Amazon Aurora vs SingleStore comparison

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Amazon Aurora

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Executive Summary

We performed a comparison between Amazon Aurora and SingleStore based on real PeerSpot user reviews.

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August 2025

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Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

Amazon Aurora

Average Rating

8.4

Reviews Sentiment

6.3

Number of Reviews

Ranking in other categories

Relational Databases Tools (7th)

SingleStore

Average Rating

8.8

Reviews Sentiment

7.4

Number of Reviews

Ranking in other categories

Database as a Service (DBaaS) (12th), Vector Databases (15th)

Mindshare comparison

While both are Databases solutions, they serve different purposes. Amazon Aurora is designed for Relational Databases Tools and holds a mindshare of 2.9%, down 4.1% compared to last year.
SingleStore, on the other hand, focuses on Database as a Service (DBaaS), holds 2.2% mindshare, up 0.9% since last year.

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Database as a Service (DBaaS)

Featured Reviews

Adnan Shafiq

Associate Vice President - Database Management (Principal Solutions Architect) at Northbay

High availability and geographical redundancy ensure reliable performance and cost efficiency

Amazon Aurora provides up to fifteen to sixteen read replicas. It replicates data across multiple Availability Zones, ensuring high availability and geographical redundancy, which can be considered a GR instead of a DR. As a managed service, maintenance tasks like backup and restore are handled by AWS, saving my organization significant time and money. Additionally, its fast cloning feature allows us to create a new clone from a large database swiftly, similar to a zero-copy cloning feature in Snowflake. This makes Amazon Aurora a compelling choice for my organization.

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Yasin Sarı

Senior Data Analyst at a comms service provider with 1,001-5,000 employees

High-speed data processing, seamless scalability, and excellent high availability making it an optimal choice for those prioritizing performance and efficiency in a database solution

There's a noteworthy consideration when it comes to collecting massive amounts of data. It is not the optimal choice for direct data collection through queries, and it's more suited for aggregation tasks. Attempting to use it for direct extraction, for instance, might lead to memory-related challenges. While MySQL version five might lack extensive SQL capabilities, SingleStore also has its constraints, requiring simpler SQL writing. This becomes evident when seeking advanced functionalities like window functions or JSON functions, where SingleStore doesn't offer an extensive toolkit, necessitating a more straightforward approach to SQL.

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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"The most valuable feature is that the maintainability is offloaded to the service provider. I don't have to maintain a database or do any administrative tasks, which comes in handy."

"Aurora is a key pillar for us, offering performance and availability."

"The solution’s scalability is good since we don’t need to take a maintenance window during unpredictable workloads. I like the solution’s behind-the-scenes happenings. It is a great feature."

"Amazon Aurora's best features are about scaling up and scaling down, which is perfect."

"The most valuable feature is the ability to do multiple-read and single-write. These are the kinds of features that we were interested in, and Aurora takes care of that natively."

"The provision of custom read and write endpoints eliminates the need for managing a separate proxy load balancer."

"One of the standout features of Amazon Aurora is that we do not need to maintain disaster recovery or manage availability zones."

"We had better control over the parameters that we could tweak in terms of intermediate storage and better indexing capabilities."

More Amazon Aurora pros

"The ability to store data in memory is a standout feature, enhanced by robust failover mechanisms."

"It's a distributed relational database, so it does not have a single server, it has multiple servers. Its architecture itself is fast because it has multiple nodes to distribute the workload and process large amounts of data."

"The paramount advantage is the exceptional speed."

"The product can automatically reinstall and reconfigure in case of a shutdown."

"MemSQL supports the MySQL protocol, and many functions are similar, so the learning curve is very short."

"The most valuable feature is the ability to create pipelines, streamline and extract data from the pipelines."

Cons

"In Oracle, tools like Veridata allow for comparing databases and certifying data accuracy, even offering repair capabilities, which are missing in Aurora. There should be a similar comparison tool in Aurora."

"The product's distributed query process for MySQL needs improvement."

"It is a bit costly. The features are quite good, and I wouldn't say it requires any technical improvements. But from a cost perspective, some clients wouldn't go for Aurora because of that."

"One of the most valuable features is storage scaling."

"It would have been helpful if they had provided some benchmarking numbers."

"I would like to see more AI-related features in future releases."

"The pricing could improve. It should be reduced."

"Amazon Aurora should upgrade its base PostgreSQL versions more frequently and offer all PostgreSQL extensions."

More Amazon Aurora cons

"There should be more pipelines available because I think that if MemSQL can connect to other services, that would be great."

"We don't get good discounts in Pakistan."

"For new customers, it's very tough to start. Their documentation isn't organized, and there's no online training available. SingleStore is working on it, but that's a major drawback."

"It is not the optimal choice for direct data collection through queries, and it's more suited for aggregation tasks."

"Having the ability to migrate servers using a single command would be extremely beneficial."

"Poor key distribution can significantly impact performance, requiring a backward approach in design rather than adding tables incrementally."

