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 #7 in SQL , with an average rating of 8.6, and holds a 3.2% mindshare in the category. SingleStore is ranked #17 in DS , and holds a 2.9% 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

1,856 Views
1,782 Comparison Views

100% willing to recommend

SingleStore

Read 7 SingleStore reviews

2,527 Views
480 Comparison Views

100% willing to recommend

Amazon Aurora

SingleStore

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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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Relational Databases Tools

February 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 (7th), Database Management Systems (DBMS) (6th)

SingleStore

Average Rating

8.8

Reviews Sentiment

7.3

Number of Reviews

Ranking in other categories

Database as a Service (DBaaS) (17th), Vector Databases (17th)

Mindshare comparison

While both are Databases solutions, they serve different purposes. Amazon Aurora is designed for Relational Databases Tools and holds a mindshare of 3.2%, up 3.2% compared to last year.
SingleStore, on the other hand, focuses on Database as a Service (DBaaS), holds 2.9% mindshare, up 1.7% since last year.

Relational Databases Tools Mindshare Distribution
Product	Mindshare (%)
Amazon Aurora	3.2%
SQL Server	11.9%
Oracle Database	11.5%
Other	73.4%

Relational Databases Tools

Database as a Service (DBaaS) Mindshare Distribution
Product	Mindshare (%)
SingleStore	2.9%
Amazon RDS	12.6%
MongoDB Atlas	12.1%
Other	72.4%

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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Kelvin Ben

Senior Software Engineer at Honeywell

Real-time analytics has transformed daily decisions and delivers fast dashboards from streaming data

The best features SingleStore offers include fast data recovery and data compression by 80 percent. Having the information in sheets helps me to process the information quickly. Simplicity in T-SQL is another aspect I appreciate. Data recovery and sheet-based processing help my team on a day-to-day basis by enabling us to handle information efficiently. I would like to add that the data compression by 80 percent helps us in an excellent way since we are very fast in obtaining the data for our dashboards and the compression of the information is great. 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. It has been very helpful because our internal clients are happy to have the data and make data-driven decisions easily. Making decisions based on data within a two-hour delay to the transactional database is excellent since we went from twenty-four hours to two hours. I think the best contribution is decision-making with data that is close to reality. Reducing that delay from twenty-four hours to two hours has significantly affected my team and business outcomes by increasing productivity. We have been able to serve all our customers, and they are very happy. We can deliver to them on time.

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

"The migration process to Amazon Aurora is the best part; it's one of its key strengths, as we hardly had any hiccups during migration, which was very smooth and pretty straightforward given our data was mostly in English."

"Amazon Aurora is built on community databases and AWS has added additional features to it, allowing customers to have enterprise-level features at a lower cost."

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

"Aurora's features that I find the most beneficial include its database backup strategy, performance options, and input-output operations."

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

"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."

"They now offer some really good scaling and limitless versions that are available to me, which I find very impressive."

More Amazon Aurora pros

"The paramount advantage is the exceptional speed."

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

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

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

"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."

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

Cons

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

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

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

"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."

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

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

"There are tuning challenges."

"Room for improvement might be in the UI, integrations, or data working capabilities for better user experience."

More Amazon Aurora cons

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

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

"SingleStore can be improved in the aspect that the Azure pipelines do not have many parameterization features compared to others, for example, AWS."

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

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

"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."

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

Pricing and Cost Advice

"It is an expensive solution."

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

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

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

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

"It is quite 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."

"SingleStore is a bit expensive."

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

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Top Industries

By visitors reading reviews

Financial Services Firm

17%

Computer Software Company

13%

University

Retailer

Financial Services Firm

30%

Computer Software Company

Comms Service Provider

Retailer

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	4

Questions from the Community

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

What is your primary use case for Amazon Aurora?

The migration process to Amazon Aurora is the best part; it's one of its key strengths, as we hardly had any hiccups during migration, which was very smooth and pretty straightforward given our dat...

See all answers

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Comparisons

YugabyteDB vs Amazon Aurora

Compared 16% of the time

Oracle Database vs Amazon Aurora

Compared 13% of the time

SQL Server vs Amazon Aurora

Compared 12% of the time

CockroachDB vs Amazon Aurora

Compared 10% of the time

Amazon RDS on Outposts vs Amazon Aurora

Compared 4% of the time

More Amazon Aurora Competitors

ClickHouse vs SingleStore

Compared 7% of the time

Supabase Vector vs SingleStore

Compared 5% of the time

CockroachDB vs SingleStore

Compared 5% of the time

SQL Server vs SingleStore

Compared 5% of the time

Apache HBase vs SingleStore

Compared 2% of the time

More SingleStore Competitors

Product Reports

Buyer's Guide

Amazon Aurora

March 2026

Download Amazon Aurora product report

Buyer's Guide

SingleStore

February 2026

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

February 2026

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