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Apache Spark VS HeidiSQL

Compare Apache Spark VS HeidiSQL and see what are their differences

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Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

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.

HeidiSQL logo HeidiSQL

HeidiSQL is a powerful and easy client for MySQL, MariaDB, Microsoft SQL Server and PostgreSQL. Open source and entirely free to use.
  • Apache Spark Landing page
    Landing page //
    2021-12-31
  • HeidiSQL Landing page
    Landing page //
    2021-09-15

Apache Spark videos

+ Add

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

HeidiSQL videos

+ Add

[HeidiSQL] Main features review

More videos:

  • Review - Tutorial HeidiSQL with MariaDB and MySQL Part 5 Relation 2 tables and more
  • Tutorial - HeidiSQL Tutorial 05 :- How to Import and Export database in HeidiSQL

Category Popularity

0-100% (relative to Apache Spark and HeidiSQL)

Apache Spark

HeidiSQL

Databases
39 39%
Databases
61% 61
Big Data
100 100%
Big Data
0% 0
Database Management
0 0%
Database Management
100% 100
Data Dashboard
100 100%
Data Dashboard
0% 0

User comments

Share your experience with using Apache Spark and HeidiSQL. 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 Apache Spark and HeidiSQL

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

HeidiSQL Reviews

  1. very good and handy tool

    There was a need to work with the MS SQL database, but I did not want to install and understand the complex SQL Management Studio program, and this product turned out to be very easy to install and use. For more then 2 month i've used the tool haven't came across any issues.

    🏁 Competitors: SQL Server Management Studio
    👍 Pros:    Lightweight|Simple yet powerful and efficient tool|Many built-in features
    👎 Cons:    Nothing, so far
Top Ten MySQL GUI Tools
Navicat for MySQL is a powerful graphical interface that synchronizes your connection settings, models, and queries to the Navicat Cloud for automatic saving and sharing at any given time. Just like HeidiSQL, Navicat for MySQL has the ability to connect to a MySQL database through an SSH tunnel. It also offers workable data migration by providing comprehensive data format...
Source: www.databasejournal.com
Top 10 of Most Helpful MySQL GUI Tools
The existing database tools for MySQL are many, and you can always find the right solution. There are both free and paid solutions. While the freeware tools like HeidiSQL or the Workbench free edition provide the basic functionality to do quintessential jobs, database professionals often need additional options. In this aspect, we’d recommend turning to advanced toolsets...
Source: www.hforge.org
20 Best SQL Management Tools in 2020
HeidiSQL is another reliable SQL management tool. It is designed using the popular MySQL server, Microsoft SQL databases, and PostgreSQL. It allows users to browse and edit data, create and edit tables, views, triggers and scheduled events.
Source: www.guru99.com
Top 10 free database tools for sys admins 2019 Update
Nice post, I will be checking out a few of these tools. HeidiSQL http://www.heidisql.com/ definitely needs to be included.
Source: techtalk.gfi.com
10 Best MySQL GUI Tools
If you only need the essential functionality for your database development and/or your goal is to get familiar with MySQL databases and improve your skills, a freeware tool from one of those we mentioned would be a great choice – for example, HeidiSQL, the free edition of SQL Workbench, Sequel Pro if you’re working on Mac OS X, etc.
Source: codingsight.com

Social recommendations and mentions

Based on our record, Apache Spark seems to be more popular. It has been mentiond 56 times since March 2021. 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.

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 / 3 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 / 4 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 / 5 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 / 5 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 / 11 months ago
View more

HeidiSQL mentions (0)

We have not tracked any mentions of HeidiSQL yet. Tracking of HeidiSQL recommendations started around Mar 2021.

What are some alternatives?

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

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

DBeaver - DBeaver - Universal Database Manager and SQL Client.

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

MySQL Workbench - MySQL Workbench is a unified visual tool for database architects, developers, and DBAs.

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