Amazon Aurora vs Infobright DB comparison

Amazon Web Services (AWS) and IgniteTech are both solutions in the Relational Databases Tools category. Amazon Web Services (AWS) is ranked #7 with an average rating of 8.5, while IgniteTech is ranked #38. Amazon Web Services (AWS) holds a 2.8% mindshare in SQL, compared to IgniteTech’s 0.5% mindshare. Additionally, 100% of Amazon Web Services (AWS) users are willing to recommend the solution, compared to 80% of IgniteTech users who would recommend it.

Amazon Aurora

Read 20 Amazon Aurora reviews

1,854 Views
1,817 Comparison Views

100% willing to recommend

Infobright DB

Read 10 Infobright DB reviews

399 Views
211 Comparison Views

80% willing to recommend

Amazon Aurora

Infobright DB

Comparison Buyer's Guide

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Executive SummaryUpdated on Mar 4, 2025

Infobright DB and Amazon Aurora are key players in the relational database market. Amazon Aurora stands out due to its advanced features and scalability, making it a preferred choice despite a higher price point.

Features: Infobright DB offers efficient data compression, a columnar database structure, and quick analytic processing at a low cost. It supports SQL language, which is advantageous for those familiar with MySQL. Amazon Aurora provides seamless AWS integration, high throughput, and robust auto-scaling capabilities. It simplifies database management with minimal maintenance, supporting large-scale operations efficiently.

Room for Improvement: Infobright DB could benefit from enhanced scalability and broader workload support. Its integration options are limited compared to others. Improvements in advanced features and infrastructure support could enhance its appeal. Amazon Aurora might improve in terms of user accessibility, as the learning curve can be steep due to its comprehensive functionality. Cost optimization for smaller businesses could broaden its user base. The reliance on AWS may limit flexibility for those using multi-cloud strategies.

Ease of Deployment and Customer Service: Infobright DB allows rapid setup with a straightforward deployment process. However, Amazon Aurora leverages AWS's powerful infrastructure for a more reliable deployment model. Aurora's customer service benefits from AWS's established support network, providing extensive and responsive service, though it may be more intricate to navigate initially.

Pricing and ROI: Infobright DB is appealing for budget-sensitive users, offering competitive pricing and minimal setup costs, with an attractive ROI for price-focused customers. Amazon Aurora, while costlier upfront, is seen as a valuable investment due to its cutting-edge capabilities and AWS integration, promising a higher long-term ROI. Its pricing is justified for those prioritizing performance and scalability.

To learn more, read our detailed Amazon Aurora vs. Infobright DB Report (Updated: September 2025).

Buyer's Guide

Amazon Aurora vs. Infobright DB

September 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

Infobright DB

Ranking in Relational Databases Tools

38th

Average Rating

7.6

Reviews Sentiment

6.3

Number of Reviews

Ranking in other categories

Data Warehouse (24th)

Mindshare comparison

As of September 2025, in the Relational Databases Tools category, the mindshare of Amazon Aurora is 2.8%, down from 4.0% compared to the previous year. The mindshare of Infobright DB is 0.5%, up from 0.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Relational Databases Tools Market Share Distribution
Product	Market Share (%)
Amazon Aurora	2.8%
Infobright DB	0.5%
Other	96.7%

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 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, 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. This makes Amazon Aurora a compelling choice for my organization.

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it_user708987

MySQL DBA at a financial services firm with 51-200 employees

Excellent reporting server that is compatible with MySQL

We ran into some quirks that Infobright had. We interacted with Infobright's support and were able to resolve them. There still are issues with data replication - Infobright is currently for one server (unless you buy the Infobright appliance). This would mean that redundancy is something you need to implement yourself.

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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

"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."

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

"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."

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

"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."

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

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

More Amazon Aurora pros

"It has very amazing smart grid query feature for very fast aggregate queries across millions of rows"

Cons

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

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

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

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

"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 more AI-related features in future releases."

"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

"Only the data from the columns that reached 2GB will actually decrease. Other columns below 2GB in size do not leave the disk."

Pricing and Cost Advice

"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 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."

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

"It is quite expensive."

"Our pricing was based on server instances and it was actually very cheap compared to Oracle. I guess you get what you pay for."

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Top Industries

By visitors reading reviews

Financial Services Firm

24%

Computer Software Company

16%

Government

Retailer

No data available

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	7
Midsize Enterprise	1
Large Enterprise	2

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

SQL Server vs Amazon Aurora

Compared 20% of the time

Oracle Database vs Amazon Aurora

Compared 15% of the time

MariaDB vs Amazon Aurora

Compared 8% of the time

Citus Data vs Amazon Aurora

Compared 7% of the time

YugabyteDB vs Amazon Aurora

Compared 6% of the time

More Amazon Aurora Competitors

NuoDB vs Infobright DB

Compared 100% of the time

More Infobright DB Competitors

Product Reports

Buyer's Guide

Amazon Aurora

September 2025

Download Amazon Aurora product report

Buyer's Guide

Infobright DB

September 2025

Download Infobright DB product report

Also Known As

No data available

Infobright

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)

Infobright's high performance analytic database is designed for analyzing large volumes of machine-generated data

IgniteTech

Sample Customers

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

REZ-1, SonicWALL, IntegriChain, Fuseforward International Inc., Polystar, Live Rail, Mavenir Systems, JDSU Partners, Bango

Buyer's Guide

Amazon Aurora vs. Infobright DB

September 2025

Free Report: Amazon Aurora vs. Infobright DB

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