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 major contenders in the NoSQL database market, with MongoDB Enterprise Advanced perceived to have an advantage due to its richer feature set, despite a higher cost.
Features: Cassandra is distinguished for its exceptional scalability, fault tolerance, and distributed architecture across multiple data centers. MongoDB Enterprise Advanced emphasizes strong data consistency, flexible schema design, and advanced querying capabilities.
Room for Improvement: Cassandra could enhance its user-friendly deployment experience, improve customer service for enterprises, and streamline operational overheads. MongoDB Enterprise Advanced could focus on reducing costs, improving scalability in complex scenarios, and further enhancing data recovery solutions.
Ease of Deployment and Customer Service: Cassandra requires a balanced skill set for deployment and can present complex operational challenges. In contrast, MongoDB Enterprise Advanced is known for its straightforward deployment and is often praised for its robust support and maintenance.
Pricing and ROI: Cassandra is recognized for lower upfront setup costs and a strong ROI for businesses that prioritize performance scalability. MongoDB Enterprise Advanced, though having higher initial expenses, justifies it with a comprehensive feature set and support, leading to a faster ROI for projects that require its advanced capabilities.
| Product | Market Share (%) |
|---|---|
| MongoDB Enterprise Advanced | 16.9% |
| Cassandra | 8.7% |
| Other | 74.4% |
| Company Size | Count |
|---|---|
| Small Business | 8 |
| Midsize Enterprise | 1 |
| Large Enterprise | 14 |
| Company Size | Count |
|---|---|
| Small Business | 36 |
| Midsize Enterprise | 13 |
| Large Enterprise | 37 |
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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