Find out what your peers are saying about SAP, SQLite, Firebird and others in Embedded Database.
The objective was to scale as data loads with high-performing query model responses.
Support quality varies across regions, with more advanced solutions from the U.S. and UK compared to Asian region support.
The technical support from Oracle is very good.
I rate the technical support of Oracle an eight or nine out of ten.
The customer support is very proactive and responsive twenty-four hours per day, seven days per week.
SingleStore's scalability is high and it can be used by any size of organization and can handle any needs of any organization.
It was very difficult to move data from on-site to cloud in one attempt at the start, because we didn't have sufficient bandwidth to copy the data files to the cloud.
Oracle Database In-Memory is stable, which means there are no glitches or issues.
I have not seen any downtime.
Enhancing features like CAG augmentation and cache augmentation could significantly optimize performance for large language models.
The area where improvement is required the most in the product is the UI.
Error handling needs attention. When it fails due to memory, it only indicates that but not exactly in which process it failed.
Recent reductions in cloud costs and learning opportunities, such as free portals for students, make the pricing reasonable without hindering access to powerful features and performance.
The pricing for Oracle Database In-Memory is more affordable.
My experience with pricing, setup cost, and licensing is that it can be a bit expensive for startups.
The biggest benefit of Oracle Database In-Memory is dealing with a huge amount of information without any latency for our response time.
The valuable features of Oracle Database In-Memory include its capability to bypass disk storage for faster memory operations, which is critical for transactions and analytics.
SingleStore has impacted my organization positively by enabling us to run low-latency analytics and model-driven use cases at scale, which is quite difficult for OLAP and OLTP databases alone.
| Product | Mindshare (%) |
|---|---|
| Oracle Database In-Memory | 11.2% |
| SQLite | 18.1% |
| Firebird SQL | 14.9% |
| Other | 55.8% |
| Product | Mindshare (%) |
|---|---|
| SingleStore | 3.0% |
| Amazon RDS | 11.8% |
| MongoDB Atlas | 11.3% |
| Other | 73.9% |
| Company Size | Count |
|---|---|
| Small Business | 6 |
| Midsize Enterprise | 4 |
| Large Enterprise | 23 |
| Company Size | Count |
|---|---|
| Small Business | 5 |
| Large Enterprise | 4 |
Oracle Database In-Memory transparently accelerates analytics by orders of magnitude while simultaneously speeding up mixed-workload OLTP. With Oracle Database In-Memory, users get immediate answers to business questions that previously took hours.
Oracle Database In-Memory delivers leading-edge in-memory performance without the need to restrict functionality, or accept compromises, complexity and risk. Deploying Oracle Database In-Memory with any existing Oracle Database compatible application is as easy as flipping a switch - no application changes are required. Oracle Database In-Memory is fully integrated with the Oracle Database’s renowned scale-up, scale-out, storage tiering, availability, and security technologies making it the most industrialstrength offering on the market.
The ability to easily perform real-time data analysis together with real-time transaction processing on all existing applications enables organizations to transform into Real-Time Enterprises that quickly make data-driven decisions, respond instantly to customer demands, and continuously optimize all key processes.
For more information on Oracle Database In-Memory, visit Oracle.com
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.
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