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Couchbase

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Couchbase vs Firebase: What are the differences?

Couchbase: Document-Oriented NoSQL Database. 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; Firebase: The Realtime App Platform. Firebase is a cloud service designed to power real-time, collaborative applications. Simply add the Firebase library to your application to gain access to a shared data structure; any changes you make to that data are automatically synchronized with the Firebase cloud and with other clients within milliseconds.

Couchbase belongs to "Databases" category of the tech stack, while Firebase can be primarily classified under "Realtime Backend / API".

Some of the features offered by Couchbase are:

  • JSON document database
  • N1QL (SQL-like query language)
  • Secondary Indexing

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

  • Add the Firebase library to your app and get access to a shared data structure. Any changes made to that data are automatically synchronized with the Firebase cloud and with other clients within milliseconds.
  • Firebase apps can be written entirely with client-side code, update in real-time out-of-the-box, interoperate well with existing services, scale automatically, and provide strong data security.
  • Data Accessibility- Data is stored as JSON in Firebase. Every piece of data has its own URL which can be used in Firebase's client libraries and as a REST endpoint. These URLs can also be entered into a browser to view the data and watch it update in real-time.

"Flexible data model, easy scalability, extremely fast" is the primary reason why developers consider Couchbase over the competitors, whereas "Realtime backend made easy" was stated as the key factor in picking Firebase.

According to the StackShare community, Firebase has a broader approval, being mentioned in 859 company stacks & 997 developers stacks; compared to Couchbase, which is listed in 45 company stacks and 21 developer stacks.

Advice on Couchbase and Firebase
Needs advice
on
Socket.IO
Firebase
and
Apollo

We are starting to work on a web-based platform aiming to connect artists (clients) and professional freelancers (service providers). In-app, timeline-based, real-time communication between users (& storing it), file transfers, and push notifications are essential core features. We are considering using Node.js, ExpressJS, React, MongoDB stack with Socket.IO & Apollo, or maybe using Real-Time Database and functionalities of Firebase.

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Replies (3)
Timothy Malstead
Junior Full Stack Developer at Freelance · | 7 upvotes · 234.7K views
Recommends
Firebase

I would recommend looking hard into Firebase for this project, especially if you do not have dedicated full-stack or backend members on your team.

The real time database, as you mentioned, is a great option, but I would also look into Firestore. Similar to RTDB, it adds more functions and some cool methods as well. Also, another great thing about Firebase is you have easy access to storage and dead simple auth as well.

Node.js Express MongoDB Socket.IO and Apollo are great technologies as well, and may be the better option if you do not wish to cede as much control to third parties in your application.

Overall, I say if you wish to focus more time developing your React application instead of other parts of your stack, Firebase is a great way to do that.

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Recommends
Ably

Hello Noam 👋,

I suggest taking a look at Ably, it has all the realtime features you need and the platform is designed to guarantee critical functionality at scale.

Here is an in depth comparison between Ably and Firebase

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Recommends
8base

Hey Noam,

I would recommend you to take a look into 8base. It has features you've requested, also relation database and GraphQL API which will help you to develop rapidly.

Thanks, Ilya

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Needs advice
on
MongoDB
and
Couchbase

We Have thousands of .pdf docs generated from the same form but with lots of variability. We need to extract data from open text and more important - from tables inside the docs. The output of Couchbase/Mongo will be one row per document for backend processing. ADOBE renders the tables in an unusable form.

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Replies (3)
Petr Havlicek
Freelancer at havlicekpetr.cz · | 12 upvotes · 33.1K views
Recommends
MongoDB

I prefer MongoDB due to own experience with migration of old archive of pdf and meta-data to a new “archive”. The biggest advantage is speed of filters output - a new archive is way faster and reliable then the old one - but also the the easy programming of MongoDB with many code snippets and examples available. I have no personal experience so far with Couchbase. From the architecture point of view both options are OK - go for the one you like.

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Ivan Begtin
Director - NGO "Informational Culture" / Ambassador - OKFN Russia at Infoculture · | 7 upvotes · 33.2K views
Recommends
ArangoDB

I would like to suggest MongoDB or ArangoDB (can't choose both, so ArangoDB). MongoDB is more mature, but ArangoDB is more interesting if you will need to bring graph database ideas to solution. For example if some data or some documents are interlinked, then probably ArangoDB is a best solution.

To process tables we used Abbyy software stack. It's great on table extraction.

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OtkudznamDamir Radinović-Lukić
Recommends
Linux

If you can select text with mouse drag in PDF. Use pdftotext it is fast! You can install it on server with command "apt-get install poppler-utils". Use it like "pdftotext -layout /path-to-your-file". In same folder it will make text file with line by line content. There is few classes on git stacks that you can use, also.

