Amazon Aurora vs SAP SQL Anywhere comparison

Amazon Web Services (AWS) and SAP are both solutions in the Relational Databases Tools category. Amazon Web Services (AWS) is ranked #5 with an average rating of 8.6, while SAP is ranked #35. Amazon Web Services (AWS) holds a 3.2% mindshare in SQL, compared to SAP’s 1.4% mindshare. Additionally, 100% of Amazon Web Services (AWS) users are willing to recommend the solution, compared to 83% of SAP users who would recommend it.

Amazon Aurora

Read 21 Amazon Aurora reviews

3,447 Views
3,206 Comparison Views

100% willing to recommend

SAP SQL Anywhere

Read 6 SAP SQL Anywhere reviews

1,381 Views
1,284 Comparison Views

83% willing to recommend

Amazon Aurora

SAP SQL Anywhere

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Executive SummaryUpdated on Mar 4, 2025

SAP SQL Anywhere and Amazon Aurora compete in the database solutions category. Amazon Aurora is often seen as superior due to its advanced cloud capabilities and superior scalability in cloud-centric environments.

Features: SAP SQL Anywhere provides robust mobile support and synchronization, ideal for edge applications. It is also known for its intuitive user interface and ease of management in offline scenarios. Amazon Aurora offers high availability, fault tolerance, and autoscaling, with integration into AWS services. Its self-managing capabilities, such as log rolling and autoscaling, reduce user input significantly.

Room for Improvement: SAP SQL Anywhere could enhance its cloud integration capabilities and improve automatic scaling features to better compete with cloud-native solutions. Improving its customer support infrastructure would also be beneficial. Amazon Aurora could refine its pricing model to make it more attractive for smaller deployments and improve the ease of migration for non-AWS users. Simplifying its user interface for less technical users could also be beneficial.

Ease of Deployment and Customer Service: SAP SQL Anywhere is noted for simpler deployment in hybrid and offline scenarios, appealing to organizations with existing on-premise infrastructure. Amazon Aurora leverages AWS's comprehensive suite of cloud services for deployment, providing automated scaling and management. Its customer service benefits from AWS's robust support network, facilitating cloud adoption for larger applications.

Pricing and ROI: SAP SQL Anywhere offers a lower initial setup cost, making it suitable for on-premise scenarios with significant offline needs. Its pricing can be a major advantage for users who do not require cloud scalability. Amazon Aurora employs a scalable pricing model, providing better long-term ROI for large-scale applications due to its pay-as-you-go approach and reduced management overhead. This makes it cost-effective for large deployments despite potentially higher initial costs.

To learn more, read our detailed Amazon Aurora vs. SAP SQL Anywhere Report (Updated: August 2026).

Buyer's Guide

Amazon Aurora vs. SAP SQL Anywhere

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)

SAP SQL Anywhere

Ranking in Relational Databases Tools

35th

Average Rating

7.6

Reviews Sentiment

7.5

Number of Reviews

Ranking in other categories

No ranking in other categories

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 SAP SQL Anywhere is 1.4%, up from 0.9% 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%
SAP SQL Anywhere	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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Crewmem67

IT Consultant at College Notre Dame de Nazareth

Reliable and able to expand but needs to be more secure

It is not as good as a SQL Server. I prefer to work with the SQL Server for Microsoft or Oracle. These are better as there are some comments on SQL Anywhere that makes me feel that I'm blocked. We'd like to have them update to a new version. They should update more often. I find I can't move to a new version without running tests as there are chances of bugs that can get into my system. The initial setup is not simple or straightforward, and it took a while to deploy. It is not as secure as it could be. This is an aspect they need to improve. There needs to be more encryption.

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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 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."

"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."

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

"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."

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

"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."

"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."

More Amazon Aurora pros

"The most valuable features of SAP SQL Anywhere are the ease of use and the user interface is intuitive."

"It's a great product to use if you are already have an integration with SAP's ERP/CRM systems."

"SQL Anywhere is easy and it did not cost as much as SQL Microsoft."

"We've found the solution very reliable overall. It's very fast."

"SAP SQL Anywhere is very helpful."

