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Learn MorePros of Google Cloud SQL for PostgreSQL
Pros of Heroku Postgres
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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
Pros of PaaS DB PostgreSQL
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Cons of Google Cloud SQL for PostgreSQL
Cons of Heroku Postgres
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Cons of Heroku Postgres
- Super expensive2
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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.
What is 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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What companies use Google Cloud SQL for PostgreSQL?
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What companies use Google Cloud SQL for PostgreSQL?
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What tools integrate with Google Cloud SQL for PostgreSQL?
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What are some alternatives to Google Cloud SQL for PostgreSQL, Heroku Postgres, and PaaS DB 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