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MySQL VS Composable Analytics

Compare MySQL VS Composable Analytics and see what are their differences

Draxlr
Turn SQL Data into Decisions. Build professional dashboards and data visualizations without technical expertise. Easily embed analytics anywhere, receive automated alerts, and discover AI-powered insights all through a straightforward interface. featured
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MySQL logo MySQL

The world's most popular open source database

Composable Analytics logo Composable Analytics

Composable Analytics is an enterprise-grade analytics ecosystem built for business users that want to architect data intelligence solutions that leverage disparate data sources and event data.
  • MySQL Landing page
    Landing page //
    2022-06-17
  • Composable Analytics Landing page
    Landing page //
    2022-04-06

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.

Composable Analytics features and specs

  • Flexibility
    Composable Analytics offers a flexible architecture that allows users to customize and build their analytics workflows according to specific needs, making it adaptable to a wide range of industries and use cases.
  • Integration Capabilities
    It supports integration with various data sources and tools, enabling seamless data flow and analysis across different platforms without requiring significant engineering resources.
  • User-Friendly Interface
    The platform provides a user-friendly interface that is designed to facilitate ease of use, even for non-technical users, empowering broader participation in data analytics tasks.
  • Scalability
    Composable Analytics is designed to be scalable, allowing businesses to handle growing amounts of data and increasing analytical demands as they expand.

Possible disadvantages of Composable Analytics

  • Complex Setup
    The initial setup and customization can be complex and time-consuming, requiring a clear understanding of the system's capabilities and integration points.
  • Learning Curve
    Despite its user-friendly interface, new users may experience a steep learning curve, especially those unfamiliar with data analytics or composable architectures.
  • Cost
    Depending on the scale and extent of use, the platform can be expensive, which might be a barrier for smaller businesses or startups with limited budgets.
  • Dependence on Third-Party Integrations
    Reliance on third-party tools and integrations might pose challenges if those external services are discontinued or change their API policies.

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

Composable Analytics videos

+ Add

World's #1st Data-Centric AIOps Platform | Composable Analytics for AIOps & Observability

Category Popularity

0-100% (relative to MySQL and Composable Analytics)

MySQL

Composable Analytics

Databases
100 100%
Databases
0% 0
Business & Commerce
0 0%
Business & Commerce
100% 100
Relational Databases
100 100%
Relational Databases
0% 0
Development
0 0%
Development
100% 100

User comments

Share your experience with using MySQL and Composable Analytics. 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 MySQL and Composable 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

Composable Analytics Reviews

We have no reviews of Composable Analytics yet.
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Social recommendations and mentions

Based on our record, MySQL should be more popular than Composable Analytics. 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: about 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

Composable Analytics mentions (1)

  • Ask HN: Who is hiring? (August 2021)
    - Front-End UI Developers passionate about creating well-architected user interfaces and fluent in current best practices for responsive and accessible design. - Junior and Senior level Software Engineers that have the ability to work across all layers of the application, from back-end databases to the UI. - Data engineers and data scientists knowledgeable in developing and training data models and building... - Source: Hacker News / almost 4 years ago

What are some alternatives?

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

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

IBM ILOG CPLEX Optimization Studio - IBM ILOG CPLEX Optimization Studio is an easy-to-use, affordable data analytics solution for businesses of all sizes who want to optimize their operations.

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.

RapidMiner Studio - Visual workflow designer for predictive analytics that brings data science and machine learning to everyone on the analytics team

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

Amadea - Amadea is the leading integrated Data Science platform, empowering data analysts and data scientists to discover the insights that drive business success.

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