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Learn MorePros of Apache Drill
Pros of Sequel Pro
Pros of TablePlus
Pros of Apache Drill
- NoSQL and Hadoop4
- Free3
- Lightning speed and simplicity in face of data jungle3
- Well documented for fast install2
- SQL interface to multiple datasources1
- Nested Data support1
- Read Structured and unstructured data1
- V1.10 released - https://drill.apache.org/1
Pros of Sequel Pro
- Free25
- Simple18
- Clean UI17
- Easy8
Pros of TablePlus
- Great tool, sleek UI, run fast and secure connections5
- Free3
- Perfect for develop use2
- Security1
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Cons of Apache Drill
Cons of Sequel Pro
Cons of TablePlus
Cons of Apache Drill
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Cons of Sequel Pro
- Only available for Mac OS1
Cons of TablePlus
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- No public GitHub repository available -
- 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.
What is TablePlus?
TablePlus is a native app which helps you easily edit database data and structure. TablePlus includes many security features to protect your database, including native libssh and TLS to encrypt your connection.
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What companies use Apache Drill?
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What companies use TablePlus?
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What tools integrate with Apache Drill?
What tools integrate with Sequel Pro?
What tools integrate with TablePlus?
What tools integrate with Apache Drill?
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What are some alternatives to Apache Drill, Sequel Pro, and TablePlus?
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.