

Find out what your peers are saying about Oracle, PostgreSQL, Firebird and others in Open Source Databases.
I have seen a return on investment with MySQL, as it allows us to manage with fewer employees, focusing on business logic rather than database management.
If we want to scale to 30 or 40 lakh people, then it is still possible, covering three to four million users.
I would rate the documentation and online support a 10 out of 10.
Oracle provides customer support, and we can submit service requests that they solve on a 24/7 basis.
We have no issues and usually receive timely responses.
Meeting scalability requirements through cloud computing is an expensive affair.
If the database foundation is very good with well-thought-out table structure and everything, then scalability is easy.
MySQL's scalability is currently adequate, as we have increased operations from ten thousand to twelve thousand devices, and it is working fine for us.
We face certain integration issues, especially when we integrate the database with security solutions like IBM QRadar.
The product that I am working on is quite stable because we have been using it for three years, and it hasn't given us any problems.
From my experience, MySQL was pretty stable.
I would advise people thinking about using MySQL to look up if the indexing mechanism is useful for their needs and then accordingly select the right database, and also consider if relational databases make sense for their use case.
The load balancer, MySQL LB, which is used to connect to the application, lacks clear documentation.
MySQL has slow queries; sometimes when I run a query, it scans the whole table, and if the data is very large, it takes too much time to retrieve the data.
Oracle has different components, so if you need security, you have to procure a different license, but here everything is inbuilt and it's not costly.
As an RDBMS, MySQL provides us great capability. For a product growing to large scale like ours, where we currently have around 10 lakh users but will grow to 20, 30, 40 million or more, having a strong database foundation is essential. MySQL provides that.
With Oracle, we have to buy another solution for encryption and masking, but MySQL supports native encryption, which enhances our return on investment.
The main feature we utilize in MySQL is the view, and I can say that it is the most valuable feature for our needs.
| Product | Market Share (%) |
|---|---|
| MySQL | 9.7% |
| PostgreSQL | 14.3% |
| Firebird SQL | 12.5% |
| Other | 63.5% |
| Product | Market Share (%) |
|---|---|
| OpenText Analytics Database (Vertica) | 5.3% |
| Snowflake | 10.1% |
| Teradata | 9.4% |
| Other | 75.2% |


| Company Size | Count |
|---|---|
| Small Business | 75 |
| Midsize Enterprise | 32 |
| Large Enterprise | 62 |
| Company Size | Count |
|---|---|
| Small Business | 29 |
| Midsize Enterprise | 23 |
| Large Enterprise | 38 |
MySQL is an open-source database known for its ease of use and high performance. It offers features like replication and clustering, making it ideal for diverse applications. Its cost-effectiveness and LAMP integration are key advantages for businesses.
MySQL supports a variety of languages and platforms, providing reliable, scalable data management. Its graphical interface and LAMP architecture integration enhance its usability, while community support further strengthens its appeal. Challenges include scalability issues with large databases, lack of advanced clustering, and limited high-availability features. Complex queries may affect performance, and integration can pose difficulties. The outdated interface and insufficient documentation are also concerns, along with replication and backup reliability issues.
What are MySQL's key features?MySQL is widely implemented in industries such as web development, e-commerce, and finance. It's used for managing dynamic websites, powering e-commerce platforms, and supporting financial applications. Its compatibility with PHP and cost-effectiveness make it suitable for CMS platforms like WordPress. With cloud services integration, MySQL is a backend choice for scalable applications in various sectors.
OpenText Analytics Database Vertica is known for its fast data loading and efficient query processing, providing scalability and user-friendliness with a low cost per TB. It supports large data volumes with OLAP, clustering, and parallel ingestion capabilities.
OpenText Analytics Database Vertica is designed to handle substantial data volumes with a focus on speed and efficient storage through its columnar architecture. It offers advanced performance features like workload isolation and compression, ensuring flexibility and high availability. The database is optimized for scalable data management, supporting data scientists and analysts with real-time reporting and analytics. Its architecture is built to facilitate hybrid deployments on-premises or within cloud environments, integrating seamlessly with business intelligence tools like Tableau. However, challenges such as improved transactional capabilities, optimized delete processes, and better real-time loading need addressing.
What features define OpenText Analytics Database Vertica?OpenText Analytics Database Vertica's implementation spans industries such as finance, healthcare, and telecommunications. It serves as a central data warehouse offering scalable management, high-speed processing, and geospatial functions. Companies benefit from its capacity to integrate machine learning and operational reporting, enhancing analytical capabilities.
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