Crunchy Bridge vs Database Labs
Overview
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CLI (Node.js)
Manual
Detailed Comparison
We manage an optimized Postgres image. You focus on your core app, not on becoming a database administrator. | 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. |
Provision in Minutes;Zero Management;Continuous Backups;Point in Time Recovery;Lives in DigitalOcean | 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 8 | Stacks 8 |
Followers 19 | Followers 18 |
Votes 2 | Votes 0 |
Pros & Cons | |
Pros
| No community feedback yet |
Integrations | |
| No integrations available | |
What are some alternatives to Database Labs, Crunchy Bridge?
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 provides a SQL database-as-a-service that lets you focus on building your application instead of messing around with database management.
ElephantSQL
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.
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 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
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
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
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
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.
