Amazon RDS for PostgreSQL vs Database Labs

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Amazon RDS for PostgreSQL

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Database Labs

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Amazon RDS for PostgreSQL vs Database Labs: What are the differences?

Developers describe Amazon RDS for PostgreSQL as "* Set up, operate, and scale PostgreSQL deployments in the cloud". 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. On the other hand, *Database Labs** is detailed as "Deploy a cloud Postgres server in 1 minute". We manage an optimized Postgres image. You focus on your core app, not on becoming a database administrator.

Amazon RDS for PostgreSQL and Database Labs can be categorized as "PostgreSQL as a Service" tools.

Some of the features offered by Amazon RDS for PostgreSQL are:

  • Monitoring and Metrics –Amazon RDS provides Amazon CloudWatch metrics for you DB Instance deployments at no additional charge.
  • DB Event Notifications –Amazon RDS provides Amazon SNS notifications via email or SMS for your DB Instance deployments.
  • Automatic Software Patching – Amazon RDS will make sure that the PostgreSQL software powering your deployment stays up-to-date with the latest patches.

On the other hand, Database Labs provides the following key features:

  • Provision in Minutes
  • Zero Management
  • Continuous Backups
Advice on Amazon RDS for PostgreSQL and Database Labs

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.

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Replies (2)
David Weinberg

Good balance between easy to manage, pricing, docs and features.

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Max Musing
Founder & CEO at BaseDash · | 1 upvotes · 48.5K views

DigitalOcean's offering is pretty solid. Easy to scale, great UI, automatic daily backups, decent pricing.

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Pros of Amazon RDS for PostgreSQL
Pros of Database Labs
  • 25
    Easy setup, backup, monitoring
  • 13
    Geospatial support
  • 2
    Master-master replication using Multi-AZ instance
  • 1
    Superb customer service, and ready to go out of the box
  • 1
    Fastest, most effective support desk I've ever seen

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What is 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.

What is Database Labs?

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

Need advice about which tool to choose?Ask the StackShare community!

What companies use Amazon RDS for PostgreSQL?
What companies use Database Labs?
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    What tools integrate with Amazon RDS for PostgreSQL?
    What tools integrate with Database Labs?
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      What are some alternatives to Amazon RDS for PostgreSQL and Database Labs?
      MySQL
      The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.
      PostgreSQL
      PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.
      MongoDB
      MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.
      Redis
      Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache, and message broker. Redis provides data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes, and streams.
      Amazon S3
      Amazon Simple Storage Service provides a fully redundant data storage infrastructure for storing and retrieving any amount of data, at any time, from anywhere on the web
      See all alternatives