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CouchDB

495
573
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139
Heroku Postgres

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38
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CouchDB vs Heroku Postgres: What are the differences?

Developers describe CouchDB as "HTTP + JSON document database with Map Reduce views and peer-based replication". Apache CouchDB is a database that uses JSON for documents, JavaScript for MapReduce indexes, and regular HTTP for its API. CouchDB is a database that completely embraces the web. Store your data with JSON documents. Access your documents and query your indexes with your web browser, via HTTP. Index, combine, and transform your documents with JavaScript. On the other hand, Heroku Postgres is detailed as "Heroku's Database-as-a-Service. Based on the most powerful open-source database, PostgreSQL". Heroku Postgres provides a SQL database-as-a-service that lets you focus on building your application instead of messing around with database management.

CouchDB and Heroku Postgres are primarily classified as "Databases" and "PostgreSQL as a Service" tools respectively.

"JSON" is the top reason why over 42 developers like CouchDB, while over 27 developers mention "Easy to setup" as the leading cause for choosing Heroku Postgres.

CouchDB is an open source tool with 4.24K GitHub stars and 835 GitHub forks. Here's a link to CouchDB's open source repository on GitHub.

Luckycycle, FarmLogs, and Watsi are some of the popular companies that use Heroku Postgres, whereas CouchDB is used by BrightMachine, Bit Zesty, and Meltwater. Heroku Postgres has a broader approval, being mentioned in 74 company stacks & 39 developers stacks; compared to CouchDB, which is listed in 61 company stacks and 32 developer stacks.

Advice on CouchDB and Heroku Postgres

Considering moving part of our PostgreSQL database infrastructure to the cloud, however, not quite sure between AWS, Heroku, Azure and Google cloud. Things to consider: The main reason is for backing up and centralize all our data in the cloud. With that in mind the main elements are: -Pricing for storage. -Small team. -No need for high throughput. -Support for docker swarm and Kubernetes.

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Replies (2)
David Weinberg

Good balance between easy to manage, pricing, docs and features.

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Max Musing
Founder & CEO at BaseDash · | 1 upvotes · 46.1K views

DigitalOcean's offering is pretty solid. Easy to scale, great UI, automatic daily backups, decent pricing.

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Decisions about CouchDB and Heroku Postgres
Gabriel Pa

We implemented our first large scale EPR application from naologic.com using CouchDB .

Very fast, replication works great, doesn't consume much RAM, queries are blazing fast but we found a problem: the queries were very hard to write, it took a long time to figure out the API, we had to go and write our own @nodejs library to make it work properly.

It lost most of its support. Since then, we migrated to Couchbase and the learning curve was steep but all worth it. Memcached indexing out of the box, full text search works great.

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Pros of CouchDB
Pros of Heroku Postgres
  • 43
    JSON
  • 30
    Open source
  • 18
    Highly available
  • 12
    Partition tolerant
  • 11
    Eventual consistency
  • 7
    Sync
  • 5
    REST API
  • 4
    Attachments mechanism to docs
  • 4
    Multi master replication
  • 3
    Changes feed
  • 1
    REST interface
  • 1
    js- and erlang-views
  • 29
    Easy to setup
  • 3
    Follower databases
  • 3
    Dataclips for sharing queries
  • 3
    Extremely reliable

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Cons of CouchDB
Cons of Heroku Postgres
    Be the first to leave a con
    • 2
      Super expensive

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    - No public GitHub repository available -

    What is CouchDB?

    Apache CouchDB is a database that uses JSON for documents, JavaScript for MapReduce indexes, and regular HTTP for its API. CouchDB is a database that completely embraces the web. Store your data with JSON documents. Access your documents and query your indexes with your web browser, via HTTP. Index, combine, and transform your documents with JavaScript.

    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.

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

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

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    What are some alternatives to CouchDB and Heroku Postgres?
    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.
    Couchbase
    Developed as an alternative to traditionally inflexible SQL databases, the Couchbase NoSQL database is built on an open source foundation and architected to help developers solve real-world problems and meet high scalability demands.
    Cloudant
    Cloudant’s distributed database as a service (DBaaS) allows developers of fast-growing web and mobile apps to focus on building and improving their products, instead of worrying about scaling and managing databases on their own.
    MariaDB
    Started by core members of the original MySQL team, MariaDB actively works with outside developers to deliver the most featureful, stable, and sanely licensed open SQL server in the industry. MariaDB is designed as a drop-in replacement of MySQL(R) with more features, new storage engines, fewer bugs, and better performance.
    RethinkDB
    RethinkDB is built to store JSON documents, and scale to multiple machines with very little effort. It has a pleasant query language that supports really useful queries like table joins and group by, and is easy to setup and learn.
    See all alternatives