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Using Amazon Aurora has saved us significantly in terms of manpower costs, with nearly fifty percent savings compared to an on-premises solution.
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.
Technical support from Amazon is rated very highly.
The initial support could improve by having engineers familiarize themselves with the issue content to provide more specialized assistance from the start.
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.
This scalability is critical as it allows for runtime expansion, which is essential for businesses moving from on-premises to the cloud.
SingleStore's scalability is high and it can be used by any size of organization and can handle any needs of any organization.
It offers a stable environment, ensuring consistent performance.
I have not seen any downtime.
There are technical challenges, such as the inability to provision the database using a PostgreSQL snapshot directly.
Keeping extensions up-to-date with PostgreSQL releases would enhance Aurora's functionality.
I used the backup options in Amazon Aurora for cloning databases. It's very common.
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.
The pricing is reasonable and not overly expensive.
Amazon Aurora is not very expensive as other solutions with similar features from other vendors come at almost the same cost.
The pricing for Amazon Aurora is different from DocumentDB because DocumentDB is cheaper.
My experience with pricing, setup cost, and licensing is that it can be a bit expensive for startups.
It replicates data across multiple Availability Zones, ensuring high availability and geographical redundancy, which can be considered a GR instead of a DR.
Amazon Aurora offers a 99.9% SLA compared to PostgreSQL. This ensures a high level of availability for our applications.
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 (%) |
|---|---|
| Amazon Aurora | 3.2% |
| Oracle Database | 10.9% |
| SQL Server | 10.7% |
| Other | 75.2% |
| Product | Mindshare (%) |
|---|---|
| SingleStore | 3.4% |
| Amazon RDS | 11.9% |
| MongoDB Atlas | 11.4% |
| Other | 73.3% |


| Company Size | Count |
|---|---|
| Small Business | 5 |
| Midsize Enterprise | 4 |
| Large Enterprise | 13 |
| Company Size | Count |
|---|---|
| Small Business | 5 |
| Large Enterprise | 4 |
Amazon Aurora offers a relational database service with high availability and compatibility with MySQL and PostgreSQL. It is designed for efficient scalability and seamless integration within AWS, making it optimal for applications requiring robust performance and reliability.
Amazon Aurora distinguishes itself through its managed maintenance, ensuring high operational efficiency. It provides users with the ability to auto-scale their database resources, allowing businesses to maintain cost efficiency without sacrificing performance. The service includes robust disaster recovery options and supports up to sixteen read replicas, which are critical for mission-critical applications. Users benefit from smooth, cross-region replication and integration capabilities with other AWS services, enhancing data reliability and accessibility.
What are the most important features of Amazon Aurora?Amazon Aurora is extensively used across various industries such as finance, e-commerce, and healthcare, supporting internal applications with its relational database prowess. Many organizations leverage its serverless capabilities and cost-effective scalability for developing business intelligence and payment processing solutions. The seamless migration assistance from Oracle databases further underscores its appeal for enterprises looking to optimize database performance and reduce operational costs.
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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