

MySQL and MongoDB Enterprise Advanced are popular competitors in the database systems category. MySQL often has the upper hand for smaller-scale projects due to its cost-effectiveness, while MongoDB often suits enterprises needing scalable solutions.
Features: MySQL stands out for its multi-threaded architecture, crash recovery, and integration with LAMP/WAMP stacks, making it ideal for web applications. MongoDB Enterprise Advanced excels in its schema-less design, enabling efficient handling of unstructured data, making it useful for large data sets and cloud-native applications.
Room for Improvement: MySQL could enhance its advanced replication and clustering features, especially for cloud deployments. MongoDB Enterprise Advanced could improve its support for complex joins and transactional consistency, and address its high costs for additional features.
Ease of Deployment and Customer Service: MySQL offers flexible deployment across On-premises and Hybrid Cloud setups, with extensive community support. MongoDB excels in cloud environments with positive feedback on its managed cloud services, though its costs might be a barrier for smaller businesses.
Pricing and ROI: MySQL’s open-source nature promises low initial costs, delivering high ROI, particularly within existing infrastructure environments. MongoDB Enterprise Advanced, despite higher costs, offers solid ROI for large-scale, high-performance database needs. Its pricing strategy primarily targets larger organizations.
Actually, with MongoDB, it's difficult to calculate the return on investment; it's too expensive for our use.
I would say we see value in money and return on investment with MongoDB Enterprise Advanced.
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.
We have received fairly good support whenever we reached out to the technical teams; they were prompt.
I would rate the documentation and online support a 10 out of 10.
We have no issues and usually receive timely responses.
Oracle provides customer support, and we can submit service requests that they solve on a 24/7 basis.
In CosmoDB, the scalability is much better than with the MongoDB ReplicaSet models.
MongoDB is highly scalable.
Overall, on a scale of one to ten, I would rate MongoDB an eight; it's mostly because we're still running a monolithic environment on old hardware, so there are some limitations with read-write access.
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.
It's pretty much stable; we have not faced any major challenges or difficulties with MongoDB Enterprise Advanced.
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.
While solutions for other databases like SQL or PostgreSQL already exist, MongoDB requires additional integrations for developing AI solutions.
We have not contracted the security options in our contract because they're too expensive; thus, we implement just encrypted databases and not the security pack.
From the AWS standpoint, if robust integration and data warehouse integration specific tools are added in the advanced suite, that would definitely be helpful.
It could be more beneficial if MySQL can enhance its data masking functionality in the same way it has improved data encryption.
Oracle could improve on scalability.
The load balancer, MySQL LB, which is used to connect to the application, lacks clear documentation.
We use the free version of MongoDB, so there are no licensing costs.
We have to pay approximately 2,000 euros per month for MongoDB.
For a small company, the cost of MongoDB Enterprise Advanced is reasonable, but for heavy data usage, we see a little bit of cost pressure but it's acceptable.
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.
It offers flexibility in schema adaptation, allowing us to change the schema and add new data points.
In ReplicaSet, it's acceptable, but if your workload needs more performance, and you must pass to a Sharding model, it becomes complicated in MongoDB; in Cosmos DB, however, it's simple.
MongoDB has definitely helped us improve our network monitoring and reporting dashboard.
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.
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.
| Product | Market Share (%) |
|---|---|
| MySQL | 9.7% |
| MongoDB Enterprise Advanced | 5.1% |
| Other | 85.2% |

| Company Size | Count |
|---|---|
| Small Business | 35 |
| Midsize Enterprise | 13 |
| Large Enterprise | 38 |
| Company Size | Count |
|---|---|
| Small Business | 75 |
| Midsize Enterprise | 32 |
| Large Enterprise | 62 |
MongoDB Enterprise Advanced is a comprehensive platform renowned for its scalability, user-friendliness, and high performance, underpinned by its flexible document-based storage and open-source model. JSON compatibility, clustering, and security elevate its standing among professionals.
The platform facilitates efficient data management through developer-friendly tools and a strong aggregation framework. MongoDB’s no-schema requirement, supported by community expertise, underlines its adaptability. While its sharding capabilities and affordably support large data volumes, there are aspects such as security enhancement and enterprise tool integration that need attention. Indexing and query optimization pose challenges, alongside high costs. Improvements in analytics and UI could advance its infrastructure further.
What are the key features of MongoDB Enterprise Advanced?Industries leverage MongoDB Enterprise Advanced for significant roles in data storage within IoT platforms, healthcare apps, public service monitoring, and big data analytics. Companies in logistics and telecommunications find it instrumental for business process management and video content management, benefiting from its seamless integration and unstructured data support.
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.
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