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Apache Drill
Apache Drill

28
38
+ 1
10
Sequel Pro
Sequel Pro

229
162
+ 1
63
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Apache Drill vs Sequel Pro: 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, Sequel Pro is detailed as "MySQL database management for Mac OS X". Sequel Pro is a fast, easy-to-use Mac database management application for working with MySQL databases.

Apache Drill and Sequel Pro 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, Sequel Pro provides the following key features:

  • Quickly filter and paginate table content
  • Fast, threaded UI
  • Document based connections — Save your connection and share it

"NoSQL and Hadoop" is the top reason why over 2 developers like Apache Drill, while over 21 developers mention "Free" as the leading cause for choosing Sequel Pro.

Sequel Pro is an open source tool with 6.73K GitHub stars and 591 GitHub forks. Here's a link to Sequel Pro'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 Sequel Pro?

Sequel Pro is a fast, easy-to-use Mac database management application for working with MySQL databases.
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      What tools integrate with Apache Drill?
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        What are some alternatives to Apache Drill and Sequel Pro?
        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.
        PostGIS
        PostGIS is a spatial database extender for PostgreSQL object-relational database. It adds support for geographic objects allowing location queries to be run in SQL.
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