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  1. Stackups
  2. Application & Data
  3. Relational Databases
  4. Postgresql As A Service
  5. Azure Database for PostgreSQL vs ElephantSQL

Azure Database for PostgreSQL vs ElephantSQL

OverviewComparisonAlternatives

Overview

ElephantSQL
ElephantSQL
Stacks15
Followers86
Votes15
Azure Database for PostgreSQL
Azure Database for PostgreSQL
Stacks56
Followers103
Votes0

Azure Database for PostgreSQL vs ElephantSQL: What are the differences?

  1. Pricing Model: Azure Database for PostgreSQL follows a pay-as-you-go pricing model based on resources consumed, whereas ElephantSQL offers a fixed pricing structure based on the plan selected, which may be more predictable for budgeting purposes.
  2. Managed Services: Azure Database for PostgreSQL is a fully managed service provided by Microsoft, offering automated backups, scaling, and maintenance, whereas ElephantSQL also provides managed services but may require more manual configurations for certain tasks.
  3. Integration with Azure Services: Azure Database for PostgreSQL seamlessly integrates with other Azure services for a comprehensive cloud solution, while ElephantSQL may not have the same level of integration capabilities with external services outside of its platform.
  4. Customization Options: Azure Database for PostgreSQL provides more flexibility and customization options for configurations and settings, accommodating specific database requirements, whereas ElephantSQL may have more limitations in terms of customization due to its fixed plans and offerings.
  5. Security Features: Azure Database for PostgreSQL offers advanced security features such as encryption at rest and in transit, advanced threat protection, and role-based access control, whereas ElephantSQL may have fewer security features by comparison, potentially requiring additional security measures to be implemented by the user.
  6. Scalability: Azure Database for PostgreSQL offers horizontal scaling options with flexible server configurations to accommodate varying workloads and demand, while ElephantSQL may have limited scalability options depending on the selected plan, potentially leading to performance limitations in high-volume scenarios.

In Summary, Azure Database for PostgreSQL and ElephantSQL differ in pricing models, managed services, integration capabilities, customization options, security features, and scalability, catering to different needs and preferences in database management.

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Detailed Comparison

ElephantSQL
ElephantSQL
Azure Database for PostgreSQL
Azure Database for PostgreSQL

ElephantSQL hosts PostgreSQL on Amazon EC2 in multiple regions and availability zones. The servers are continuously transferring the Write-Ahead-Log (the transaction log) to S3 for maximum reliability.

Azure Database for PostgreSQL provides a managed database service for app development and deployment that allows you to stand up a PostgreSQL database in minutes and scale on the fly – on the cloud you trust most.

Continuous backup to S3;Automatic failover;24/7 monitoring;Extenstions- HStore, Full Text search, Crypto and many more.;Latest version- ElephantSQL always boosts the latest stable version of PostgreSQL.
-
Statistics
Stacks
15
Stacks
56
Followers
86
Followers
103
Votes
15
Votes
0
Pros & Cons
Pros
  • 11
    They suck
  • 1
    Easy setup
  • 1
    Easy backup
  • 1
    Monitoring
  • 1
    Geospatial support
No community feedback yet
Integrations
SoftLayer
SoftLayer
Google Compute Engine
Google Compute Engine
Amazon EC2
Amazon EC2
Heroku
Heroku
AppHarbor
AppHarbor
cloudControl
cloudControl
Microsoft Azure
Microsoft Azure

What are some alternatives to ElephantSQL, Azure Database for PostgreSQL?

Amazon RDS for PostgreSQL

Amazon RDS for PostgreSQL

Amazon RDS manages complex and time-consuming administrative tasks such as PostgreSQL software installation and upgrades, storage management, replication for high availability and back-ups for disaster recovery. With just a few clicks in the AWS Management Console, you can deploy a PostgreSQL database with automatically configured database parameters for optimal performance. Amazon RDS for PostgreSQL database instances can be provisioned with either standard storage or Provisioned IOPS storage. Once provisioned, you can scale from 10GB to 3TB of storage and from 1,000 IOPS to 30,000 IOPS.

Heroku Postgres

Heroku Postgres

Heroku Postgres provides a SQL database-as-a-service that lets you focus on building your application instead of messing around with database management.

Database Labs

Database Labs

We manage an optimized Postgres image. You focus on your core app, not on becoming a database administrator.

Google Cloud SQL for PostgreSQL

Google Cloud SQL for PostgreSQL

With Cloud SQL for PostgreSQL, you can spend less time on your database operations and more time on your applications.

Neon Database

Neon Database

It is a fully managed serverless PostgreSQL. Neon separates storage and compute to offer modern developer features such as serverless, branching, bottomless storage, and more.

Amazon Aurora PostgreSQL

Amazon Aurora PostgreSQL

It is a fully managed, PostgreSQL–compatible, and ACID–compliant relational database engine that combines the speed, reliability, and manageability of Amazon Aurora with the simplicity and cost-effectiveness of open-source databases.

Crunchy Bridge

Crunchy Bridge

It is a fully-managed database as a service. It takes care of backups, high availability, monitoring. Additionally, it is multi-cloud supporting AWS and Azure and comes with PL/Python3u and PL/R for more powerful work.

Vercel Postgres

Vercel Postgres

It enables you to create scalable, secure PostgreSQL databases. You should use Vercel Postgres if you need to manage customer profiles, user-generated content, financial transaction processing, or other complex data.

PaaS DB PostgreSQL

PaaS DB PostgreSQL

A simple product to get an operational database without any pain about server management, security settings and upgrading. We provide resources to instanciate your database (PostgreSQL 9.4). Our goal is to propose this service with an hourly billing.

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