Cloudera Distribution for Hadoop and MongoDB Enterprise Advanced both compete in the enterprise data management category, focusing on big data environments. Cloudera seems to have the upper hand in integrating with big data tools due to its comprehensive management features, while MongoDB is favored for its flexibility and ease of development.
Features: Cloudera Distribution for Hadoop offers tools like Cloudera Manager for cluster management, simplifying administration tasks. It integrates well with Hadoop ecosystems and supports fast processing with Impala. Sentry adds granularity in security features. MongoDB Enterprise Advanced excels with its schemaless architecture, allowing flexible data storage without predefined schemas. It is known for excellent handling of unstructured data and ease of scalability across various projects.
Room for Improvement: Cloudera Distribution for Hadoop users point out stability issues with HBase 1.0 and slower processing speed in Cloudera 5 clusters. Improvements are needed in API customization, documentation, and seamless ecosystem integration. MongoDB Enterprise Advanced could enhance transaction capabilities and improve integration options for complex projects. Security through proper configurations remains a focus area, along with boosting support quality.
Ease of Deployment and Customer Service: Cloudera Distribution for Hadoop is versatile in deployment, supporting on-premises and hybrid clouds. However, its deployment and maintenance can be complex, and technical support could be improved. MongoDB Enterprise Advanced stands out for ease of deployment across various configurations and offers intuitive setup processes. Its community and support documentation, though, have mixed reviews, suggesting areas for enhancement.
Pricing and ROI: Cloudera Distribution for Hadoop is considered expensive, with costs often outweighing public cloud alternatives as enterprises scale. Its node-based pricing model poses challenges for smaller businesses. MongoDB Enterprise Advanced aligns with its open-source origins, offering both a free community edition and a paid enterprise version. Its pricing is generally more cost-effective, especially compared to Oracle, though small businesses still consider the enterprise version's cost substantial. MongoDB's ROI is driven by its scalability and flexibility without significant initial licensing fees.
Actually, with MongoDB, it's difficult to calculate the return on investment; it's too expensive for our use.
The technical support is quite good and better than IBM.
CosmoDB is better for auto-scale.
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.
MongoDB is highly scalable.
Integrating with Active Directory, managing security, and configuration are the main concerns.
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.
While solutions for other databases like SQL or PostgreSQL already exist, MongoDB requires additional integrations for developing AI solutions.
It can be deployed on-premises, unlike competitors' cloud-only solutions.
We have to pay approximately 2,000 euros per month for MongoDB.
We use the free version of MongoDB, so there are no licensing costs.
This is the only solution that is possible to install on-premise.
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.
It offers flexibility in schema adaptation, allowing us to change the schema and add new data points.
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.
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