Find out what your peers are saying about SAP, SQLite, Oracle and others in Embedded Database.
I have seen a return on investment in terms of time saved.
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.
Their team is capable of resolving issues efficiently, allowing users to create tickets and receive support.
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.
Oracle Database In-Memory is stable, which means there are no glitches or issues.
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.
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.
The data which is sent to DataDog sometimes does not match with the SingleStore dashboard.
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.
SingleStore has impacted my organization positively because the output and performance of the app have been improved.
| Product | Mindshare (%) |
|---|---|
| Oracle Database In-Memory | 11.7% |
| SQLite | 16.6% |
| Firebird SQL | 14.0% |
| Other | 57.7% |
| Product | Mindshare (%) |
|---|---|
| SingleStore | 3.4% |
| Amazon RDS | 11.9% |
| MongoDB Atlas | 11.4% |
| Other | 73.3% |
| 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 enhances performance for analytics and data warehousing, addressing large data volumes with real-time processing and advanced transaction capabilities. Its columnar storage accelerates analytic queries, with stability supporting deployment across diverse scales.
Oracle Database In-Memory provides an efficient platform for mixed-workload environments, optimizing performance and accelerating query processing. Its ability to handle OLAP queries without impacting latency-critical OLTP operations aids real-time data transfer, analytics, and reporting. Users across different industries implement it for business intelligence, data transactions, and decision-making, utilizing both on-premises and cloud platforms for applications such as banking and commerce. Despite its benefits, users cite needs for improved interface, better stability, and enhanced AI capabilities. Security, integration, and technical support remain critical considerations.
What are the key features of Oracle Database In-Memory?In industries like banking, Oracle Database In-Memory is pivotal for enhancing transaction processing and analytics, offering improved security and real-time data management. Businesses in commercial sectors leverage it for decision support, employing both on-premises and cloud solutions, facilitating seamless data operation and strategic advantage.
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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