Software Alternatives, Accelerators & Startups

Amazon Aurora VS MongoLab

Compare Amazon Aurora VS MongoLab and see what are their differences

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.

MongoLab logo MongoLab

MongoLab is a fully managed MongoDB Database-as-a-Service platform that automates the operational aspects of running MongoDB in the cloud.
  • Amazon Aurora Landing page
    Landing page //
    2023-03-17
  • MongoLab Landing page
    Landing page //
    2023-03-12

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.

MongoLab features and specs

  • Scalability
    MongoLab offers significantly scalable cloud-based MongoDB services which allow users to easily scale their databases without worrying about underlying infrastructure management.
  • Automated Backups
    MongoLab provides automated backups, ensuring that your data is regularly saved and can be restored in case of any data loss incidents.
  • High Availability
    MongoLab ensures high availability with features like replica sets, providing reliability and uptime for your applications.
  • Ease of Use
    MongoLab offers an easy-to-use interface for managing MongoDB databases, making it accessible even for users who are not deeply technical.
  • Integration
    MongoLab can easily integrate with popular platforms and services like Heroku, making it convenient for developers to incorporate MongoDB into their existing workflows.

Possible disadvantages of MongoLab

  • Pricing
    MongoLab can become expensive as your database scales up, especially for larger businesses with significant storage and processing requirements.
  • Limited Control
    Using MongoLab's managed services may offer less control over server configurations compared to self-hosted MongoDB instances.
  • Performance Variability
    As with many cloud services, there can be variability in performance based on network conditions and shared infrastructure.
  • Vendor Lock-in
    Relying heavily on a single service provider like MongoLab can create difficulties if you decide to migrate to another provider or an on-premise solution in the future.
  • Data Security Concerns
    While MongoLab offers data security, some businesses may have concerns about storing sensitive data on third-party cloud platforms.

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

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

MongoLab videos

16. The Database - Signing Up on MongoLab.com

Category Popularity

0-100% (relative to Amazon Aurora and MongoLab)
Databases
91 91%
9% 9
Relational Databases
100 100%
0% 0
NoSQL Databases
83 83%
17% 17
Developer Tools
0 0%
100% 100

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.

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 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 / 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
View more

MongoLab mentions (0)

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

What are some alternatives?

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

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

JawsDB - Fast, reliable, no-bullshark MySQL as a service

MySQL - The world's most popular open source database

Mongoku - A neat Web-based GUI for MongoDB

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

MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.