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Crunchy Bridge vs Heroku Postgres: What are the differences?


Crunchy Bridge and Heroku Postgres are both powerful platforms, but they have key differences that set them apart in terms of their features and capabilities.

1. Storage Architecture: Crunchy Bridge utilizes Storage-Defined Objectives (SDO) to provide scalable storage for Postgres databases. SDO enables seamless scaling, replication, and high availability of data. In contrast, Heroku Postgres uses a traditional database architecture, which may not offer the same level of scalability and flexibility as Crunchy Bridge.

2. Data Management: Crunchy Bridge offers robust data management capabilities, including automatic backups and point-in-time recovery. It allows you to easily restore data in the event of an issue or data loss. On the other hand, Heroku Postgres provides basic backup and restore features, which may not be as comprehensive as Crunchy Bridge.

3. Performance Optimization: With Crunchy Bridge, you have fine-grained control over performance optimization through custom configuration settings. You can tune various parameters to optimize your database's performance according to your specific needs. Heroku Postgres, however, may have limited options for customization and might not provide the same level of performance optimization capabilities.

4. Pricing Model: Crunchy Bridge offers a transparent and flexible pricing model based on resource consumption, allowing you to pay for only what you use. In contrast, Heroku Postgres has a pricing model based on specific plans with pre-determined resource allocations. This can be advantageous if you require predictable pricing but may limit flexibility in resource allocation.

5. Support and Maintenance: Crunchy Bridge provides dedicated support from Postgres experts who can assist with database-related issues and provide guidance on best practices. They also handle essential maintenance tasks, such as applying updates and patches to ensure the security and stability of your database. Heroku Postgres offers support and maintenance as well, but it may not be as specialized and comprehensive as Crunchy Bridge.

6. Integration with Crunchy Data Tools: As a Crunchy Data product, Crunchy Bridge seamlessly integrates with other Crunchy Data tools and solutions. This provides additional capabilities, such as advanced monitoring, management, and security features specifically designed for Postgres databases. Heroku Postgres, being a part of the larger Heroku platform, may not offer the same level of integration and may have limited compatibility with Crunchy Data tools.

In Summary, Crunchy Bridge offers advanced storage architecture, robust data management, customizable performance optimization, transparent pricing, dedicated support and maintenance, and seamless integration with Crunchy Data tools, setting it apart from Heroku Postgres.

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Pros of Crunchy Bridge
Pros of Heroku Postgres
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    • 29
      Easy to setup
    • 3
      Follower databases
    • 3
      Dataclips for sharing queries
    • 3
      Extremely reliable

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    Cons of Crunchy Bridge
    Cons of Heroku Postgres
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      • 2
        Super expensive

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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 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.

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      What companies use Crunchy Bridge?
      What companies use Heroku Postgres?
      See which teams inside your own company are using Crunchy Bridge or Heroku Postgres.
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      What tools integrate with Crunchy Bridge?
      What tools integrate with Heroku Postgres?

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      What are some alternatives to Crunchy Bridge and Heroku Postgres?
      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.
      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.
      Azure Database for PostgreSQL
      Azure Database for PostgreSQL provides a managed database service for app development and deployment that allows you to stand up a PostgreSQL database in minutes and scale on the fly – on the cloud you trust most.
      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.
      Neon Database
      It is a fully managed serverless PostgreSQL. Neon separates storage and compute to offer modern developer features such as serverless, branching, bottomless storage, and more.
      See all alternatives