Software Alternatives, Accelerators & Startups

SAP SQL Anywhere VS Amazon Aurora

Compare SAP SQL Anywhere VS Amazon Aurora and see what are their differences

SAP SQL Anywhere logo SAP SQL Anywhere

Rapidly design and deploy embedded database applications that run remotely on servers, laptops, handhelds, and smartphones with SAP SQL Anywhere relational database management system (RDBMS) solutions.

Amazon Aurora logo Amazon Aurora

MySQL and PostgreSQL-compatible relational database built for the cloud. Performance and availability of commercial-grade databases at 1/10th the cost.
  • SAP SQL Anywhere Landing page
    Landing page //
    2023-09-30
  • Amazon Aurora Landing page
    Landing page //
    2023-03-17

SAP SQL Anywhere features and specs

  • Mobility Support
    SAP SQL Anywhere offers excellent support for mobile applications, allowing data synchronization and seamless integration with mobile devices.
  • Embedded Database Capabilities
    The software is well-suited for environments where an embedded database is required, providing robust features in a compact footprint.
  • Ease of Use
    SAP SQL Anywhere is designed to be user-friendly with a simpler setup process compared to other enterprise-level database solutions.
  • Reliable Performance
    The database system is known for delivering reliable performance across different platforms and handling a variety of workloads efficiently.
  • Data Synchronization
    It provides advanced data synchronization features, enabling real-time data updates and consistency across multiple systems and devices.

Possible disadvantages of SAP SQL Anywhere

  • Limited Scalability
    Compared to some larger database systems like SAP HANA or Oracle, SQL Anywhere might face limitations when dealing with extremely large-scale enterprise-level applications.
  • Cost
    The licensing costs can be a concern for small to mid-sized companies, potentially making it an expensive choice for some applications.
  • Complex Advanced Features
    While it is user-friendly for basic operations, some users might find the advanced features to be complex or challenging to implement without specific expertise.
  • Integration Challenges
    Integration with non-SAP systems could be less straightforward, requiring additional effort or middleware solutions to achieve seamless interoperability.
  • Community and Support
    The community and third-party support for SAP SQL Anywhere might not be as extensive as more popular databases, potentially limiting the availability of resources and expertise.

Amazon Aurora features and specs

  • High Performance
    Amazon Aurora is designed to provide up to five times the throughput of standard MySQL and three times the throughput of standard PostgreSQL databases.
  • Scalability
    Aurora scales storage automatically, growing from 10GB up to 128TB with no downtime. This automatic scaling makes it ideal for applications with fluctuating workloads.
  • High Availability and Durability
    Aurora automatically replicates six copies of data across three availability zones and continuously backs up data to Amazon S3, ensuring durability.
  • Security
    Aurora offers multiple layers of security including network isolation using Amazon VPC, encryption at rest using keys that you create and control through AWS Key Management Service (KMS), and encryption of data in transit using SSL.
  • Fully Managed
    Aurora is fully managed by AWS, which automates time-consuming administrative tasks such as hardware provisioning, database setup, patching, and backups.
  • Compatibility
    Aurora is compatible with MySQL and PostgreSQL, making it easier to migrate existing applications to Aurora with minimal changes.

Possible disadvantages of Amazon Aurora

  • Cost
    Aurora can be more expensive than traditional RDS instances, particularly for workloads that do not fully utilize its high performance and scalability features.
  • Complexity
    The numerous features and configurations can make Aurora complex to manage and tune, especially for those who are not familiar with AWS services.
  • Vendor Lock-in
    Adopting Aurora ties you into the AWS ecosystem, which can make it difficult to migrate to other cloud providers or on-premises systems.
  • Cold Start Latency
    Aurora Serverless can experience latency during cold starts, which can be problematic for applications requiring instant scalability.
  • Limited to AWS Environment
    Aurora is only available within the AWS environment, which can be limiting if your infrastructure spans multiple cloud providers.

SAP SQL Anywhere videos

How to connect remotely from SAP SQL Anywhere on Windows to SAP ASE

Amazon Aurora videos

Introduction to Amazon Aurora - Relational Database Built for the Cloud - AWS

More videos:

  • Review - Amazon Aurora Global Database Deep Dive
  • Review - What's New in Amazon Aurora - AWS Online Tech Talks

Category Popularity

0-100% (relative to SAP SQL Anywhere and Amazon Aurora)
Databases
16 16%
84% 84
Relational Databases
19 19%
81% 81
Tool
31 31%
69% 69
NoSQL Databases
9 9%
91% 91

User comments

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Social recommendations and mentions

Based on our record, Amazon Aurora seems to be more popular. It has been mentiond 23 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

SAP SQL Anywhere mentions (0)

We have not tracked any mentions of SAP SQL Anywhere yet. Tracking of SAP SQL Anywhere recommendations started around Mar 2021.

Amazon Aurora mentions (23)

  • Building a RAG System for Video Content Search and Analysis
    Using Amazon Bedrock to invoke Amazon Titan Foundation Models for generating multimodal embeddings, Amazon Transcribe for converting speech to text, and Amazon Aurora postgreSQL for vector storage and similarity search, you can build an application that understands both visual and audio content, enabling natural language queries to find specific moments in videos. - Source: dev.to / about 1 month ago
  • Everyone Uses Postgres… But Why?
    Cloud deployment: PostgreSQL can be deployed in the cloud with AWS RDS, Amazon Aurora, Azure Database for PostgreSQL, or Cloud SQL for PostgreSQL. - Source: dev.to / 6 months ago
  • Announcing the public beta for dedicated clusters
    Today, our Postgres databases are Amazon Aurora instances. You can trust that your database will have the scalability, reliability and security that AWS is known for. With dedicated clusters you can configure both the Postgres engine version, cluster class and number of replicas for failover and query distribution. - Source: dev.to / 10 months ago
  • Vector database is not a separate database category
    As far as the big players are concerned, Google offers AlloyDB (https://cloud.google.com/alloydb) while Amazon offers Aurora (https://aws.amazon.com/rds/aurora/). - Source: Hacker News / over 1 year ago
  • Building realtime experiences with Amazon Aurora
    Aurora is a managed database service from Amazon compatible with MySQL and PostgreSQL. It allows for the use of existing MySQL code, tools, and applications and can offer increased performance for certain workloads compared to MySQL and PostgreSQL. - Source: dev.to / almost 2 years ago
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What are some alternatives?

When comparing SAP SQL Anywhere and Amazon Aurora, you can also consider the following products

Microsoft SQL - Microsoft SQL is a best in class relational database management software that facilitates the database server to provide you a primary function to store and retrieve data.

PostgreSQL - PostgreSQL is a powerful, open source object-relational database system.

MySQL - The world's most popular open source database

Oracle DBaaS - See how Oracle Database 12c enables businesses to plug into the cloud and power the real-time enterprise.

SAP HANA - SAP HANA is an in-memory, column-oriented, relational database management system.

SQLite - SQLite Home Page