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  1. Stackups
  2. Application & Data
  3. Relational Databases
  4. Postgresql As A Service
  5. Crunchy Bridge vs ElephantSQL

Crunchy Bridge vs ElephantSQL

OverviewComparisonAlternatives

Overview

ElephantSQL
ElephantSQL
Stacks15
Followers86
Votes15
Crunchy Bridge
Crunchy Bridge
Stacks8
Followers18
Votes0

Crunchy Bridge vs ElephantSQL: What are the differences?

Developers describe Crunchy Bridge as "A modern Postgres database service". 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. On the other hand, ElephantSQL is detailed as "PostgreSQL as a Service". 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.

Crunchy Bridge and ElephantSQL can be primarily classified as "PostgreSQL as a Service" tools.

Some of the features offered by Crunchy Bridge are:

  • Production-ready
  • Developer friendly
  • Choose between AWS and Azure

On the other hand, ElephantSQL provides the following key features:

  • Continuous backup to S3
  • Automatic failover
  • 24/7 monitoring

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Detailed Comparison

ElephantSQL
ElephantSQL
Crunchy Bridge
Crunchy Bridge

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.

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.

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.
Production-ready; Developer friendly; Choose between AWS and Azure; Replicas available in other regions; Replicas available across infrastructure provider; Encryption at rest; Encryption in transit; Backups automatically taken and tested for you; Built-in point in time recovery to any time in last seven days
Statistics
Stacks
15
Stacks
8
Followers
86
Followers
18
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
PostgreSQL
PostgreSQL
Microsoft Azure
Microsoft Azure

What are some alternatives to ElephantSQL, Crunchy Bridge?

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.

Azure Database for PostgreSQL

Azure Database for PostgreSQL

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.

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.

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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