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Learn MorePros of Amazon RDS for PostgreSQL
Pros of Database Labs
Pros of Google Cloud SQL for PostgreSQL
Pros of Amazon RDS for PostgreSQL
- Easy setup, backup, monitoring25
- Geospatial support13
- Master-master replication using Multi-AZ instance2
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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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.
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.
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What companies use Amazon RDS for PostgreSQL?
What companies use Database Labs?
What companies use Google Cloud SQL for PostgreSQL?
What companies use Database Labs?
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What companies use Google Cloud SQL for PostgreSQL?
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What tools integrate with Amazon RDS for PostgreSQL?
What tools integrate with Database Labs?
What tools integrate with Google Cloud SQL for PostgreSQL?
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, Database Labs, and Google Cloud SQL for PostgreSQL?
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