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Couchbase

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Firebase

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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
ApolloApolloFirebaseFirebase
and
Socket.IOSocket.IO

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 · 346.3K views
Recommends
FirebaseFirebase

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
AblyAbly

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
8base8base

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
CouchbaseCouchbase
and
MongoDBMongoDB

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 · 100.5K views
Recommends
MongoDBMongoDB

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 · 100.5K views
Recommends
ArangoDBArangoDB

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
LinuxLinux

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
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
  • 18
    Flexible data model, easy scalability, extremely fast
  • 9
    Mobile app support
  • 7
    You can query it with Ansi-92 SQL
  • 6
    All nodes can be read/write
  • 5
    Open source, community and enterprise editions
  • 5
    Both a key-value store and document (JSON) db
  • 5
    Equal nodes in cluster, allowing fast, flexible changes
  • 4
    Local cache capability
  • 4
    Automatic configuration of sharding
  • 3
    Cross data center replication
  • 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
    SDKs in popular programming languages
  • 2
    Map reduce views
  • 2
    DBaaS available
  • 2
    NoSQL
  • 1
    FTS + SQL together
  • 1
    Buckets, Scopes, Collections & Documents
  • 367
    Realtime backend made easy
  • 268
    Fast and responsive
  • 240
    Easy setup
  • 212
    Real-time
  • 188
    JSON
  • 132
    Free
  • 126
    Backed by google
  • 82
    Angular adaptor
  • 67
    Reliable
  • 35
    Great customer support
  • 30
    Great documentation
  • 25
    Real-time synchronization
  • 21
    Mobile friendly
  • 18
    Rapid prototyping
  • 14
    Great security
  • 12
    Automatic scaling
  • 11
    Freakingly awesome
  • 8
    Chat
  • 8
    Angularfire is an amazing addition!
  • 8
    Super fast development
  • 6
    Firebase hosting
  • 6
    Awesome next-gen backend
  • 6
    Ios adaptor
  • 6
    Built in user auth/oauth
  • 4
    Speed of light
  • 4
    Very easy to use
  • 3
    Great
  • 3
    Brilliant for startups
  • 3
    It's made development super fast
  • 2
    Push notification
  • 2
    Free hosting
  • 2
    Free authentication solution
  • 2
    Cloud functions
  • 2
    JS Offline and Sync suport
  • 2
    Low battery consumption
  • 2
    The concurrent updates create a great experience
  • 2
    I can quickly create static web apps with no backend
  • 2
    Great all-round functionality
  • 1
    Easy to use
  • 1
    Easy Reactjs integration
  • 1
    Free SSL
  • 1
    Faster workflow
  • 1
    Google's support
  • 1
    Simple and easy
  • 1
    CDN & cache out of the box
  • 1
    Large
  • 1
    .net
  • 1
    Serverless
  • 1
    Good Free Limits

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Cons of Couchbase
Cons of Firebase
  • 3
    Terrible query language
  • 31
    Can become expensive
  • 15
    No open source, you depend on external company
  • 15
    Scalability is not infinite
  • 9
    Not Flexible Enough
  • 6
    Cant filter queries
  • 3
    No Relational Data
  • 3
    Very unstable server
  • 2
    Too many errors
  • 2
    No offline sync

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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.

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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), 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.
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