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
Find out what your peers are saying about Microsoft, Amazon Web Services (AWS), MongoDB and others in Database as a Service (DBaaS).
| Product | Mindshare (%) |
|---|---|
| SingleStore | 3.7% |
| Amazon RDS | 12.6% |
| MongoDB Atlas | 9.8% |
| Other | 73.9% |
| Product | Mindshare (%) |
|---|---|
| SQream DB | 0.8% |
| Oracle Database | 10.3% |
| SQL Server | 10.2% |
| Other | 78.7% |
| Company Size | Count |
|---|---|
| Small Business | 7 |
| Large Enterprise | 5 |
SingleStore delivers the performance you need for enterprise AI, providing the most performant data platform for apps and analytics at scale. SingleStore enables organizations to scale from one to one million customers in one unified platform. SingleStore offers transparent pricing as shown here https://www.singlestore.com/pricing/
SingleStore caters to over 400 customers globally, including major banks and tech companies in 50+ countries and 40+ verticals. It offers seamless scaling for both transactional and analytical workloads, simplifying data management with its MySQL compatibility and real-time processing capabilities. SingleStore's distributed architecture ensures speed and reliability, efficiently handling large data volumes.
What are the key features of SingleStore?
What benefits can users find in SingleStore reviews?
Top banks and fintech companies leverage SingleStore for efficient management of financial data, while media and telecom industries use it for scalable metadata management and improved data processing. Retail and eCommerce sectors benefit from enhanced transactional capabilities, reducing the need for separate databases and optimizing reporting processes. SingleStore's capacity to unite diverse workloads makes it a strategic choice across many sectors.
SQream DB is a high-performance analytics database designed to efficiently process large-scale data, working optimally with GPU technology, enabling significant improvements in speed and scalability for businesses.
Harnessing GPU acceleration, SQream DB provides exceptional performance for handling exceptionally large datasets, making it ideal for industries that demand robust data processing capabilities. Designed to scale smoothly with data growth, it offers a powerful alternative for enterprises seeking to maximize analytical throughput. Its architecture enables accelerated insight generation, which is instrumental in driving informed decisions across multiple data-intensive sectors.
What are the key features of SQream DB?In telecommunications, SQream DB is implemented to manage and process customer data without latency issues, supporting real-time analytics and billing applications. The financial sector utilizes it for risk modeling and fraud detection, while healthcare employs it to handle genomics data analysis, ensuring swift access to crucial health insights.
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