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Sequel Pro VS Apache Spark

Compare Sequel Pro VS Apache Spark and see what are their differences

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Sequel Pro logo Sequel Pro

MySQL database management for Mac OS X

Apache Spark logo Apache Spark

Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.
  • Sequel Pro Landing page
    Landing page //
    2023-08-03
  • Apache Spark Landing page
    Landing page //
    2021-12-31

Sequel Pro videos

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What is Sequel Pro

More videos:

  • Review - Controlling your Databases with Sequel Pro, Part 2: Connecting and Creating a Database

Apache Spark videos

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Weekly Apache Spark live Code Review -- look at StringIndexer multi-col (Scala) & Python testing

More videos:

  • Review - What's New in Apache Spark 3.0.0
  • Review - Apache Spark for Data Engineering and Analysis - Overview

Category Popularity

0-100% (relative to Sequel Pro and Apache Spark)

Sequel Pro

Apache Spark

MySQL Tools
100 100%
MySQL Tools
0% 0
Databases
48 48%
Databases
52% 52
Database Management
100 100%
Database Management
0% 0
Big Data
0 0%
Big Data
100% 100

User comments

Share your experience with using Sequel Pro and Apache Spark. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare Sequel Pro and Apache Spark

Sequel Pro Reviews

15 Best MySQL GUI Clients for macOS
Sequel Pro is a completely free and open-source MySQL database manager that delivers the basic functionality for data management. If you need a simple tool to handle queries in multiple MySQL databases, this might be it.
Source: blog.devart.com
Top Ten MySQL GUI Tools
Sequel Pro is a widely used tool for open-source relational database environments on remote and local servers. Native to only macOS X, Sequel Pro works with cloud providers while performing table creation, customer queries, and syntax highlighting.
Source: www.databasejournal.com
Top 10 of Most Helpful MySQL GUI Tools
A freeware Mac OS-based tool for MySQL databases, Sequel Pro performs all fundamental tasks. Users can create, modify, filter, and delete databases and tables, write and execute queries, import and export data, etc. The tool is compatible with Mac OS X only, which is inconvenient for those users who prefer other OS platforms.
Source: www.hforge.org
20 Best SQL Management Tools in 2020
Sequel Pro is a fast, easy-to-use database management tool for working with MySQL. This SQL management tool helpful for interacting with your database. It is also easy to add new databases, add new tables, add new rows, and any other type of databases using this software.
Source: www.guru99.com
10 Best MySQL GUI Tools
Sequel Pro is a free MySQL database management tool which allows performing all basic tasks such as adding, modifying, removing, browsing, and filtering databases, tables, and records, running queries, and more. While other MySQL tools we looked at are available for Windows and other OS, Sequel Pro will only work on Mac OS X. This tool is the successor of the CocoaMySQL...
Source: codingsight.com

Apache Spark Reviews

15 data science tools to consider using in 2021
Apache Spark is an open source data processing and analytics engine that can handle large amounts of data -- upward of several petabytes, according to proponents. Spark's ability to rapidly process data has fueled significant growth in the use of the platform since it was created in 2009, helping to make the Spark project one of the largest open source communities among big...
Source: searchbusinessanalytics.techtarget.com
Top 15 Kafka Alternatives Popular In 2021
Apache Spark is a well-known, general-purpose, open-source analytics engine for large-scale, core data processing. It is known for its high-performance quality for data processing – batch and streaming with the help of its DAG scheduler, query optimizer, and engine. Data streams are processed in real-time and hence it is quite fast and efficient. Its machine learning...
Source: www.spec-india.com
5 Best-Performing Tools that Build Real-Time Data Pipeline
Apache Spark is an open-source and flexible in-memory framework which serves as an alternative to map-reduce for handling batch, real-time analytics and data processing workloads. It provides native bindings for the Java, Scala, Python, and R programming languages, and supports SQL, streaming data, machine learning and graph processing. From its beginning in the AMPLab at...
Source: www.analyticsinsight.net

Social recommendations and mentions

Based on our record, Apache Spark seems to be a lot more popular than Sequel Pro. While we know about 56 links to Apache Spark, we've tracked only 2 mentions of Sequel Pro. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Sequel Pro mentions (2)

  • Lol! Developer got no chill!
    Check out https://sequelpro.com/ Completely free and, imo, better than TP. Source: over 1 year ago
  • User friendly GUI for OSX
    Doing some Googling Sequel Pro looks very promising as well as Navicat. Ideally something FOSS or at least free, but willing to pay if needed. Source: almost 3 years ago

Apache Spark mentions (56)

  • Groovy 🎷 Cheat Sheet - 01 Say "Hello" from Groovy
    Recently I had to revisit the "JVM languages universe" again. Yes, language(s), plural! Java isn't the only language that uses the JVM. I previously used Scala, which is a JVM language, to use Apache Spark for Data Engineering workloads, but this is for another post 😉. - Source: dev.to / about 2 months ago
  • 🦿🛴Smarcity garbage reporting automation w/ ollama
    Consume data into third party software (then let Open Search or Apache Spark or Apache Pinot) for analysis/datascience, GIS systems (so you can put reports on a map) or any ticket management system. - Source: dev.to / 3 months ago
  • Go concurrency simplified. Part 4: Post office as a data pipeline
    Also, this knowledge applies to learning more about data engineering, as this field of software engineering relies heavily on the event-driven approach via tools like Spark, Flink, Kafka, etc. - Source: dev.to / 4 months ago
  • Five Apache projects you probably didn't know about
    Apache SeaTunnel is a data integration platform that offers the three pillars of data pipelines: sources, transforms, and sinks. It offers an abstract API over three possible engines: the Zeta engine from SeaTunnel or a wrapper around Apache Spark or Apache Flink. Be careful, as each engine comes with its own set of features. - Source: dev.to / 4 months ago
  • Spark – A micro framework for creating web applications in Kotlin and Java
    A JVM based framework named "Spark", when https://spark.apache.org exists? - Source: Hacker News / 10 months ago
View more

What are some alternatives?

When comparing Sequel Pro and Apache Spark, you can also consider the following products

DBeaver - DBeaver - Universal Database Manager and SQL Client.

Apache Flink - Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.

phpMyAdmin - phpMyAdmin is a tool written in PHP intended to handle the administration of MySQL over the Web.

Apache Airflow - Airflow is a platform to programmaticaly author, schedule and monitor data pipelines.

DataGrip - Tool for SQL and databases

Hadoop - Open-source software for reliable, scalable, distributed computing

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