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MySQL VS AWS IoT Analytics

Compare MySQL VS AWS IoT Analytics and see what are their differences

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MySQL logo MySQL

The world's most popular open source database

AWS IoT Analytics logo AWS IoT Analytics

IoT Management
  • MySQL Landing page
    Landing page //
    2022-06-17
  • AWS IoT Analytics Landing page
    Landing page //
    2022-02-05

MySQL features and specs

  • Reliability
    MySQL is known for its reliability and durability, making it a solid choice for many businesses' database management needs.
  • Performance
    It offers robust performance, handling large databases and complex queries efficiently.
  • Open Source
    MySQL is an open-source database, making it freely available under the GNU General Public License (GPL).
  • Scalability
    MySQL supports large-scale applications and can handle high volumes of transactions.
  • Community Support
    There is a large, active MySQL community that offers extensive resources, documentation, and support.
  • Cross-Platform
    MySQL is compatible with various operating systems like Windows, Linux, and macOS.
  • Integrations
    MySQL integrates well with numerous development frameworks, including LAMP (Linux, Apache, MySQL, PHP/Python/Perl).
  • Security
    MySQL offers various security features, such as user account management, password policies, and encrypted connections.
  • Cost
    The open-source nature of MySQL means that it can be very cost-effective, especially for small to medium-sized businesses.

Possible disadvantages of MySQL

  • Support
    While community support is plentiful, official support from Oracle can be quite expensive.
  • Complexity
    More advanced features and configurations can be complex and may require a steep learning curve for new users.
  • Scalability Limitations
    While MySQL is scalable, very high-scale applications may run into limitations compared to some newer database technologies.
  • Plug-in Storage Engines
    The use of plug-in storage engines like InnoDB or MyISAM can cause inconsistencies and complicate backups and recovery processes.
  • ACID Compliance
    Although MySQL supports ACID compliance, certain configurations or storage engines may not fully adhere to ACID properties, affecting transaction reliability.
  • Concurrent Writes
    Handling a high number of concurrent writes can be less efficient compared to some other database systems designed specifically for high concurrency.
  • Feature Set
    Some advanced features found in other SQL databases (e.g., full-text indexing, rich analytics) may be less robust or absent.
  • Vendor Dependency
    With Oracle now owning MySQL, there can be concerns about licensing changes or other forms of vendor lock-in.
  • Replication Complexities
    Setting up replication and ensuring data consistency across distributed systems can be complex and error-prone.

AWS IoT Analytics features and specs

  • Scalable
    AWS IoT Analytics automatically scales to support large volumes of IoT data, accommodating billions of messages from millions of devices without the need for extensive infrastructure management.
  • Integration
    Seamlessly integrates with other AWS services like AWS Lambda, Amazon S3, and Amazon QuickSight for extended functionality and complete data processing and visualization workflows.
  • Time-series analysis
    Designed specifically to handle time-series data, providing tools and pre-built functions to analyze and visualize trends over time, which is crucial for monitoring IoT devices.
  • Data Enrichment
    Enables the enrichment of IoT data by integrating external data sources and using metadata, allowing for more contextual and meaningful data insights.
  • Machine Learning Support
    Supports integration with AWS's machine learning services, allowing users to build, train, and deploy models for predictive analysis directly on their IoT data.

Possible disadvantages of AWS IoT Analytics

  • Complexity
    The broad feature set and integration options can lead to a steep learning curve for users unfamiliar with AWS services and IoT analytics workflows.
  • Cost
    While offering extensive capabilities, the cost of using AWS IoT Analytics can become significant, especially as data volumes and processing needs increase.
  • Dependency on AWS Ecosystem
    Requires reliance on the AWS ecosystem, which can be a limitation for organizations using multi-cloud strategies or those wanting to maintain vendor neutrality.
  • Latency
    Although designed for handling IoT data, there can be latency issues in data processing and analysis, especially with high-frequency data ingestion.
  • Security Complexity
    Managing security and ensuring compliance can be complex due to the sensitive nature of IoT data and the need to configure various AWS security settings properly.

Analysis of MySQL

Overall verdict

  • Yes, MySQL is generally considered to be a good choice for many applications, especially those requiring a relational database management system. Its performance, ease of integration, and support for various storage engines make it a versatile option.

Why this product is good

  • MySQL is a popular open-source relational database management system known for its reliability, ease of use, and strong community support. It has a proven track record and is widely used for web applications, data warehousing, and logging applications. Additionally, MySQL offers robust security features, scalability, and cross-platform support.

Recommended for

  • Small to medium-sized web applications
  • LAMP stack environments
  • E-commerce platforms
  • Logging and data warehousing applications
  • Projects requiring a mature, well-supported RDBMS

MySQL videos

+ Add

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

More videos:

  • Review - A Review of MySQL Open Source Software

AWS IoT Analytics videos

+ Add

AWS IoT Analytics - How It Works

More videos:

  • Review - Learn Step by Step How iDevices Uses AWS IoT Analytics - AWS Online Tech Talks

Category Popularity

0-100% (relative to MySQL and AWS IoT Analytics)

MySQL

AWS IoT Analytics

Databases
100 100%
Databases
0% 0
Analytics
0 0%
Analytics
100% 100
Relational Databases
100 100%
Relational Databases
0% 0
Data Dashboard
0 0%
Data Dashboard
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 MySQL and AWS IoT Analytics

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

AWS IoT Analytics Reviews

We have no reviews of AWS IoT Analytics yet.
Be the first one to post

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.

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: almost 2 years ago
  • MMORPG design resources
    MySQL: Any SQL or DB knock-off, really... mysql.com - mariadb.org - sqlite.org. Source: over 2 years 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 4 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: almost 4 years ago

AWS IoT Analytics mentions (0)

We have not tracked any mentions of AWS IoT Analytics yet. Tracking of AWS IoT Analytics recommendations started around Mar 2021.

What are some alternatives?

When comparing MySQL and AWS IoT Analytics, you can also consider the following products

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

ThingSpeak - Open source data platform for the Internet of Things. ThingSpeak Features

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.

AWS IoT - Easily and securely connect devices to the cloud.

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

Countly - Product Analytics and Innovation. Build better customer journeys.

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