Software Alternatives, Accelerators & Startups

JawsDB VS Amazon Aurora

Compare JawsDB VS Amazon Aurora and see what are their differences

JawsDB logo JawsDB

Fast, reliable, no-bullshark MySQL as a service

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.
  • JawsDB Landing page
    Landing page //
    2022-10-05
  • Amazon Aurora Landing page
    Landing page //
    2023-03-17

JawsDB features and specs

  • Scalability
    JawsDB offers scalable database solutions which make it suitable for applications that anticipate growth in data size or user demand.
  • Managed Hosting
    As a managed service, JawsDB handles routine maintenance, updates, and backups, allowing developers to focus more on application development rather than database management.
  • AWS Integration
    JawsDB is built on Amazon Web Services, ensuring reliability and robust infrastructure support.
  • Ease of Use
    JawsDB provides a straightforward setup process that allows users to quickly deploy a MySQL or PostgreSQL database without extensive configuration.
  • Multiple Plan Options
    JawsDB offers various pricing tiers and database size options, catering to different needs from development environments to production applications.

Possible disadvantages of JawsDB

  • Cost
    While JawsDB offers a free tier for smaller databases, costs can escalate as your database requirements grow, which might be challenging for startups or projects on tight budgets.
  • Limited Customization
    As a managed database solution, there may be limitations on how much you can customize the server environment compared to self-hosted solutions.
  • Vendor Lock-In
    Using JawsDB ties you to their service, which can make migrating to another provider more complex if your needs change.
  • Support
    Depending on the plan and service level agreements, the support options may not be as comprehensive or responsive as some users might require in mission-critical situations.
  • Feature Limitations
    JawsDB, being a managed database service, may not support certain advanced database features or custom configurations that some specialized applications might need.

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.

JawsDB videos

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

Add video

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 JawsDB and Amazon Aurora)
Databases
11 11%
89% 89
NoSQL Databases
19 19%
81% 81
Relational Databases
0 0%
100% 100
Web Development Tools
100 100%
0% 0

User comments

Share your experience with using JawsDB and Amazon Aurora. 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.

JawsDB mentions (0)

We have not tracked any mentions of JawsDB yet. Tracking of JawsDB 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 / 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

What are some alternatives?

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

Mongoku - A neat Web-based GUI for MongoDB

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

MongoLab - MongoLab is a fully managed MongoDB Database-as-a-Service platform that automates the operational aspects of running MongoDB in the cloud.

MySQL - The world's most popular open source database

adminMongo - An open source admin user interface for your MongoDB

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