

MongoDB Enterprise Advanced and Percona Server are competing products in the robust database solutions category. MongoDB Enterprise Advanced appears to have an edge in performance and scalability, while Percona Server is attractive for budget-conscious buyers due to its cost-effectiveness and reliable support.
Features: MongoDB Enterprise Advanced offers superior scalability options, comprehensive security measures, and advanced analytics capabilities. Percona Server provides flexibility with its open-source nature, enhanced backup utilities, and extensive database tool integrations.
Ease of Deployment and Customer Service: MongoDB Enterprise Advanced supplies comprehensive deployment tools and extensive documentation, ensuring seamless integration. Percona Server offers a straightforward deployment model with robust community support and accessible customer service.
Pricing and ROI: MongoDB Enterprise Advanced involves a higher setup cost but suggests a higher ROI for large-scale operations with its enterprise-level features. Percona Server offers a lower initial cost due to its open-source model, providing substantial savings for smaller businesses.
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.
What was projected for a three-year hardware lifespan extended to five years, yielding a return on investment of more than two times from migrating from MySQL to Percona Server.
I have seen a return on investment from using Percona Server, especially in terms of time, as time to resolve issues and time to get notified mean that time is a lot of money.
We have received fairly good support whenever we reached out to the technical teams; they were prompt.
I think they resolved it, but it was very long.
Percona Server's customer support is excellent with very responsive and friendly service.
support was quite helpful in assisting us with archivers, replicators, and other commands.
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.
Percona Server's scalability is very strong, as it features thread pooling for over 10,000 connections.
We find it is easy to scale out and scale in using Percona Operator, Percona XtraDB toolkits, and PXC XtraDB Cluster.
Percona Server's scalability meets our needs well, as we use it in Docker and scale the way we want with multiple MongoDB servers rather than one huge server.
It's pretty much stable; we have not faced any major challenges or difficulties with MongoDB Enterprise Advanced.
Percona Server is perfectly stable and reliable.
Percona Server is very stable in my experience.
Percona Server is stable based on my experience.
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 would be helpful to clarify the metrics related to disk I/O latency so we could understand where our bottlenecks are.
I believe it would be great to have tools to deploy Percona Server in Docker so that we can split a huge database server into many small servers, which are easier to maintain and delegate to junior administrators.
The introduction of materialized views in Percona Server would be a significant help, as this feature has been requested for a long time.
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.
What I appreciated was that they packaged support with the licenses, ensuring that we ended up with a working database.
we received the enterprise features for free
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.
Percona Kubernetes for MongoDB is a unique offering since no other companies provide a proper Kubernetes operator that supports deployment, maintenance, and backup.
Percona Server has positively impacted my organization by allowing us to save a ton of money by not having to use RDS or Aurora in Amazon.
Whenever there is an issue, Percona Server notifies us, and we resolve the issue immediately.
| Product | Mindshare (%) |
|---|---|
| MongoDB Enterprise Advanced | 6.5% |
| Percona Server | 2.4% |
| Other | 91.1% |

| Company Size | Count |
|---|---|
| Small Business | 36 |
| Midsize Enterprise | 13 |
| Large Enterprise | 39 |
| Company Size | Count |
|---|---|
| Small Business | 4 |
| Midsize Enterprise | 3 |
| Large Enterprise | 3 |
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.
Percona Server is a MySQL alternative offering improved performance and scalability for databases used in demanding environments. It is tailored for companies requiring reliable data management, ensuring efficiency and flexibility in operations.
Percona Server enhances MySQL with numerous features that boost database performance, making it suitable for large-scale deployments. Known for its ability to handle heavy workloads, users count on Percona Server to maintain operational consistency even under significant demand. Its security and compatibility with MySQL are additional benefits, providing a seamless transition for existing MySQL users. Organizations focused on cost-efficiency and high performance often consider Percona Server as a strong, open-source solution.
What are Percona Server's features?In industries such as e-commerce, telecommunication, and finance, Percona Server is implemented to maintain high transaction volumes and ensure robust data security. Its utility in managing complex database demands makes it a preferred choice in sectors where data integrity and performance are crucial.
We monitor all Open Source Databases reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.