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Apache Drill
Apache Drill

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pgcli
pgcli

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Apache Drill vs pgcli: What are the differences?

Developers describe Apache Drill as "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. On the other hand, pgcli is detailed as "Postgres CLI with autocompletion and syntax highlighting". This is a postgres client that does auto-completion and syntax highlighting.

Apache Drill and pgcli 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, pgcli provides the following key features:

  • Auto-completion as you type for SQL keywords as well as tables and columns in the database.
  • Syntax highlighting using Pygments.
  • Smart-completion (enabled by default) will suggest context-sensitive completion.

pgcli is an open source tool with 8.01K GitHub stars and 365 GitHub forks. Here's a link to pgcli's open source repository on GitHub.

- 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 pgcli?

This is a postgres client that does auto-completion and syntax highlighting.
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            What are some alternatives to Apache Drill and pgcli?
            Presto
            Presto is an open source distributed SQL query engine for running interactive analytic queries against data sources of all sizes ranging from gigabytes to petabytes.
            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
            Slick
            It is a modern database query and access library for Scala. It allows you to work with stored data almost as if you were using Scala collections while at the same time giving you full control over when a database access happens and which data is transferred.
            Sequel Pro
            Sequel Pro is a fast, easy-to-use Mac database management application for working with MySQL databases.
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