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 #5 with an average rating of 8.6, while IgniteTech is ranked #36. Amazon Web Services (AWS) holds a 3.2% mindshare in SQL, compared to IgniteTech’s 1.4% 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 21 Amazon Aurora reviews

3,447 Views
3,206 Comparison Views

100% willing to recommend

Infobright DB

Read 10 Infobright DB reviews

2,204 Views
1,146 Comparison Views

80% willing to recommend

Amazon Aurora

Infobright DB

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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: August 2026).

Buyer's Guide

Amazon Aurora vs. Infobright DB

August 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

Ranking in Relational Databases Tools

5th

Average Rating

8.4

Reviews Sentiment

6.1

Number of Reviews

Ranking in other categories

Database Management Systems (DBMS) (6th)

Infobright DB

Ranking in Relational Databases Tools

36th

Average Rating

7.6

Reviews Sentiment

6.3

Number of Reviews

Ranking in other categories

Data Warehouse (19th)

Mindshare comparison

As of August 2026, in the Relational Databases Tools category, the mindshare of Amazon Aurora is 3.2%, up from 2.8% compared to the previous year. The mindshare of Infobright DB is 1.4%, up from 0.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Relational Databases Tools Mindshare Distribution
Product	Mindshare (%)
Amazon Aurora	3.2%
Infobright DB	1.4%
Other	95.4%

Relational Databases Tools

Featured Reviews

SivashankarRajaram

Principal Engineer at a tech vendor with 10,001+ employees

Cloud database has delivered high performance and cost savings for data recovery and growth

Amazon can make better access levels and reduce costs for Amazon Aurora. A cost reduction would support multiple teams to adopt this solution since the cost is currently higher. Comparatively, we have the feature of scaling and everything we need. If you launch PostgreSQL on-premises, you need to have a separate DBA for maintenance and everything. If Amazon reduces the cost of Amazon Aurora, it would support large team adoption. A great feature to see in the next version of Amazon Aurora would be improvements in vectorization. In our PostgreSQL, we have pg_vector that helps with vectorizing many of the tables and that is used for data science projects. If Amazon improves this vectorization, it would be much more useful for data science and AI projects.

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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

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

"The main benefits my company receives from Amazon Aurora are performance and cost."

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

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

"Another advantage is that with AWS handling administration, responsibilities like database provisioning and maintenance are significantly reduced."

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

"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."

"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."

More Amazon Aurora pros

"ICE helped us improve the speed for the “group-by” query by 10x."

"It is very straightforward and easy to work with."

"We now have multiple times faster queries in comparison to MS SQL."

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

"The performance of ad hoc aggregation queries is superior to any RDBMS that I have used and I have used them all."

"Infobright allowed us to reduce the number of moving parts and complexity that we had while providing good performance to produce our reports."

"Infobright gave us the ability to avoid significant changes in our data structure and just use Infobright like BigDataMySql."

"A valuable feature was the use of a columnar database for large, ever-growing, big datasets."

More Infobright DB pros

Cons

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

"There should be constant changes, which can be challenging to keep up with annually."

"When using the serverless version of Amazon Aurora, I encountered issues such as the inbuilt query editor not being available."

"Aurora’s finance aspects could be improved, particularly in reducing the per-hour use cost."

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

"In my experience, I didn't see the claimed speed, and when you factor in the cost, or the extra cost of Aurora compared to a normal database, it didn't justify the cost from a performance standpoint, but it did justify the cost because we didn't have to have multiple instances, Redis caches, and other things like that."

"Sometimes mistakes can be easily made, and people can waste money by mistake if they do not know what they are doing."

"I would like to see some tutorials from Amazon for Aurora because I'm too new to it."

More Amazon Aurora cons

"On the contrary, we have switched back to the MS SSAS Tabular Model, because of pricing policy."

"MPP, distributed processing!!! And better integration with Hadoop."

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

"There still are issues with data replication - Infobright is currently for one server (unless you buy the Infobright appliance)."

"We didn’t purchase the Enterprise Edition because it was too expensive for a product that wasn’t going to replace our main DWH database (Oracle), but was, somehow, only an addition for it."

"There was no scalability at all. Infobright didn't permit any changes in tables."

"When running a complex subquery, the system hangs without giving the user any response."

"After all the re-work to our product to remove as much reliance on Infobright, and the extra hardware costs we had to absorb, there was definitely a negative return on investment."

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 quite expensive."

"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 an expensive solution."

