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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    CouchDB

    Score6 out of 10
    N/AApache CouchDB is an HTTP + JSON document database with Map Reduce views and bi-directional replication. The Couch Replication Protocol is implemented in a variety of projects and products that span computing environments from globally distributed server-clusters, over mobile phones to web browsers.N/A

    Firebase

    Score8.3 out of 10
    N/AGoogle offers the Firebase suite of application development tools, available free or at cost for higher degree of usages, priced flexibly accorded to features needed. The suite includes A/B testing and Crashlytics, Cloud Messaging (FCM) and in-app messaging, cloud storage and NoSQL storage (Cloud Firestore and Firestore Realtime Database), and other features supporting developers with flexible mobile application development.

    $0.01

    Per Verification

    Pricing
    CouchDBFirebase
    Editions & Modules
    No answers on this topic
    Phone Authentication
    $0.01
    Per Verification
    Stored Data
    $0.18
    Per GiB
    Offerings
    Pricing Offerings
    CouchDBFirebase
    Free Trial
    NoNo
    Free/Freemium Version
    NoNo
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details——
    More Pricing Information
    Community Pulse
    CouchDBFirebase
    Considered Both Products
    Apache
    No answer on this topic
    Google
    Chose Firebase
    Firebase is easy to manage and scale really well for web application services. It offers better authentication and is easy to implement. For real-time analytics on web applications, it works very well. Firebase offers more features compared to other services especially it can …
    Incentivized
    Key User Insights
    Would buy again
    No answers on this topic
    83%
    Would buy again
    19 Answers
    Delivers good value for the price
    No answers on this topic
    95%
    Delivers good value for the price
    19 Answers
    Happy with the feature set
    No answers on this topic
    91%
    Happy with the feature set
    21 Answers
    Lived up to sales and marketing promises
    No answers on this topic
    83%
    Lived up to sales and marketing promises
    15 Answers
    Implementation went as expected
    No answers on this topic
    90%
    Implementation went as expected
    19 Answers
    Features
    CouchDBFirebase
    NoSQL Databases
    Comparison of NoSQL Databases features of Apache CouchDB and Firebase
    Feature
    Apache CouchDB
    7.9
    2 Ratings
    8% below category average
    Firebase
    -
    Ratings
    Performance8.02 Ratings00 Ratings
    Availability8.52 Ratings00 Ratings
    Concurrency8.52 Ratings00 Ratings
    Security6.02 Ratings00 Ratings
    Scalability8.02 Ratings00 Ratings
    Data model flexibility7.02 Ratings00 Ratings
    Deployment model flexibility9.02 Ratings00 Ratings
    Best Alternatives
    CouchDBFirebase
    Small Businesses
    IBM Cloudant
    Score7.4 out of 10
    IBM Cloud Foundry (discontinued)
    Score8.6 out of 10
    Medium-sized Companies
    IBM Cloudant
    Score7.4 out of 10
    IBM Cloud Private
    Score9.6 out of 10
    Enterprises
    IBM Cloudant
    Score7.4 out of 10
    AWS Elastic Beanstalk
    Score8.6 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    CouchDBFirebase
    Likelihood to Recommend
    9.0
    (10 ratings)
    7.6
    (31 ratings)
    Likelihood to Renew
    9.0
    (9 ratings)
    -
    (0 ratings)
    Usability
    8.0
    (1 ratings)
    7.3
    (6 ratings)
    Support Rating
    -
    (0 ratings)
    7.3
    (6 ratings)
    Implementation Rating
    9.0
    (1 ratings)
    -
    (0 ratings)
    User Testimonials
    CouchDBFirebase
    Likelihood to Recommend
    Apache
    Great for REST API development, if you want a small, fast server that will send and receive JSON structures, CouchDB is hard to beat. Not great for enterprise-level relational database querying (no kidding). While by definition, document-oriented databases are not relational, porting or migrating from relational, and using CouchDB as a backend is probably not a wise move as it's reliable, but It may not always be highly available.
    Incentivized
    Read full review
    Google
    Firebase should be your first choice if your platform is mobile first. Firebase's mobile platform support for client-side applications is second to none, and I cannot think of a comparable cross-platform toolkit. Firebase also integrates well with your server-side solution, meaning that you can plug Firebase into your existing app architecture with minimal effort.
    Firebase lags behind on the desktop, however. Although macOS support is rapidly catching up, full Windows support is a glaring omission for most Firebase features. This means that if your platform targets Windows, you will need to implement the client functionality manually using Firebase's web APIs and wrappers, or look for another solution.
    Incentivized
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    Pros
    Apache
    • It can replicate and sync with web browsers via PouchDB. This lets you keep a synced copy of your database on the client-side, which offers much faster data access than continuous HTTP requests would allow, and enables offline usage.
    • Simple Map/Reduce support. The M/R system lets you process terabytes of documents in parallel, save the results, and only need to reprocess documents that have changed on subsequent updates. While not as powerful as Hadoop, it is an easy to use query system that's hard to screw up.
    • Sharding and Clustering support. As of CouchDB 2.0, it supports clustering and sharding of documents between instances without needing a load balancer to determine where requests should go.
    • Master to Master replication lets you clone, continuously backup, and listen for changes through the replication protocol, even over unreliable WAN links.
    Incentivized
    Read full review
    Google
    • Analytics wise, retention is extremely important to our app, therefore we take advantage of the cohort analysis to see the impact of our middle funnel (retargeting, push, email) efforts affect the percent of users that come back into the app. Firebase allows us to easily segment these this data and look at a running average based on certain dates.
