Database Labs vs Google Cloud SQL for PostgreSQL vs PaaS DB PostgreSQL

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Database Labs

8
19
+ 1
2
Google Cloud SQL for PostgreSQL

146
106
+ 1
0
PaaS DB PostgreSQL

1
20
+ 1
0
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Pros of Database Labs
Pros of Google Cloud SQL for PostgreSQL
Pros of PaaS DB PostgreSQL
  • 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 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 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 Database Labs?
      What companies use Google Cloud SQL for PostgreSQL?
      What companies use PaaS DB PostgreSQL?
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          What tools integrate with Database Labs?
          What tools integrate with Google Cloud SQL for PostgreSQL?
          What tools integrate with PaaS DB PostgreSQL?
            No integrations found

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            What are some alternatives to Database Labs, Google Cloud SQL for PostgreSQL, 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
            See all alternatives