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Crunchy Bridge vs ElephantSQL

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Crunchy Bridge
8
18
+ 1
0
ElephantSQL
15
86
+ 1
15
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Crunchy Bridge vs ElephantSQL: 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, ElephantSQL is detailed as "PostgreSQL as a Service". ElephantSQL hosts PostgreSQL on Amazon EC2 in multiple regions and availability zones. The servers are continuously transferring the Write-Ahead-Log (the transaction log) to S3 for maximum reliability.

Crunchy Bridge and ElephantSQL can be primarily classified as "PostgreSQL as a Service" tools.

Some of the features offered by Crunchy Bridge are:

  • Production-ready
  • Developer friendly
  • Choose between AWS and Azure

On the other hand, ElephantSQL provides the following key features:

  • Continuous backup to S3
  • Automatic failover
  • 24/7 monitoring
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Pros of Crunchy Bridge
Pros of ElephantSQL
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    • 11
      They suck
    • 1
      Monitoring
    • 1
      Geospatial support
    • 1
      Easy setup
    • 1
      Easy backup

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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 ElephantSQL?

    ElephantSQL hosts PostgreSQL on Amazon EC2 in multiple regions and availability zones. The servers are continuously transferring the Write-Ahead-Log (the transaction log) to S3 for maximum reliability.

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

    What companies use Crunchy Bridge?
    What companies use ElephantSQL?
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    What tools integrate with Crunchy Bridge?
    What tools integrate with ElephantSQL?

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    What are some alternatives to Crunchy Bridge and ElephantSQL?
    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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