    • When it comes to any mobile app, a deep linking strategy is essential to any apps success. With Firebase's Dynamic Links, we are able to share dynamic links (recognize user device) that are able to redirect to in-app content. These deep links allow users to share other deep-linked content with friends, that also have link preview assets.
    • Firebase allows users to effectively track events, funnels, and MAUs. With this simple event tracking feature, users can put organize these events into funnels of their main user flows (e.g., checkout flows, onboarding flows, etc.), and subsequently be able to understand where the drop-off is in the funnel and then prioritize areas of the funnel to fix. Also, MAU is important to be able to tell if you are bringing in new users and what's the active volume for each platform (Android, iOS).
    Incentivized
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    Cons
    Apache
    • NoSQL DB can become a challenge for seasoned RDBMS users.
    • The map-reduce paradigm can be very demanding for first-time users.
    • JSON format documents with Key-Value pairs are somewhat verbose and consume more storage.
    Incentivized
    Read full review
    Google
    • Attribution and specifically multi-touch attribution could be more robust such as Branch or Appsflyer but understand this isn't Firebases bread and butter.
    • More parameters. Firebase allows you to track tons of events (believe it's up to 50 or so) but the parameters of the events it only allows you to track 5 which is so messily and unbelievable. So you're able to get good high-level data but if you want to get granular with the events and actions are taken on your app to get real data insight you either have to go with a paid data analytics platform or bring on someone that's an expert in SQL to go through Big Query.
    • City-specific data instead of just country-specific data would have been a huge plus as well.
    Incentivized
    Read full review
    Likelihood to Renew
    Apache
    Because our current solution S3 is working great and CouchDB was a nightmare. The worst is that at first, it seemed fine until we filled it with tons of data and then started to create views and actually delete.
    Incentivized
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    Google
    No answers on this topic
    Usability
    Apache
    Couchdb is very simple to use and the features are also reduced but well implemented. In order to use it the way its designed, the ui is adequate and easy. Of course, there are some other task that can't be performed through the admin ui but the minimalistic design allows you to use external libraries to develop custom scripts
    Incentivized
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    Google
    I don't use the Firebase UI much, but rather connect it to GA4. GA4 has a great event model but the GA4 UI and analysis capabilities are limited. It's harder to measure product usage type of engagement but if you have the time and resources to leverage the GA4 to BiqQuery export you'll have all the raw event data you'll need for deep analysis, segmentation, and audience activation.
    Incentivized
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    Support Rating
    Apache
    No answers on this topic
    Google
    Our analytics folks handled the majority of the communication when it came to customer service, but as far as I was aware, the support we got was pretty good. When we had an issue, we were able to reach out and get support in a timely fashion. Firebase was easy to reach and reasonably available to assist when needed.
    Incentivized
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    Implementation Rating
    Apache
    it support is minimal also hw requirements. Also for development, we can have databases replicated everywhere and the replication is automagical. once you set up the security and the rules for replication, you are ready to go. The absence of a model let you build your app the way you want it
    Incentivized
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    Google
    No answers on this topic
    Alternatives Considered
    Apache
    It has been 5+ years since we chose CouchDB. We looked an MongoDB, Cassandra, and probably some others. At the end of the day, the performance, power potential, and simplicity of CouchDB made it a simple choice for our needs. No one should use just because we did. As I said early, make sure you understand your problems, and find the right solution. Some random reading that might be useful: http://www.julianbrowne.com/article/viewer/brewers-cap-theorem https://www.couchbase.com/nosql-resources/why-nosql\ https://www.infoq.com/articles/cap-twelve-years-later-how-the-rules-have-changed
    Incentivized
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    Google
    Before using Firebase, we exclusively used self hosted database services. Using Firebase has allowed us to reduce reliance on single points of failure and systems that are difficult to scale. Additionally, Firebase is much easier to set up and use than any sort of self hosted database. This simplicity has allowed us to try features that we might not have based on the amount of work they required in the past.
    Incentivized
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    Return on Investment
    Apache
    • It has saved us hours and hours of coding.
    • It is has taught us a new way to look at things.
    • It has taught us patience as the first few weeks with CouchDB were not pleasant. It was not easy to pick up like MongoDB.
    Incentivized
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    Google
    • Makes building real-time interfaces easy to do at scale with no backend involvement.
    • Very low pricing for small companies and green-fields projects.
    • Lack of support for more complicated queries needs to be managed by users and often forces strange architecture choices for data to enable it to be easily accessed.
    Incentivized
    Read full review
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