Amazon Aurora vs IBM solidDB comparison

Amazon Web Services (AWS) and IBM are both solutions in the Relational Databases Tools category. Amazon Web Services (AWS) is ranked #7 with an average rating of 8.4, while IBM is ranked #33. Amazon Web Services (AWS) holds a 3.1% mindshare in SQL, compared to IBM’s 0.3% mindshare. Additionally, 100% of Amazon Web Services (AWS) users are willing to recommend the solution, compared to 100% of IBM users who would recommend it.

Amazon Aurora

Read 18 Amazon Aurora reviews

2,651 Views
2,356 Comparison Views

100% willing to recommend

IBM solidDB

Read 1 IBM solidDB review

226 Views
128 Comparison Views

100% willing to recommend

Amazon Aurora

IBM solidDB

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Executive Summary

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

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

To learn more, read our detailed Relational Databases Tools Report (Updated: May 2025).

Buyer's Guide

Relational Databases Tools

May 2025

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Helped 851,471 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

7th

Average Rating

8.2

Reviews Sentiment

6.6

Number of Reviews

Ranking in other categories

No ranking in other categories

IBM solidDB

Ranking in Relational Databases Tools

33rd

Average Rating

9.0

Reviews Sentiment

7.4

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of May 2025, in the Relational Databases Tools category, the mindshare of Amazon Aurora is 3.1%, down from 4.2% compared to the previous year. The mindshare of IBM solidDB is 0.3%, up from 0.2% 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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it_user722241

Senior System Engineer at a comms service provider with 1,001-5,000 employees

No other solution came close to this product's speed and tech support is on a really high level

If you need local DB cache with extreme speed, then go for it, if you need something to work as a distributed cloud database, then solidDB would not be the right decision. With our Telco experience, we help with suggestions for new features and improvements of existing ones for new versions of solidDB. Also, in our labs, we do some pre-alpha testing to help them to complete some new features in the right way.

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Top Industries

By visitors reading reviews

Financial Services Firm

28%

Computer Software Company

13%

Government

Insurance 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.

See all answers

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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Will IBM become the last emperor?

Your concern as a mainframe engineer is understandable, and the decision by Fujitsu to give up its mainframe business is significant, raising questions about the future of the mainframe market. How...

See all answers

Comparisons

SQL Server vs Amazon Aurora

Compared 34% of the time

Oracle Database vs Amazon Aurora

Compared 23% 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 7% of the time

More Amazon Aurora Competitors

MySQL vs IBM solidDB

Compared 100% of the time

More IBM solidDB Competitors

Product Reports

Buyer's Guide

Amazon Aurora

May 2025

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Buyer's Guide

Relational Databases Tools

May 2025

Download IBM solidDB product report

Also Known As

No data available

solidDB

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)

IBM solidDB is a relational database server that combines the high performance of in-memory tables with the nearly unlimited capacity of disk-based tables.

Pure in-memory databases are fast, but strictly limited by the size of memory. Pure disk-based databases allow nearly unlimited amounts of storage, but their performance is dominated by disk access. Even if the computer has enough memory to store the entire database in memory buffers, database servers that are designed for disk-based tables can be slow because the data structures that are optimal for disk-based tables are far from being optimal for in-memory tables. The solidDB solution is to provide a single hybrid database server that contains two optimized engines inside it:

The main-memory engine (MME) is optimized for in-memory access.
The disk-based engine (DBE) is optimized for disk-based access.

Both engines coexist inside the same server process, and a single SQL statement can access data from both engines.

IBM

Sample Customers

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

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Buyer's Guide

Relational Databases Tools

May 2025

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