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Apache Drill

Apache Drill


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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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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What is Amazon DynamoDB?

Amazon DynamoDB is a cloud-native, NoSQL, serverless database service.

What is MarkLogic Server?

MarkLogic Server is a multi-model database that has both NoSQL and trusted enterprise data management capabilities. The vendor states it is the most secure multi-model database, and it’s deployable in any environment. They state it is an ideal database to power a data hub.

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Product Demos

Apache Drill and Google Sheets Demo


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


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


Drill on the Anssr Platform


Spotfire and Apache Drill Test Drive Demo | Big Data Analytics


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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Reviews and Ratings


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Companies can't remove reviews or game the system. Here's why
February 13, 2018

Apache Drill vs PrestoDB

Anson Abraham | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
Apache Drill was being used initially to evaluate running queries on data stored in multiple data stores (hDFS, postgres, cassandra). We were testing it out, over the use of PrestoDB. But saw that Drill also supported HBASE and other engines. it was from that aspect, used Drill to query data across the multiple datasources, as more ec2 instances were created, since some of the data was also stored in s3.
  • queries multiple data sources with ease.
  • supports sql, so non technical users who know sql, can run query sets
  • 3rd party tools, like tableau, zoom data and looker were able to connect with no issues
  • deployment. Not as easy
  • configuration isn't as straight forward, especially with the documentation
  • Garbage collection could be improved upon
if you're doing joins from hBASE, hdfs, cassandra and redis, then this works.
Using it as a be all end all does not suit it. This is not your straight forward magic software that works for all scenarios. One needs to determine the use case to see if Apache Drill fits the needs. 3/4 of the time, usually it does.
  • Configuration has taken some serious time out.
  • Garbage collection tuning. is a constant hassle. time and effort applied to it, vs dedicating resources elsewhere.
  • w/ sql support, reduces the need of devs to generate the resultset for analysts, when they can run queries themselves (if they know sql).
  • prestodb, impala and apache phoenix
compared to presto, has more support than prestodb.
Impala has limitations to what drill can support
apache phoenix only supports for hbase. no support for cassandra.
Apache drill was chosen, because of the multiple data stores that it supports htat the other 3 do not support. Presto does not support hbase as of yet. Impala does not support query to cassandra
if Presto comes up with more support (ie hbase, s3), then its strongly possible that we'll move from apache drill to prestoDB. However, Apache drill needs more configuration ease, especially when it comes to garbage collection tuning. If apache drill could support also sparkSQL and Flume, then it does change drill into being something more valuable than prestoDB
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