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

"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

12%

Healthcare Company

11%

University

11%

Manufacturing Company

18%

Construction Company

16%

Comms Service Provider

11%

Outsourcing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	5
Midsize Enterprise	4
Large Enterprise	14

By reviewers
Company Size	Count
Small Business	8
Midsize Enterprise	1
Large Enterprise	2

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. ...

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What needs improvement with Amazon Aurora?

See all answers

What is your primary use case for Amazon Aurora?

Amazon Aurora is a service provided by AWS, and we received support from AWS for our implementation. The direction we are moving toward is specifically Amazon Aurora PostgreSQL.

See all answers

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Comparisons

YugabyteDB vs Amazon Aurora

Compared 12% of the time

Oracle Database vs Amazon Aurora

Compared 12% of the time

SQL Server vs Amazon Aurora

Compared 9% of the time

Oracle Database Cloud Service vs Amazon Aurora

Compared 8% of the time

CockroachDB vs Amazon Aurora

Compared 7% of the time

More Amazon Aurora Competitors

VMware Tanzu Data Solutions vs Infobright DB

Compared 10% of the time

MySQL vs Infobright DB

Compared 8% of the time

OpenText Analytics Database (Vertica) vs Infobright DB

Compared 7% of the time

SQL Server vs Infobright DB

Compared 5% of the time

Amazon RDS on Outposts vs Infobright DB

Compared 5% of the time

More Infobright DB Competitors

Product Reports

Buyer's Guide

Amazon Aurora

August 2026

Download Amazon Aurora product report

Buyer's Guide

Infobright DB

August 2026

Download Infobright DB product report

Also Known As

No data available

Infobright

Overview

Amazon Aurora offers a relational database service with high availability and compatibility with MySQL and PostgreSQL. It is designed for efficient scalability and seamless integration within AWS, making it optimal for applications requiring robust performance and reliability.

Amazon Aurora distinguishes itself through its managed maintenance, ensuring high operational efficiency. It provides users with the ability to auto-scale their database resources, allowing businesses to maintain cost efficiency without sacrificing performance. The service includes robust disaster recovery options and supports up to sixteen read replicas, which are critical for mission-critical applications. Users benefit from smooth, cross-region replication and integration capabilities with other AWS services, enhancing data reliability and accessibility.

What are the most important features of Amazon Aurora?

Multiple-read and single-write capabilities: Offers versatile data handling for improved performance.
Seamless SQL standardization: Ensures compatibility with existing systems.
Auto-scaling: Adjusts resources dynamically based on workload demands.
High performance: Provides efficient data processing and fast response times.
Integration with AWS services: Enhances functionality through a secure ecosystem.

What benefits and ROI should users consider?

Cost management: Efficient scaling reduces unnecessary expenditure.
Reliability: Fault tolerance and replication ensure data availability.
Operational efficiency: Managed maintenance lowers administrative overhead.
Scalability: Supports seamless service adaptation to changing business needs.

Amazon Aurora is extensively used across various industries such as finance, e-commerce, and healthcare, supporting internal applications with its relational database prowess. Many organizations leverage its serverless capabilities and cost-effective scalability for developing business intelligence and payment processing solutions. The seamless migration assistance from Oracle databases further underscores its appeal for enterprises looking to optimize database performance and reduce operational costs.

Amazon Web Services (AWS)

Infobright DB is an established column-oriented database management system known for its analytical prowess in storing and managing large volumes of data efficiently.

Designed to handle intense data workloads, Infobright DB supports data warehousing and business intelligence operations. It is favored for its efficient use of storage and processing capabilities, making it an ideal choice for companies analyzing massive datasets. Infobright DB's analytic algorithms and data compression techniques make it suitable for enterprises seeking to process queries rapidly.

What are the essential features of Infobright DB?

Columnar Storage: Optimizes read performance by storing data in columns.
Data Compression: Reduces storage needs with advanced compression techniques.
Query Performance: Enhances speed through automatic query optimization.
Scalability: Handles terabytes of data without compromising performance.
Self-Management: Minimizes administrative tasks with automated maintenance.

What benefits should users consider when evaluating Infobright DB?

Cost Efficiency: Lower storage costs due to high data compression.
Improved Analytics: Faster data insights lead to better decision-making.
Resource Optimization: Requires fewer resources for maintenance and scaling.
Operational Simplicity: Ease of integration with existing systems.

Infobright DB is prevalent in industries like finance and telecommunications, providing robust data analysis and reporting capabilities. Its ability to manage large datasets efficiently makes it suitable for sectors needing real-time analytics and deep data insights.

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

August 2026

Free Report: Amazon Aurora vs. Infobright DB

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