MySQL is a popular open-source relational and embedded database, now owned by Oracle.
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Redash
Score 7.5 out of 10
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Redash is a data visualization tool designed to allow users to connect and query any data sources, build dashboards to visualize data and share them with a company.
Databricks acquired Redash in June 2020.
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Pricing
MySQL
Redash
Editions & Modules
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Pricing Offerings
MySQL
Redash
Free Trial
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No
Free/Freemium Version
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No
Premium Consulting/Integration Services
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No
Entry-level Setup Fee
No setup fee
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Community Pulse
MySQL
Redash
Features
MySQL
Redash
BI Standard Reporting
Comparison of BI Standard Reporting features of Product A and Product B
MySQL
-
Ratings
Redash
6.9
4 Ratings
17% below category average
Pixel Perfect reports
00 Ratings
7.04 Ratings
Customizable dashboards
00 Ratings
7.84 Ratings
Report Formatting Templates
00 Ratings
5.84 Ratings
Ad-hoc Reporting
Comparison of Ad-hoc Reporting features of Product A and Product B
MySQL
-
Ratings
Redash
6.1
4 Ratings
27% below category average
Drill-down analysis
00 Ratings
5.84 Ratings
Formatting capabilities
00 Ratings
7.84 Ratings
Integration with R or other statistical packages
00 Ratings
2.73 Ratings
Report sharing and collaboration
00 Ratings
8.04 Ratings
Report Output and Scheduling
Comparison of Report Output and Scheduling features of Product A and Product B
MySQL
-
Ratings
Redash
5.4
4 Ratings
43% below category average
Publish to Web
00 Ratings
8.02 Ratings
Publish to PDF
00 Ratings
7.04 Ratings
Report Versioning
00 Ratings
5.53 Ratings
Report Delivery Scheduling
00 Ratings
2.63 Ratings
Delivery to Remote Servers
00 Ratings
3.93 Ratings
Data Discovery and Visualization
Comparison of Data Discovery and Visualization features of Product A and Product B
MySQL is best suited for applications on platform like high-traffic content-driven websites, small-scale web apps, data warehouses which regards light analytical workloads. However its less suited for areas like enterprise data warehouse, OLAP cubes, large-scale reporting, applications requiring flexible or semi-structured data like event logging systems, product configurations, dynamic forms.
Redash is well suited to situations where metrics are tracked on daily, weekly and monthly basis. Alerts can be set to emails which helps stakeholders to monitor performance on a frequent basis. It is less appropriate for cases where only dashboards are needed. Redash comes into picture where individuals can query and check data at the same time.
Learning curve: is big. Newbies will face problems in understanding the platform initially. However, with plenty of online resources, one can easily find solutions to problems and learn on the go.
Backup and restore: MySQL is not very seamless. Although the data is never ruptured or missed, the process involved is not very much user-friendly. Maybe, a new command-line interface for only the backup-restore functionality shall be set up again to make this very important step much easier to perform and maintain.
For teaching Databases and SQL, I would definitely continue to use MySQL. It provides a good, solid foundation to learn about databases. Also to learn about the SQL language and how it works with the creation, insertion, deletion, updating, and manipulation of data, tables, and databases. This SQL language is a foundation and can be used to learn many other database related concepts.
I give MySQL a 9/10 overall because I really like it but I feel like there are a lot of tech people who would hate it if I gave it a 10/10. I've never had any problems with it or reached any of its limitations but I know a few people who have so I can't give it a 10/10 based on those complaints.
We have never contacted MySQL enterprise support team for any issues related to MySQL. This is because we have been using primarily the MySQL Server community edition and have been using the MySQL support forums for any questions and practical guidance that we needed before and during the technical implementations. Overall, the support community has been very helpful and allowed us to make the most out of the community edition.
MongoDB has a dynamic schema for how data is stored in 'documents' whereas MySQL is more structured with tables, columns, and rows. MongoDB was built for high availability whereas MySQL can be a challenge when it comes to replication of the data and making everything redundant in the event of a DR or outage.