

Find out what your peers are saying about Microsoft, Oracle, SAP and others in Relational Databases Tools.
Using Amazon Aurora has saved us significantly in terms of manpower costs, with nearly fifty percent savings compared to an on-premises solution.
The efficiency has increased significantly, and our workflows are consolidated into a single platform, thus reducing the operational overhead we previously faced.
The objective was to scale as data loads with high-performing query model responses.
I have seen a return on investment in terms of time saved.
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.
The customer support is very proactive and responsive twenty-four hours per day, seven days per week.
Their team is capable of resolving issues efficiently, allowing users to create tickets and receive support.
We have our own account manager who keeps us informed of the latest solutions and improvements in the system.
This scalability is critical as it allows for runtime expansion, which is essential for businesses moving from on-premises to the cloud.
Regarding scalability and the ability to scale, I would give it a 9.5 out of ten.
As our data volumes grow, we can expand resources without significant performance degradation.
SingleStore's scalability is really nice, as the process model includes master aggregator and slave aggregators or child aggregators, making it very well scalable both vertically and horizontally.
I have added both storage and additional instances many times, and it worked perfectly.
It offers a stable environment, ensuring consistent performance.
I would rate the stability of Amazon Aurora as a nine out of ten.
It handles large workloads and maintains consistent performance very well overall.
The performance and usability of SingleStore as a main database engine are significantly superior to other both paid and open-source solutions.
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.
A cost reduction would support multiple teams to adopt this solution since the cost is currently higher.
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.
Better documentation for advanced use cases, especially where data volumes are very high and queries are frequent, would help us manage the feature more efficiently.
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.
The setup cost was surprisingly good, and our transfer to Helios was almost seamless, as far as databases go, and it was not expensive.
Amazon Aurora offers a 99.9% SLA compared to PostgreSQL. This ensures a high level of availability for our applications.
It replicates data across multiple Availability Zones, ensuring high availability and geographical redundancy, which can be considered a GR instead of a DR.
The functions I have found most valuable in Amazon Aurora PostgreSQL are features that are not available in normal RDS PostgreSQL, particularly for scaling and restoration purposes in the event of failure.
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.
A very nice and useful feature is its compatibility with MySQL API, letting any system that can connect to MySQL also connect to SingleStore, thus solving many interoperability issues with different systems.
SingleStore is a distributed database that has the advantage that at any moment when resources are insufficient, there is a possibility to add more nodes, and everything is added online.
| Product | Mindshare (%) |
|---|---|
| Amazon Aurora | 3.2% |
| SQL Server | 10.5% |
| Oracle Database | 10.4% |
| Other | 75.9% |
| Product | Mindshare (%) |
|---|---|
| SingleStore | 3.6% |
| MongoDB Atlas | 11.9% |
| Amazon RDS | 11.8% |
| Other | 72.7% |


| Company Size | Count |
|---|---|
| Small Business | 5 |
| Midsize Enterprise | 4 |
| Large Enterprise | 14 |
| Company Size | Count |
|---|---|
| Small Business | 7 |
| Large Enterprise | 5 |
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.
We monitor all Relational Databases Tools reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.