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Decisions about Couchbase and Firebase
 This was roughly 4 years ago at this point. We had been using an old iteration of memcache on Windows as the data cache per server for while and had for whatever reason opted to store our session data (to which the application is heavily dependent) in App Fabric. App Fabric had come to EOL and we needed to move away from it. As a quick search showed throughput capacity to be higher and overall features of Redis were better we initially implemented it. The number of changes required were minimal and we were able to migrate away to a more resilient system pretty quickly.
 We hit a snag in that the implementation of the Redis session handler at that point only took a single IP so we had to do use keepalived and HAProxy to display the application consistently between master and slave failovers. This caused issues on occasion of dropped connections to the backend service. We upgraded our client and could put both members into our config files and it stopped timing out. We were all happy in this and it was (for it's own part) a significant upgrade. Generally performance was better for all pages. 
 We found however, that our application was serializing all requests and locking on the thread via session lock for a great many things and this caused us and our users considerable headaches on occasion. We found that the implementation of the couchbase session handler gave us the option of ignoring session write locks and not be required to rewrite dozens of pages to handle the no session requirement as the application was working fine without the need to be threadsafe. Though the maximum throughput was not as good compared to Redis the application performance was considerably better as a result of the change. The multi-master write was a big benefit and the cross data center replication was a nice thing to have as that would allow our users to remain logged in even across DataCenter fail-over events (praying that never happened). Overall we used that for session handling and chose to use couchbase (in a 2nd cluster) to handle memcache requests as that gave us greater capacity to handle larger objects more efficiently. 
 We are, all these years later, looking to move into the newer features of couchbase to give us more and better use of this product that really has been the answer to a bunch of the growing pains we experienced. Since the decision performance has not been on wild rides and stability has never been better. So I sing the praises of couchbase to anyone that will listen.
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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 Couchbase
Pros of Firebase
  • 18
    High performance
  • 17
    Flexible data model, easy scalability, extremely fast
  • 8
    Mobile app support
  • 6
    You can query it with Ansi-92 SQL
  • 5
    All nodes can be read/write
  • 4
    Local cache capability
  • 4
    Open source, community and enterprise editions
  • 4
    Both a key-value store and document (JSON) db
  • 4
    Equal nodes in cluster, allowing fast, flexible changes
  • 3
    Automatic configuration of sharding
  • 3
    SDKs in popular programming languages
  • 3
    Elasticsearch connector
  • 3
    Easy setup
  • 3
    Web based management, query and monitoring panel
  • 3
    Linearly scalable, useful to large number of tps
  • 3
    Easy cluster administration
  • 3
    Cross data center replication
  • 2
    NoSQL
  • 2
    DBaaS available
  • 2
    Map reduce views
  • 1
    FTS + SQL together
  • 1
    Buckets, Scopes, Collections & Documents
  • 361
    Realtime backend made easy
  • 264
    Fast and responsive
  • 234
    Easy setup
  • 207
    Real-time
  • 186
    JSON
  • 127
    Free
  • 121
    Backed by google
  • 81
    Angular adaptor
  • 63
    Reliable
  • 36
    Great customer support
  • 26
    Great documentation
  • 23
    Real-time synchronization
  • 20
    Mobile friendly
  • 17
    Rapid prototyping
  • 12
    Great security
  • 11
    Automatic scaling
  • 10
    Freakingly awesome
  • 8
    Chat
  • 8
    Angularfire is an amazing addition!
  • 8
    Super fast development
  • 6
    Awesome next-gen backend
  • 6
    Ios adaptor
  • 5
    Built in user auth/oauth
  • 5
    Firebase hosting
  • 4
    Speed of light
  • 4
    Very easy to use
  • 3
    It's made development super fast
  • 3
    Great
  • 3
    Brilliant for startups
  • 2
    Great all-round functionality
  • 2
    Low battery consumption
  • 2
    I can quickly create static web apps with no backend
  • 2
    The concurrent updates create a great experience
  • 2
    JS Offline and Sync suport
  • 1
    Faster workflow
  • 1
    Large
  • 1
    Serverless
  • 1
    .net
  • 1
    Free SSL
  • 1
    Good Free Limits
  • 1
    Push notification
  • 1
    Easy to use
  • 1
    Easy Reactjs integration

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Cons of Couchbase
Cons of Firebase
  • 3
    Terrible query language
  • 28
    Can become expensive
  • 15
    Scalability is not infinite
  • 14
    No open source, you depend on external company
  • 9
    Not Flexible Enough
  • 5
    Cant filter queries
  • 3
    Very unstable server
  • 2
    Too many errors
  • 2
    No Relational Data

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What is 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.

What is Firebase?

Firebase is a cloud service designed to power real-time, collaborative applications. Simply add the Firebase library to your application to gain access to a shared data structure; any changes you make to that data are automatically synchronized with the Firebase cloud and with other clients within milliseconds.

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

What companies use Couchbase?
What companies use Firebase?
See which teams inside your own company are using Couchbase or Firebase.
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What tools integrate with Firebase?

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What are some alternatives to Couchbase and Firebase?
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.
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.
Cassandra
Partitioning means that Cassandra can distribute your data across multiple machines in an application-transparent matter. Cassandra will automatically repartition as machines are added and removed from the cluster. Row store means that like relational databases, Cassandra organizes data by rows and columns. The Cassandra Query Language (CQL) is a close relative of SQL.
Redis
Redis is an open source, BSD licensed, advanced key-value store. It is often referred to as a data structure server since keys can contain strings, hashes, lists, sets and sorted sets.
HBase
Apache HBase is an open-source, distributed, versioned, column-oriented store modeled after Google' Bigtable: A Distributed Storage System for Structured Data by Chang et al. Just as Bigtable leverages the distributed data storage provided by the Google File System, HBase provides Bigtable-like capabilities on top of Apache Hadoop.
See all alternatives