more popular than Apache Drill. It has been mentiond 15 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.

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: 10 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

Hadoop mentions (15)

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What are some alternatives?

When comparing Apache Drill and Hadoop, you can also consider the following products

Apache Calcite - Relational Databases

Apache Spark - Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.

DataGrip - Tool for SQL and databases

Apache Cassandra - The Apache Cassandra database is the right choice when you need scalability and high availability without compromising performance.

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

Apache Flink - Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.

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