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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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

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

"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."

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

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

"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."

"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."

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

"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."

More Amazon Aurora pros

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

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

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

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

"The paramount advantage is the exceptional speed."

"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."

Cons

"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."

"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."

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

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

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

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

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

"A challenge I noticed is during migration from PostgreSQL RDS to Amazon Aurora. There are technical challenges, such as the inability to provision the database using a PostgreSQL snapshot directly."

More Amazon Aurora cons

"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."

"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."

"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."

Pricing and Cost Advice

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

"It is quite expensive."

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

"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."

"It is an expensive solution."

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

"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."

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Top Industries

By visitors reading reviews

Financial Services Firm

19%

Computer Software Company

12%

University

Manufacturing Company

Financial Services Firm

30%

Computer Software Company

10%

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	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.

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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. ...

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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...

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Comparisons

YugabyteDB vs Amazon Aurora

Compared 13% of the time

SQL Server vs Amazon Aurora

Compared 13% of the time

Oracle Database 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 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

Amazon Aurora

Download Amazon Aurora product report

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.

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.

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