Amazon Aurora vs SingleStore comparison

The compared Amazon Web Services (AWS) and SingleStore solutions aren't in the same category. Amazon Web Services (AWS) is ranked #8 in SQL , with an average rating of 8.6, and holds a 3.0% mindshare in the category. SingleStore is ranked #11 in DS , with an average rating of 8.0, and holds a 3.0% mindshare. Additionally, 100% of Amazon Web Services (AWS) users are willing to recommend the solution, compared to 100% of SingleStore users who would recommend it.

Amazon Aurora

Read 20 Amazon Aurora reviews

1,591 Views
1,543 Comparison Views

100% willing to recommend

SingleStore

Read 6 SingleStore reviews

2,326 Views
395 Comparison Views

100% willing to recommend

Amazon Aurora

SingleStore

Comparison Buyer's Guide

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Executive Summary

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

Find out what your peers are saying about Microsoft, Oracle, SAP and others in Relational Databases Tools.

To learn more, read our detailed Relational Databases Tools Report (Updated: January 2026).

Buyer's Guide

Relational Databases Tools

January 2026

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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 (8th), Database Management Systems (DBMS) (7th)

SingleStore

Average Rating

8.8

Reviews Sentiment

7.4

Number of Reviews

Ranking in other categories

Database as a Service (DBaaS) (11th), 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 3.0%, down 3.4% compared to last year.
SingleStore, on the other hand, focuses on Database as a Service (DBaaS), holds 3.0% mindshare, up 1.5% since last year.

Relational Databases Tools Market Share Distribution
Product	Market Share (%)
Amazon Aurora	3.0%
SQL Server	12.1%
Oracle Database	11.5%
Other	73.4%

Relational Databases Tools

Database as a Service (DBaaS) Market Share Distribution
Product	Market Share (%)
SingleStore	3.0%
Amazon RDS	14.8%
MongoDB Atlas	12.7%
Other	69.5%

Database as a Service (DBaaS)

Featured Reviews

Satheesh Papisetty

Digital Services & Engagement Senior Manager at AXA

High availability and operational efficiency achieved with reliable managed services

We have primarily used Amazon Aurora for handling our databases. We migrated from PostgreSQL to Amazon Aurora about a year ago. It serves as a customized PostgreSQL database that we utilize Amazon Aurora offers a 99.9% SLA compared to PostgreSQL. This ensures a high level of availability for our…

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Vignesh KR

Solution Architect at Wipro Limited

An excellent choice for diverse data processing needs with exceptional in-memory capabilities, robust failover mechanisms, easy scalability and high performance

Scalability is its key strength. Adding servers for scalability is a straightforward process involving simply incorporating a few additional servers and recycling the cluster triggers automatic repartitioning and redistribution of data. For instance, if the initial database creation involved a hundred servers and later, four more servers are added, specific commands can be executed to increase the partitions to one hundred twenty. The data is then efficiently redistributed across the expanded partitions without the need for manual data movement, ensuring a seamless and efficient scalability process. In my current organization, approximately three projects involve the usage of SingleStore, with a team size ranging from ten to twenty individuals.

Read full review

Quotes from Members

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

Pros

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

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

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

"My overall experience with Amazon Aurora is very positive. I rate it ten out of ten for its reliability and efficiency."

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

"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 most valuable feature of Amazon Aurora is SQL standardization, it doesn't have its own syntax which is good. It has a lot of hands-off self-management type of activities, such as log rolling and auto-scaling."

"The most valuable features of Amazon Aurora include the global instance with the global writer endpoint, which allows failovers and instance switches without requiring changes in my code, thanks to the default global Route 53 endpoint."

More Amazon Aurora pros

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

"The paramount advantage is the exceptional speed."

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

"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."

Cons

"I don't use Amazon Aurora's global database feature; I just use the local feature."

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

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

"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."

"There is improvement needed to have more developer focus. Additionally, it would be helpful to have a stand-alone solution outside of Amazon. Amazon has a tendency to favor developing web-based clients, which may not always provide the fastest or most responsive solution as desired."

"I would like to see performance insights on the database based on the queries. Currently, we use SolarWinds as the monitoring tool. I would like to leverage SolarWinds’ performance insights in AWS services. SolarWinds gives larger insights when we run performance issues."

"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."

"While Amazon Aurora meets your current scaling and storage needs, there is room for improvement in cryptography and scalability compared to other databases."

More Amazon Aurora cons

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

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

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

"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."

"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

"It is quite expensive."

"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."

"It is an expensive solution."

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

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

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

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

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

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

"SingleStore is a bit expensive."

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Top Industries

By visitors reading reviews

Financial Services Firm

19%

Computer Software Company

13%

University

Manufacturing Company

Financial Services Firm

29%

Computer Software Company

10%

Comms Service Provider

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	5
Midsize Enterprise	4
Large Enterprise	13

By reviewers
Company Size	Count
Small Business	4
Large Enterprise	3

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.

See all answers

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. ...

See all answers

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...

See all answers

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Comparisons

SQL Server vs Amazon Aurora

Compared 13% of the time

Oracle Database vs Amazon Aurora

Compared 13% of the time

YugabyteDB vs Amazon Aurora

Compared 11% of the time

CockroachDB vs Amazon Aurora

Compared 9% of the time

SAP HANA vs Amazon Aurora

Compared 3% of the time

More Amazon Aurora Competitors

ClickHouse vs SingleStore

Compared 8% of the time

SQL Server vs SingleStore

Compared 7% of the time

Supabase Vector vs SingleStore

Compared 6% of the time

CockroachDB vs SingleStore

Compared 5% of the time

OpenText Analytics Database (Vertica) vs SingleStore

Compared 5% of the time

More SingleStore Competitors

Product Reports

Buyer's Guide

Amazon Aurora

January 2026

Download Amazon Aurora product report

Buyer's Guide

SingleStore

December 2025

Download SingleStore product report

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.

SingleStore

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.

Buyer's Guide

Relational Databases Tools

January 2026

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