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Crunchy Bridge vs PaaS DB PostgreSQL

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Crunchy Bridge
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PaaS DB PostgreSQL
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Crunchy Bridge vs PaaS DB PostgreSQL: What are the differences?

Developers describe Crunchy Bridge as "A modern Postgres database service". 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. On the other hand, PaaS DB PostgreSQL is detailed as "Get a managed database ready to use". 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.

Crunchy Bridge and PaaS DB PostgreSQL can be categorized as "PostgreSQL as a Service" tools.

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What is 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.

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 Crunchy Bridge?
What companies use PaaS DB PostgreSQL?
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    What tools integrate with Crunchy Bridge?
    What tools integrate with PaaS DB PostgreSQL?
    What are some alternatives to Crunchy Bridge 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

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