Amazon Aurora vs CockroachDB comparison

Amazon Web Services (AWS) and Cockroach are both solutions in the Relational Databases Tools category. Amazon Web Services (AWS) is ranked #10 with an average rating of 8.2, while Cockroach is ranked #12 with an average rating of 8.4. Amazon Web Services (AWS) holds a 3.6% mindshare in SQL, compared to Cockroach’s 3.1% mindshare. Additionally, 100% of Amazon Web Services (AWS) users are willing to recommend the solution, compared to 83% of Cockroach users who would recommend it.

Amazon Aurora

Read 13 Amazon Aurora reviews

3,539 Views
3,212 Comparison Views

100% willing to recommend

CockroachDB

Read 12 CockroachDB reviews

3,031 Views
2,062 Comparison Views

83% willing to recommend

Amazon Aurora

CockroachDB

Comparison Buyer's Guide

Download the report

Executive Summary

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

Find out in this report how the two Relational Databases Tools solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

To learn more, read our detailed Amazon Aurora vs. CockroachDB Report (Updated: January 2025).

Buyer's Guide

Amazon Aurora vs. CockroachDB

January 2025

Download the complete report

Helped 831,265 peers since 2012

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

Ranking in Relational Databases Tools

10th

Average Rating

8.2

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

No ranking in other categories

CockroachDB

Ranking in Relational Databases Tools

12th

Average Rating

8.0

Reviews Sentiment

7.7

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of January 2025, in the Relational Databases Tools category, the mindshare of Amazon Aurora is 3.6%, down from 4.3% compared to the previous year. The mindshare of CockroachDB is 3.1%, up from 2.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Relational Databases Tools

Featured Reviews

Rajitha Jatothu

Aws Devops Engineer at LTIMindtree

Achieve high performance with fault-tolerant and highly available database management

Aurora is a key pillar for us, offering performance and availability. It is faster than RDS and supports multi-region clusters and scalability. One feature we value is Aurora's ability to provide a reader endpoint, allowing applications to connect without tracking replicas. It supports auto-scaling and offers several options for monitoring and optimizing database performance. Aurora's fault tolerance and ability to handle multiple replicas contribute to its reliability and high performance.

Read full review

Antonio Tringali

Software Engineer at a consultancy with self employed

Open source with extensive documentation and a University for training

I am a freelancer. A client of mine wanted a solution that would allow them to scale yet not abandon the familiar PostgreSQL front-end (and rewrite a part of their source code). Scalability aside, CockroachDB is a fine way forward from PostgreSQL and is not changing the client source code part of the system. If you are lucky and you do not use newer features from recent versions of PostgreSQL or PostgreSQL extensions, it's fine. There are nice-to-have features for big organizations like regional tables. At the moment, my client simply does not use these. However, the serverless offer from CockroachDB is reacting well as data grows.

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 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."

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

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

"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."

"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."

"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."

"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."

More Amazon Aurora pros

"The most valuable feature is that CockroachDB is a distributed database, which can deploy nodes running in different regions."

"The most valuable features of the solution are its resiliency features and the geo-partitioning capabilities."

"What I like best is its ability to solve data residency issues. The main advantage is auto geo partitioning, built into the product. This means we don't have to spin up separate servers in each region, which would be much more costly."

"I use CockroachDB to test big data samples and to create the best structure for databases. We have four users and required 10 people for deployment and maintenance."

"The best feature of CockroachDB is the ability to keep the nodes in different locations."

"CockroachDB is highly reliable."

"The initial setup and deployment are simple."

"The availability and the easy to use feature is the most valuable. The documentation is also good."

More CockroachDB pros

Cons

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

"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."

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

"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."

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

"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."

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

More Amazon Aurora cons

"I would like CockroachDB to have more compatibility with PostgreSQL, especially with the connection string and technical integrations."

"Cockroach does not support all types of protocols. I need to improve it myself to support a CouchDB on my network."

"The product must improve its disaster recovery features."

"I find the serverless offer a bit confusing."

