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Apache Drill

Apache Drill

Overview

What is Apache Drill?

Apache Drill is a schema-free query engine for use with NoSQL or Hadoop data or file storage systems and databases.

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Recent Reviews

TrustRadius Insights

Apache Drill has proven to be a versatile tool for data querying and analysis in various use cases. Users have found success in utilizing …
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Pricing

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What is Apache Drill?

Apache Drill is a schema-free query engine for use with NoSQL or Hadoop data or file storage systems and databases.

Entry-level set up fee?

  • No setup fee

Offerings

  • Free Trial
  • Free/Freemium Version
  • Premium Consulting/Integration Services

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Product Demos

Apache Drill and Google Sheets Demo

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Apache drill | Apache Spark Training |Spark webinar videos | Prwatech

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GSA D2D Demo with USCIS sample data, built with Python Flask, AWS EMR and Apache Drill

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Drill on the Anssr Platform

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Spotfire and Apache Drill Test Drive Demo | Big Data Analytics

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Tomer Shiran: Self Service Data Exploration with Apache Drill

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Product Details

What is Apache Drill?

Apache Drill Technical Details

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Mobile ApplicationNo
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Comparisons

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Reviews and Ratings

(6)

Community Insights

TrustRadius Insights are summaries of user sentiment data from TrustRadius reviews and, when necessary, 3rd-party data sources. Have feedback on this content? Let us know!

Apache Drill has proven to be a versatile tool for data querying and analysis in various use cases. Users have found success in utilizing Apache Drill to query Parquet files in the Hadoop ecosystem, such as those stored in HDFS. Additionally, Apache Drill has been employed in data aggregators, allowing users to combine data from different databases and formats and transform them into valuable information.

Users have also taken advantage of Apache Drill's capabilities to query Kafka tables and join data stored in HBase with Kafka, enabling seamless integration between different data sources. Furthermore, Apache Drill's ease of use when querying CSV files and passing the results to Spark has been praised by users. The configuration process for joining multiple systems, working with different file types such as JSON and .gz files, and creating consumption views has been reported as effortless by many users.

Apache Drill has demonstrated its effectiveness in pulling data from multiple stores like Oracle and MongoDB simultaneously, simplifying the process of data migration across various sources. Its easy configuration of plugins for Parquet files has made it a valuable component in open-source projects within the Hadoop ecosystem. Moreover, Apache Drill's ability to provide insights into customer buying patterns and behavior has assisted businesses with product positioning and service optimization.

The flexibility of Apache Drill's data model allows users to query any type of data from almost any type of source, making it a preferred choice for those with SQL knowledge when working with NoSQL databases. With support for additional engines and data sources compared to its competitors, Apache Drill has won over users who have tested and compared it to alternatives such as PrestoDB.

Overall, Apache Drill serves as a powerful tool that fulfills the needs of users across a range of industries for querying and analyzing diverse datasets from multiple sources effortlessly.

Accessibility: Apache Drill being an open-source tool has made it accessible to a wide range of users. Many reviewers have appreciated the fact that they can freely use the tool without any cost implications.

Easy installation: Reviewers have found the installation process for Apache Drill to be easy and straightforward. This user-friendly installation experience has been praised by many users who were able to get started with the tool quickly.

Versatility in data querying: The ability of Apache Drill to query a large amount of data from any source by enabling plugins has been seen as a valuable feature by many reviewers. This flexibility allows users to easily integrate different data sources and perform complex queries without having to learn multiple query languages.

Limitation on query capabilities: Some users have expressed dissatisfaction with the limitation of only being able to query using view and select statements in Apache Drill. They have mentioned a desire to be able to create databases and tables, which is currently not supported.

Performance issues in stand-alone mode: Several reviewers have suggested that the performance on stand-alone mode could be improved. They mention that caching layers like Trino or Presto would have been beneficial for enhancing the software's speed and efficiency.

Difficulty in quick start with single instance: Some users found the quick start with a single instance to be challenging. This initial setup process has posed difficulties for those trying to get started quickly and efficiently.

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