Apr 19, 2020
I haven't used SQream personally. However, if you are only considering GPU based rdbms's please check the following
https://hackernoon.com/which-gpu-database-is-right-for-me-6ceef6a17505
Cassandra and MongoDB Enterprise Advanced are competing in the NoSQL database domain. MongoDB Enterprise Advanced seems to have the upper hand due to its sophisticated feature set and easier deployment process.
Features: Cassandra offers a distributed architecture, strong write performance, and column-family data models for large-scale, real-time data processing. MongoDB Enterprise Advanced provides flexible document storage, full-index support, and aggregation frameworks for complex queries.
Room for Improvement: Cassandra could improve in user-friendliness, ease of configuration, and monitoring tools. MongoDB Enterprise Advanced would benefit from enhanced support for time-series data, improved write performance, and more cost-effective pricing models.
Ease of Deployment and Customer Service: MongoDB Enterprise Advanced provides a streamlined deployment model and comprehensive customer support, making it more accessible for organizations transitioning from traditional databases. Cassandra requires significant expertise for optimal configuration and maintenance, which can complicate deployment.
Pricing and ROI: Cassandra has a lower setup cost, offering favorable ROI for resource-constrained businesses with demanding workloads. In contrast, MongoDB Enterprise Advanced incurs higher initial costs but provides comprehensive features that may justify the investment for enterprises seeking advanced data handling and security.
| Product | Market Share (%) |
|---|---|
| MongoDB Enterprise Advanced | 15.9% |
| Cassandra | 8.2% |
| Other | 75.9% |
| Company Size | Count |
|---|---|
| Small Business | 8 |
| Midsize Enterprise | 1 |
| Large Enterprise | 14 |
| Company Size | Count |
|---|---|
| Small Business | 35 |
| Midsize Enterprise | 13 |
| Large Enterprise | 38 |
Cassandra is a distributed and scalable database management system used for real-time data processing.
It is highly valued for its ability to handle large amounts of data, scalability, high availability, fault tolerance, and flexible data model.
It is commonly used in finance, e-commerce, and social media industries.
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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