"The auto-backup replication is a perfect feature. That is the feature I liked the most."

"It works well in general."

Cons

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

"There are tuning challenges. The same methods used for tuning in RDS might not work in Aurora, and some functionalities available in MySQL may not be compatible with Aurora."

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

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

"Amazon can make better access levels and reduce costs for Amazon Aurora."

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

"There are tuning challenges."

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

More Amazon Aurora cons

"It is not as secure as it could be; there needs to be more encryption and we can find passwords very easily."

"It is not as secure as it could be."

"Performance issues when syncing the MBO packages to the server."

"The interface is not easy in comparison to the SQL Server. It could be more user-friendly."

"A problem we are experiencing now is when doing a backup in SQL 2012 and 14 there's a problem with the license."

"We have had some stability issues with SAP SQL Anywhere, but I am not sure if it is an application or network issue. We sometimes have a large amount of data being queried and it cannot handle it."

"SAP SQL Anywhere needs to incorporate functionalities like SAP S/4HANA."

Pricing and Cost Advice

"It is quite expensive."

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

"It is an expensive solution."

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

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

"There is no need to buy a license for the product. We can pay as per the use case."

"SQL Anywhere cost us about $400."

"SAP SQL Anywhere is affordable."

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Top Industries

By visitors reading reviews

Financial Services Firm

12%

Healthcare Company

11%

University

11%

Manufacturing Company

Healthcare Company

Construction Company

University

Manufacturing 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

No data available

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?

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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.

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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

MySQL vs SAP SQL Anywhere

Compared 17% of the time

SQL Server vs SAP SQL Anywhere

Compared 16% of the time

Oracle Database vs SAP SQL Anywhere

Compared 13% of the time

OpenText Analytics Database (Vertica) vs SAP SQL Anywhere

Compared 10% of the time

SAP IQ vs SAP SQL Anywhere

Compared 7% of the time

More SAP SQL Anywhere Competitors

Product Reports

Buyer's Guide

Amazon Aurora

August 2026

Download Amazon Aurora product report

Buyer's Guide

Relational Databases Tools

August 2026

Download SAP SQL Anywhere product report

Also Known As

No data available

Sybase SQL Anywhere

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)

SAP SQL Anywhere provides rugged database management for diverse environments, efficiently handling data synchronization and processing for embedded and mobile applications. Its flexibility and reliability make it suitable for enterprises needing robust data solutions.

SAP SQL Anywhere is known for its ability to run in resource-constrained environments, supporting mobile and remote database access without sacrificing performance. It offers comprehensive data management capabilities, ensuring seamless data integration and synchronization across varying platforms. This scalability complements business growth and evolving data needs, providing a cost-effective way to manage data across mobile and embedded applications.

What are the noteworthy features of SAP SQL Anywhere?

SQL Database Server: Efficiently manages data with full support for SQL standards.
Data Synchronization: Ensures consistent data across multiple devices in real-time.
Cross-platform Support: Operates on multiple operating systems, enhancing versatility.
Security Features: Provides encryption and authentication for data protection.

Why choose SAP SQL Anywhere for your business?

Cost Efficiency: Reduces IT overhead with minimal maintenance requirements.
Adaptability: Fits seamlessly into existing infrastructures, reducing integration costs.
Scalability: Grows with business needs without requiring substantial reinvestment.
Reliability: Offers high performance even in offline settings, ensuring continuous access.

Industries such as retail, healthcare, and manufacturing use SAP SQL Anywhere to support mobile field operations, enabling data access and updates in remote locations. This adaptability enhances operational efficiency, providing crucial support in environments where real-time data handling is critical.

SAP

Sample Customers

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

AOK Bundesverband, Surgutneftegas Open Joint Stock Company, Molson Coors Brewing Company, City of Buenos Aires, ASR Group, Citrix, EarlySense, Usha International Limited, Automotive Resources International, Wªrth Group, Takisada-Osaka Co. Ltd., Coelba, RZD Russian Railways, National Basketball Association, TALLY WEiJL

Buyer's Guide

Amazon Aurora vs. SAP SQL Anywhere

August 2026

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