Pricing and Cost Advice

"I would rate the pricing a six out of ten, with ten being expensive."

"It is an expensive solution."

"It is quite expensive."

"The price could be lower compared to its competitors."

"The tool’s pricing depends on the instance type. For cost optimization purposes, we use the result instance category."

"There is no need to buy a license for the product. We can pay as per the use case."

"I would advise users to try the free 128GB version."

"SingleStore is a bit expensive."

"Using it for analytical purposes can be cost-effective in the long run, especially in terms of infrastructure."

"The product's licensing is not expensive. It is comparable."

"They have two main options: cloud installation and bare-metal installation, each with different pricing models."

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Top Industries

By visitors reading reviews

Financial Services Firm

25%

Computer Software Company

16%

Retailer

Government

Financial Services Firm

32%

Computer Software Company

12%

Comms Service Provider

University

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

Questions from the Community

What do you like most about Amazon Aurora?

Aurora's compatibility with MySQL or PostgreSQL benefited our database management. The migration from on-premise MySQL to Aurora was similar, so we didn't need to change our source code.

What is your experience regarding pricing and costs for Amazon Aurora?

The pricing for Amazon Aurora is different from DocumentDB because DocumentDB is cheaper. However, when you manage the administration more closely, you can control costs better with Amazon Aurora. ...

What needs improvement with Amazon Aurora?

I would like to see some tutorials from Amazon for Aurora because I'm too new to it. I believe Amazon can make more tutorials for the product since there's a lot of reading required, and a short tu...

What do you like most about SingleStore DB?

The paramount advantage is the exceptional speed.

What is your experience regarding pricing and costs for SingleStore DB?

Using it for analytical purposes can be cost-effective in the long run, especially in terms of infrastructure. While building an on-premise cluster incurs an initial cost for servers with ample RAM...

What needs improvement with SingleStore DB?

SQL Server vs Amazon Aurora

Comparisons

Compared 24% of the time

Oracle Database vs Amazon Aurora

Compared 15% of the time

MariaDB vs Amazon Aurora

Compared 8% of the time

Citus Data vs Amazon Aurora

Compared 7% of the time

Amazon RDS on Outposts vs Amazon Aurora

Compared 3% of the time

More Amazon Aurora Competitors

ClickHouse vs SingleStore

Compared 13% of the time

SQL Server vs SingleStore

Compared 8% of the time

Supabase Vector vs SingleStore

Compared 7% of the time

CockroachDB vs SingleStore

Compared 6% of the time

Oracle Database vs SingleStore

Compared 5% of the time

More SingleStore Competitors

Product Reports

Download Amazon Aurora product report

Amazon Aurora

August 2025

Download SingleStore product report

July 2025

Overview

Amazon Aurora is a MySQL and PostgreSQL-compatible relational database built for the cloud, that combines the performance and availability of traditional enterprise databases with the simplicity and cost-effectiveness of open source databases.

Amazon Aurora is up to five times faster than standard MySQL databases and three times faster than standard PostgreSQL databases. It provides the security, availability, and reliability of commercial databases at 1/10th the cost. Amazon Aurora is fully managed by Amazon Relational Database Service (RDS), which automates time-consuming administration tasks like hardware provisioning, database setup, patching, and backups.

Amazon Aurora features a distributed, fault-tolerant, self-healing storage system that auto-scales up to 64TB per database instance. It delivers high performance and availability with up to 15 low-latency read replicas, point-in-time recovery, continuous backup to Amazon S3, and replication across three Availability Zones (AZs).

Visit the Amazon RDS Management Console to create your first Aurora database instance and start migrating your MySQL and PostgreSQL databases.

Amazon Web Services (AWS)

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?

MySQL Compatibility: Eases the learning curve for users.
Built-in Pipelines: Connects to S3, Kafka, and more.
High Concurrency: Processes billions of records swiftly.
Replication & Failover: Enhances speed and reliability.
In-memory Storage: Ensures data safety and quick access.

What benefits can users find in SingleStore reviews?

Automatic Reconfiguration: Simplifies management tasks.
Impressive SQL Performance: Supports complex queries efficiently.
Scalability: Handles large datasets with a multi-node setup.

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.

Sample Customers

Dow Jones, Arizona State University, Verizon, Capital One, United Nations, Nielsen, Autodesk, Fanduel

400+ customers including: 6sense, Adobe, Akamai, Ant Money, Arcules, CARFAX, Cigna, Cisco, Comcast, DELL, DBS Bank, Dentsu, DirectlyApply, EY, Factors.AI, Fathom Analytics, FirstEnergy, GE, Goldman Sachs, Heap, Hulu, IMAX, impact.com, Kroger, LG, LiveRamp, Lumana, Nvidia, OpenDialog, Outreach, Palo Alto Networks, PicPay, RBC, Samsung, SegMetrics, Siemens, SiteImprove, SiriusXM, SK Telecom, SKAI, SONY, STC, SunRun, TATA, Thorn, ZoomInfo.