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Apache Drill

Stacks71

Followers170

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Votes16

PgHero

Stacks12

Followers38

+ 1

Votes0

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Apache Drill vs PgHero: What are the differences?

What is Apache Drill? Schema-Free SQL Query Engine for Hadoop and NoSQL. Apache Drill is a distributed MPP query layer that supports SQL and alternative query languages against NoSQL and Hadoop data storage systems. It was inspired in part by Google's Dremel.

What is PgHero? Rails database insights made easy. Add the gem, get a dashboard with long running queries, cache hit rate, and more. Postgres performance insights made easy.

Apache Drill and PgHero can be categorized as "Database" tools.

Some of the features offered by Apache Drill are:

Low-latency SQL queries
Dynamic queries on self-describing data in files (such as JSON, Parquet, text) and MapR-DB/HBase tables, without requiring metadata definitions in the Hive metastore.
ANSI SQL

On the other hand, PgHero provides the following key features:

Live query stats
Available as a ruby gems
System stats for Amazon RDS

PgHero is an open source tool with 4.78K GitHub stars and 244 GitHub forks. Here's a link to PgHero's open source repository on GitHub.

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Pros of Apache Drill

Pros of PgHero

4
NoSQL and Hadoop
3
Free
3
Lightning speed and simplicity in face of data jungle
2
Well documented for fast install
1
SQL interface to multiple datasources
1
Nested Data support
1
Read Structured and unstructured data
1
V1.10 released - https://drill.apache.org/

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- No public GitHub repository available -

What is Apache Drill?

Apache Drill is a distributed MPP query layer that supports SQL and alternative query languages against NoSQL and Hadoop data storage systems. It was inspired in part by Google's Dremel.

What is PgHero?

Postgres performance insights made easy.

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What companies use Apache Drill?

What companies use PgHero?

See which teams inside your own company are using Apache Drill or PgHero.

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What tools integrate with Apache Drill?

What tools integrate with PgHero?

DbSchema

What are some alternatives to Apache Drill and PgHero?

Presto

Distributed SQL Query Engine for Big Data

Apache Spark

Spark is a fast and general processing engine compatible with Hadoop data. It can run in Hadoop clusters through YARN or Spark's standalone mode, and it can process data in HDFS, HBase, Cassandra, Hive, and any Hadoop InputFormat. It is designed to perform both batch processing (similar to MapReduce) and new workloads like streaming, interactive queries, and machine learning.

Apache Calcite

It is an open source framework for building databases and data management systems. It includes a SQL parser, an API for building expressions in relational algebra, and a query planning engine

Apache Impala

Impala is a modern, open source, MPP SQL query engine for Apache Hadoop. Impala is shipped by Cloudera, MapR, and Amazon. With Impala, you can query data, whether stored in HDFS or Apache HBase – including SELECT, JOIN, and aggregate functions – in real time.

Druid

Druid is a distributed, column-oriented, real-time analytics data store that is commonly used to power exploratory dashboards in multi-tenant environments. Druid excels as a data warehousing solution for fast aggregate queries on petabyte sized data sets. Druid supports a variety of flexible filters, exact calculations, approximate algorithms, and other useful calculations.

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Apache Drill vs PgHero

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Pros of Apache Drill

Pros of PgHero

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What is Apache Drill?

What is PgHero?

Need advice about which tool to choose?Ask the StackShare community!

What companies use Apache Drill?

What companies use PgHero?

Sign up to get full access to all the companiesMake informed product decisions

What tools integrate with Apache Drill?

What tools integrate with PgHero?

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