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Advice on Database Labs, Google Cloud SQL for PostgreSQL, and Heroku Postgres
Jorge Perez
Considering moving part of our PostgreSQL database infrastructure to the cloud, however, not quite sure between AWS, Heroku, Azure and Google cloud. Things to consider: The main reason is for backing up and centralize all our data in the cloud. With that in mind the main elements are: -Pricing for storage. -Small team. -No need for high throughput. -Support for docker swarm and Kubernetes.
Replies (2)
David Weinberg
Software Developer · | 1 upvotes · 45.6K views
Good balance between easy to manage, pricing, docs and features.
Max Musing
Founder & CEO at BaseDash · | 1 upvotes · 45.8K views
DigitalOcean's offering is pretty solid. Easy to scale, great UI, automatic daily backups, decent pricing.
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Learn MorePros of Database Labs
Pros of Google Cloud SQL for PostgreSQL
Pros of Heroku Postgres
Pros of Database Labs
- Superb customer service, and ready to go out of the box1
- Fastest, most effective support desk I've ever seen1
Pros of Google Cloud SQL for PostgreSQL
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Pros of Heroku Postgres
- Easy to setup29
- Follower databases3
- Dataclips for sharing queries3
- Extremely reliable3
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Cons of Database Labs
Cons of Google Cloud SQL for PostgreSQL
Cons of Heroku Postgres
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Cons of Google Cloud SQL for PostgreSQL
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Cons of Heroku Postgres
- Super expensive2
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What is Database Labs?
We manage an optimized Postgres image. You focus on your core app, not on becoming a database administrator.
What is 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.
What is 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.
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What are some alternatives to Database Labs, Google Cloud SQL for PostgreSQL, and Heroku Postgres?
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.
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.
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.
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.
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.