"The initial setup and pricing could be improved."

"I think the engine itself could be improved. If you miss a partition key, it should be able to be modeled. This is where AI could be really helpful. For example, if a user is from Australia, the system should know to look for their data there first instead of searching in the US or another continent."

"CockroachDB needs to improve store processes."

"We are looking for more features to support distributed high availability and geo-partitioning."

More CockroachDB cons

Pricing and Cost Advice

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

"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."

"It is quite expensive."

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

"The solution's pricing is not cheap. However, the good thing is that customers are willing to pay for it if they want it."

"The pricing is good but can be made cheaper. I would rate the pricing a five out of ten."

"The platform is affordable even for the enterprise version. It provides value for investment in terms of performance."

"I've used CockroachDB at a small scale on the free accounts because we are only testing."

"The product's price depends on the user's company and the contract model they enter into with CockroachDB. Depending on the contract model one enters into with CockroachDB, the product may or may not be expensive."

See which vendors are best for you

Use our free recommendation engine to learn which Relational Databases Tools solutions are best for your needs.

See recommendations

831,265 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Financial Services Firm

28%

Computer Software Company

14%

Government

Manufacturing Company

Financial Services Firm

40%

Computer Software Company

14%

Retailer

Manufacturing Company

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.

See all answers

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

The price of Aurora is generally reasonable. It fluctuates based on performance levels and usage, yet maintains a good balance with our operational demands.

See all answers

What needs improvement with Amazon Aurora?

Currently, I am unsure what aspects of Aurora require improvement. The solution meets our needs in terms of high availability, durability, and backups. However, room for improvement might be in the...

See all answers

What do you like most about CockroachDB?

The subset of SQL that my client is using is completely supported.

See all answers

What needs improvement with CockroachDB?

I would like CockroachDB to have more compatibility with PostgreSQL, especially with the connection string and technical integrations.

See all answers

What is your primary use case for CockroachDB?

I am studying how to deploy CockroachDB and YugaByteDB, and learning some basic information about them. I am testing these databases as part of my school application to find a suitable database for...

See all answers

Comparisons

SQL Server vs Amazon Aurora

Compared 39% of the time

Oracle Database vs Amazon Aurora

Compared 24% of the time

MariaDB vs Amazon Aurora

Compared 9% of the time

SAP HANA vs Amazon Aurora

Compared 7% of the time

Citus Data vs Amazon Aurora

Compared 5% of the time

More Amazon Aurora Competitors

Citus Data vs CockroachDB

Compared 18% of the time

Oracle Database vs CockroachDB

Compared 17% of the time

Neon vs CockroachDB

Compared 12% of the time

MySQL vs CockroachDB

Compared 10% of the time

SAP HANA vs CockroachDB

Compared 3% of the time

More CockroachDB Competitors

Product Reports

Buyer's Guide

Amazon Aurora

January 2025

Download Amazon Aurora product report

Buyer's Guide

CockroachDB

January 2025

Download CockroachDB product report

Learn More

Amazon Web Services (AWS)

Cockroach

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.

CockroachDB is a distributed SQL database built on a transactional and strongly-consistent key-value store. It scales horizontally; survives disk, machine, rack, and even datacenter failures with minimal latency disruption and no manual intervention; supports strongly-consistent ACID transactions; and provides a familiar SQL API for structuring, manipulating, and querying data.

CockroachDB is inspired by Google’s Spanner and F1 technologies, and it’s completely open source.

Sample Customers

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

Baidu, Kindred, Tierion, Heroic Labs, Gorgias

Buyer's Guide

Amazon Aurora vs. CockroachDB

January 2025

Free Report: Amazon Aurora vs. CockroachDB

Find out what your peers are saying about Amazon Aurora vs. CockroachDB and other solutions. Updated: January 2025.

DOWNLOAD NOW

831,265 professionals have used our research since 2012.

See our Amazon Aurora vs. CockroachDB report.

See our list of best Relational Databases Tools vendors.

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.