Software Alternatives, Accelerators & Startups

Amazon Aurora VS adminMongo

Compare Amazon Aurora VS adminMongo 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.

adminMongo logo adminMongo

An open source admin user interface for your MongoDB
  • Amazon Aurora Landing page
    Landing page //
    2023-03-17
  • adminMongo Landing page
    Landing page //
    2019-07-03

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.

adminMongo features and specs

  • User-Friendly Interface
    adminMongo offers an intuitive and straightforward interface, making it easy for users to manage their MongoDB databases without requiring extensive technical knowledge.
  • Open Source
    Being an open-source tool, adminMongo allows developers to contribute to the codebase, ensuring continuous improvement and the ability to customize features according to user needs.
  • Multi-Platform Support
    adminMongo is compatible with various operating systems, including Windows, macOS, and Linux, offering flexibility in deployment across different environments.
  • Easy Installation
    The installation process for adminMongo is relatively straightforward, enabling users to get up and running quickly with minimal configuration required.
  • Basic Features for Management
    adminMongo provides essential features for database administration, such as viewing collections, editing documents, and running queries, which are sufficient for many use cases.

Possible disadvantages of adminMongo

  • Limited Advanced Features
    Compared to more comprehensive database management tools, adminMongo may lack advanced features such as detailed performance analytics, automated backups, or advanced querying options.
  • Security Concerns
    Running adminMongo on a production environment could pose security risks if not properly configured, as it provides a web interface to interact with databases.
  • Lack of Active Development
    The pace of development for adminMongo might be slower than desired, with fewer frequent updates or new features being released compared to some other tools.
  • Minimal Documentation
    The documentation for adminMongo may be less extensive, potentially making it challenging for new users to fully utilize all of its features without additional research.
  • Single Database Connection
    adminMongo may not support managing multiple database connections simultaneously as efficiently as some other database administration tools.

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

adminMongo videos

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

Add video

Category Popularity

0-100% (relative to Amazon Aurora and adminMongo)
Databases
89 89%
11% 11
Relational Databases
100 100%
0% 0
Web Development Tools
0 0%
100% 100
NoSQL Databases
89 89%
11% 11

User comments

Share your experience with using Amazon Aurora and adminMongo. 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 / 25 days 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 / 9 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

adminMongo mentions (0)

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

What are some alternatives?

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

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

Mongoku - A neat Web-based GUI for MongoDB

MySQL - The world's most popular open source database

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

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

Mongotron - Cross platform MongoDB management. Open source, built using Electron and Angular JS.