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 are competing products in the NoSQL database market, each with unique strengths. MongoDB appears more attractive for complex querying and user-friendly models, whereas Cassandra excels in high availability and scalability.
Features: MongoDB offers features like a flexible schema design, rich query language, and robust support for aggregation operations. Cassandra provides a decentralized, masterless architecture, exceptional fault tolerance, and high write throughput.
Room for Improvement: MongoDB can improve on its scalability and manageability for large-scale deployments. It might also benefit from enhanced support for distributed transactions and horizontal scaling. Cassandra may improve on reducing the complexity of its initial setup and tuning, enhancing ease of maintenance, and providing better integration tools for analytics.
Ease of Deployment and Customer Service: MongoDB's deployment is simplified with managed cloud services and comprehensive support options appealing to businesses with limited technical resources. Cassandra, while requiring more initial configuration due to its distributed nature, offers robust community support but often needs experienced professionals for effective deployment.
Pricing and ROI: Cassandra generally offers a lower upfront cost with its open-source nature and potentially high ROI for businesses prioritizing minimal downtime and scalability. MongoDB, while having a comparatively higher setup cost, provides strong ROI through reduced development time and adaptability to evolving data needs due to its feature-rich environment.
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 is a flexible and scalable NoSQL database solution that efficiently handles both structured and unstructured data. It is known for its ease of use, JSON capabilities, and efficient data handling, making it ideal for developer-friendly environments.
MongoDB stands out with features like sharding, geospatial indexing, and its open-source nature. Users find it fast and appreciate its seamless integration into different applications. Despite being powerful, it remains straightforward to set up and use, bolstered by a clustering and aggregation framework that enhances its functionality. While generally appreciated for its cost-effectiveness and broad application compatibility, there is room for improvement in security, enterprise integration, and the creation of more robust training and documentation resources. Enhancing performance and adding support for traditional relational database concepts could also prove beneficial.
What are MongoDB's most important features?MongoDB finds widespread application across industries like healthcare, logistics, and telecommunications. It efficiently powers IoT platforms, data analytics, and document management systems. Its schema flexibility and JSON storage capabilities make it ideal for real-time processing and multi-server databases, essential for handling large-scale data volumes in modern applications.
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