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  1. Stackups
  2. Application & Data
  3. Databases
  4. Database Tools
  5. Druid vs Sequel Pro

Druid vs Sequel Pro

OverviewComparisonAlternatives

Overview

Sequel Pro
Sequel Pro
Stacks316
Followers366
Votes68
GitHub Stars9.2K
Forks838
Druid
Druid
Stacks377
Followers867
Votes32

Druid vs Sequel Pro: What are the differences?

Developers describe Druid as "Fast column-oriented distributed data store". 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. 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.

Druid and Sequel Pro are primarily classified as "Big Data" and "Database" tools respectively.

"Real Time Aggregations" is the top reason why over 3 developers like Druid, while over 21 developers mention "Free" as the leading cause for choosing Sequel Pro.

Druid and Sequel Pro are both open source tools. It seems that Druid with 8.32K GitHub stars and 2.08K forks on GitHub has more adoption than Sequel Pro with 6.73K GitHub stars and 589 GitHub forks.

According to the StackShare community, Sequel Pro has a broader approval, being mentioned in 46 company stacks & 23 developers stacks; compared to Druid, which is listed in 24 company stacks and 12 developer stacks.

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Detailed Comparison

Sequel Pro
Sequel Pro
Druid
Druid

Sequel Pro is a fast, easy-to-use Mac database management application for working with MySQL databases.

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.

Quickly filter and paginate table content;Fast, threaded UI;Document based connections — Save your connection and share it;Use windows or tabs — whichever works best for you;Navigator for connecting to servers and constructing queries
-
Statistics
GitHub Stars
9.2K
GitHub Stars
-
GitHub Forks
838
GitHub Forks
-
Stacks
316
Stacks
377
Followers
366
Followers
867
Votes
68
Votes
32
Pros & Cons
Pros
  • 25
    Free
  • 18
    Simple
  • 17
    Clean UI
  • 8
    Easy
Cons
  • 1
    Only available for Mac OS
Pros
  • 15
    Real Time Aggregations
  • 6
    Batch and Real-Time Ingestion
  • 5
    OLAP
  • 3
    OLAP + OLTP
  • 2
    Combining stream and historical analytics
Cons
  • 3
    Limited sql support
  • 2
    Joins are not supported well
  • 1
    Complexity
Integrations
MySQL
MySQL
Zookeeper
Zookeeper

What are some alternatives to Sequel Pro, Druid?

dbForge Studio for MySQL

dbForge Studio for MySQL

It is the universal MySQL and MariaDB client for database management, administration and development. With the help of this intelligent MySQL client the work with data and code has become easier and more convenient. This tool provides utilities to compare, synchronize, and backup MySQL databases with scheduling, and gives possibility to analyze and report MySQL tables data.

dbForge Studio for Oracle

dbForge Studio for Oracle

It is a powerful integrated development environment (IDE) which helps Oracle SQL developers to increase PL/SQL coding speed, provides versatile data editing tools for managing in-database and external data.

dbForge Studio for PostgreSQL

dbForge Studio for PostgreSQL

It is a GUI tool for database development and management. The IDE for PostgreSQL allows users to create, develop, and execute queries, edit and adjust the code to their requirements in a convenient and user-friendly interface.

dbForge Studio for SQL Server

dbForge Studio for SQL Server

It is a powerful IDE for SQL Server management, administration, development, data reporting and analysis. The tool will help SQL developers to manage databases, version-control database changes in popular source control systems, speed up routine tasks, as well, as to make complex database changes.

Apache Spark

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.

Liquibase

Liquibase

Liquibase is th leading open-source tool for database schema change management. Liquibase helps teams track, version, and deploy database schema and logic changes so they can automate their database code process with their app code process.

DBeaver

DBeaver

It is a free multi-platform database tool for developers, SQL programmers, database administrators and analysts. Supports all popular databases: MySQL, PostgreSQL, SQLite, Oracle, DB2, SQL Server, Sybase, Teradata, MongoDB, Cassandra, Redis, etc.

Presto

Presto

Distributed SQL Query Engine for Big Data

dbForge SQL Complete

dbForge SQL Complete

It is an IntelliSense add-in for SQL Server Management Studio, designed to provide the fastest T-SQL query typing ever possible.

Amazon Athena

Amazon Athena

Amazon Athena is an interactive query service that makes it easy to analyze data in Amazon S3 using standard SQL. Athena is serverless, so there is no infrastructure to manage, and you pay only for the queries that you run.

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