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StickPoll VS MySQL

Compare StickPoll VS MySQL and see what are their differences

StickPoll logo StickPoll

Easiest and fastest way to create a poll. Stickpoll allows you to create an online poll in seconds!

MySQL logo MySQL

The world's most popular open source database
  • StickPoll Landing page
    Landing page //
    2023-04-19
  • MySQL Landing page
    Landing page //
    2022-06-17

StickPoll videos

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MySQL videos

MySQL IN 10 MINUTES (2020) | Introduction to Databases, SQL, & MySQL

More videos:

  • Review - A Review of MySQL Open Source Software

Category Popularity

0-100% (relative to StickPoll and MySQL)
Surveys
100 100%
0% 0
Databases
0 0%
100% 100
Form Builder
100 100%
0% 0
Relational Databases
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare StickPoll and MySQL

StickPoll Reviews

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MySQL Reviews

MariaDB Vs MySQL In 2019: Compatibility, Performance, And Syntax
MySQL: MySQL is an open-source relational database management system (RDBMS). Just like all other relational databases, MySQL uses tables, constraints, triggers, roles, stored procedures and views as the core components that you work with. A table consists of rows, and each row contains a same set of columns. MySQL uses primary keys to uniquely identify each row (a.k.a...
Source: blog.panoply.io
20+ MongoDB Alternatives You Should Know About
MySQL® is another feasible replacement. MySQL 5.7 and MySQL 8 have great support for JSON, and it continues to get better with every maintenance release. You can also consider MySQL Cluster for medium size sharded environments. You can also consider MariaDB and Percona Server for MySQL
Source: www.percona.com

Social recommendations and mentions

Based on our record, MySQL seems to be more popular. It has been mentiond 4 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.

StickPoll mentions (0)

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

MySQL mentions (4)

  • I have a recurring issue with a MySQL DB where I continually run out of disk space due to logs being filled. I've tried everything I can think of. Can anyone think of anything else I should try?
    So, I did a quick read through the mysql reference and found a bunch of flush related commands. I tried:. Source: about 1 year ago
  • MMORPG design resources
    MySQL: Any SQL or DB knock-off, really... mysql.com - mariadb.org - sqlite.org. Source: over 1 year ago
  • Probably a syntax error
    15 years and five strokes ago. I was a Unix sysadmin. ALthough I was never an actual programmer, I did maintenance/light enhancement for the organization's website, in php. Now, as self-administered cognative therapy, I'm going back to it. This is an evil HR application that uses the mysql.com employees sample database. The module below enables the evil HR end user to generate a list of the oldest workers so... Source: almost 3 years ago
  • An absolute nightmare with mysql 8.0.25
    I always use the packages from mysql.com, that way I don't have to deal with strange configuration stuff along those lines, but anyway, I'm afraid I'm out of ideas. Surely someone else would have run in to the same issue here though. Source: about 3 years ago

What are some alternatives?

When comparing StickPoll and MySQL, you can also consider the following products

poll.ly - your perfect partner to gather ideas and opinions in real time

PostgreSQL - PostgreSQL is a powerful, open source object-relational database system.

Engageform - Engageform: Ultimate tool for creating quizzes, surveys & polls...in a snap!

Microsoft SQL - Microsoft SQL is a best in class relational database management software that facilitates the database server to provide you a primary function to store and retrieve data.

Chacy - The simplest way to vote on ideas between friends

MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.