Amazon Aurora vs Kinetica comparison

Amazon Web Services (AWS) and Kinetica are both solutions in the Relational Databases Tools category. Amazon Web Services (AWS) is ranked #7 with an average rating of 8.5, while Kinetica is ranked #34. Amazon Web Services (AWS) holds a 2.9% mindshare in SQL, compared to Kinetica’s 0.3% mindshare. Additionally, 100% of Amazon Web Services (AWS) users are willing to recommend the solution, compared to 100% of Kinetica users who would recommend it.

Amazon Aurora

Read 20 Amazon Aurora reviews

2,225 Views
2,181 Comparison Views

100% willing to recommend

Kinetica

Read 1 Kinetica review

261 Views
224 Comparison Views

100% willing to recommend

Amazon Aurora

Kinetica

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Executive Summary

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

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

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Buyer's Guide

Relational Databases Tools

July 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

Ranking in Relational Databases Tools

7th

Average Rating

8.4

Reviews Sentiment

6.3

Number of Reviews

Ranking in other categories

No ranking in other categories

Kinetica

Ranking in Relational Databases Tools

34th

Average Rating

7.0

Reviews Sentiment

5.7

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of July 2025, in the Relational Databases Tools category, the mindshare of Amazon Aurora is 2.9%, down from 4.2% compared to the previous year. The mindshare of Kinetica is 0.3%, up from 0.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Relational Databases Tools

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 ( /products/amazon-aurora-reviews ) 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 ( /products/amazon-aws-reviews ), 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 ( /products/snowflake-reviews ). This makes Amazon Aurora a compelling choice for my organization.

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SunilAgarwal

Executive Vice President and Global Head of Research and Development at Bqube Global

Easy to scale and good record to report capabilities but needs better training

It's not a very popular tool. There are very limited resources available in the market in terms of implementation. They need to offer training plans for graduates so that more resources are available in the market. The support needs to be faster. The solution needs to be lighter. It's a bit too heavy.

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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 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."

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

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

"Amazon Aurora stands out for its ease of use in a managed environment, inbuilt security, continuous backups, numerous read replicas, multi-region automated replication, and seamless integration with other AWS services."

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

"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."

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

More Amazon Aurora pros

"The solution scales easily."

Cons

"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."

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

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

"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."

"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 are tuning challenges."

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

More Amazon Aurora cons

"There are very limited resources available in the market in terms of implementation. They need to offer training plans for graduates so that more resources are available in the market."

Pricing and Cost Advice

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

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

"It is an expensive solution."

"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."

Information not available

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Top Industries

By visitors reading reviews

Financial Services Firm

25%

Computer Software Company

15%

Government

Healthcare Company

No data available

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

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?

Amazon Aurora is not very expensive as other solutions with similar features from other vendors come at almost the same cost. I rated it as two to three on a scale where ten is very expensive.

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What needs improvement with Amazon Aurora?

Amazon Aurora should upgrade its base PostgreSQL ( /products/postgresql-reviews ) versions more frequently and offer all PostgreSQL extensions. Keeping extensions up-to-date with PostgreSQL release...

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Comparisons

SQL Server vs Amazon Aurora

Compared 27% of the time

Oracle Database vs Amazon Aurora

Compared 18% of the time

MariaDB vs Amazon Aurora

Compared 8% of the time

Citus Data vs Amazon Aurora

Compared 8% of the time

YugabyteDB vs Amazon Aurora

Compared 7% of the time

More Amazon Aurora Competitors

Oracle Database Cloud Service vs Kinetica

Compared 59% of the time

Heavy.AI vs Kinetica

Compared 41% of the time

More Kinetica Competitors

Product Reports

Buyer's Guide

Amazon Aurora

July 2025

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Buyer's Guide

Relational Databases Tools

July 2025

Download Kinetica 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)

Kinetica is the active analytics leader in the Extreme Data Economy. The Kinetica Active Analytics Platform combines streaming and historical data with location intelligence and machine learning-powered analytics. Organizations across automotive, energy, telecommunications, retail, and financial services, leverage the platform’s GPU-accelerated computing power to build custom analytical applications for real-time insight.

Kinetica

Sample Customers

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

Gsk, Defense Innovation Unit, Citibank, PubMatic,OVO

Buyer's Guide

Relational Databases Tools

July 2025

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