Software Alternatives, Accelerators & Startups
Register | Login

Amazon Aurora VS Database Master

Compare Amazon Aurora VS Database Master and see what are their differences

Draxlr
Turn SQL Data into Decisions. Build professional dashboards and data visualizations without technical expertise. Easily embed analytics anywhere, receive automated alerts, and discover AI-powered insights all through a straightforward interface. featured
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.
Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

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.

Database Master logo Database Master

Business Intelligence, Business Analytics, Data Science, Big Data, Nucleon BI, R, MongoDB, NOSQL, SQL, Data Mining
  • Amazon Aurora Landing page
    Landing page //
    2023-03-17
  • Database Master Landing page
    Landing page //
    2019-03-20

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.

Database Master features and specs

  • Comprehensive Toolset
    Database Master offers a wide range of database management tools, including data modeling, SQL editing, and reporting, making it a versatile choice for database management.
  • Multi-Database Support
    Supports various types of databases such as SQL Server, MySQL, and PostgreSQL, providing flexibility across different projects and environments.
  • User-Friendly Interface
    The software features an intuitive GUI, which helps both beginners and experienced users navigate and manage databases efficiently.
  • Data Visualization
    Includes built-in data visualization capabilities, allowing users to create charts and reports that aid in data analysis and decision-making.
  • Advanced Query Functions
    Equipped with powerful query-building tools that support writing, testing, and optimizing SQL queries with ease.

Possible disadvantages of Database Master

  • Cost
    The full-featured versions of Database Master may be expensive for small businesses or individual users compared to some open-source alternatives.
  • Learning Curve
    While it has a user-friendly interface, the software encompasses numerous features that may require time and effort to master fully.
  • Performance Limitations
    Some users report performance issues when handling very large databases or executing complex queries.
  • Limited Community Support
    Compared to more widely adopted solutions, there might be less community support and fewer third-party resources or plugins.
  • Platform Dependence
    May not offer the same level of functionality or support across different operating systems, which could be a limitation for cross-platform users.

Analysis of Amazon Aurora

Overall verdict

  • Amazon Aurora is generally regarded as an excellent database service for businesses that require robust performance and high availability. It strikes a balance between cost-effectiveness and advanced database features, making it suitable for a wide range of applications.

Why this product is good

  • Amazon Aurora is considered a good choice for many applications due to its high performance, scalability, and compatibility with popular database systems like MySQL and PostgreSQL. It offers features like automated backups, quick failover, and replication capabilities. Aurora is designed to be fault-tolerant and highly available, providing a fully managed solution that relieves users from the operational burden associated with on-premise database management.

Recommended for

    Amazon Aurora is recommended for organizations that need reliable, scalable, and high-performance databases. It is well-suited for web and mobile applications, e-commerce platforms, real-time analytics, and other use cases requiring high availability and fault tolerance. It's ideal for businesses looking to modernize their database infrastructure and take advantage of cloud-native capabilities.

Amazon Aurora videos

+ Add

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

Database Master videos

No Database Master videos yet. You could help us improve this page by suggesting one.

Add video

Category Popularity

0-100% (relative to Amazon Aurora and Database Master)

Amazon Aurora

Database Master

Databases
100 100%
Databases
0% 0
Database Management
0 0%
Database Management
100% 100
Relational Databases
100 100%
Relational Databases
0% 0
System & Hardware
0 0%
System & Hardware
100% 100

User comments

Share your experience with using Amazon Aurora and Database Master. For example, how are they different and which one is better?
Log in or Post with

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.

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 / 2 months 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 / 7 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 / 11 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
View more

Database Master mentions (0)

We have not tracked any mentions of Database Master yet. Tracking of Database Master recommendations started around Mar 2021.

What are some alternatives?

When comparing Amazon Aurora and Database Master, you can also consider the following products

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

SysTools DBX Converter - DBX to PST Converter tool helps to easily migrate from Outlook Express to Outlook PST, MSG, EML.

MySQL - The world's most popular open source database

InterSystems IRIS - InterSystems IRIS Data Platform sets a new level of performance for rapidly developing and deploying applications. Learn how it can help your organization.

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

Toad Edge - Windows GUI for MySQL. SQL Syntax Check. Freeware (Basic Features) & Payware (Extended Features).

Loading...