Firestore vs. Firebase

Firestore vs. Firebase
Firestore vs Firebase

Firebase is an amazing application development platform for mobile and web application development. It can provide an amazing variety of services and tools. These services and tools are meant to help developers in creating high-end and feature rich applications. So that they can get better opportunities to improve their user base as well as earn more revenue in the best possible time.

However, do you want to know more about Firebase? This article can let you explore much about similarities and differences between Firestore and Firebase. At the end, you will be able to make a bold decision of making the right choice with ease. 

Do you want to learn more? Let’s have a look at the information given below about this topic to get an even better idea about the things in this regard:

Introduction to Google Firebase

Google Firebase is one of the most interesting and amazing BaaS (Backend as a Service) solutions that is being supported by Google. However, over time, this amazing platform has been converted into an amazing next-generation application development solution.

  • With the availability of an amazing array of tools and services, Firebase has the ability to free up developers from the headache of developing backend from scratch. Ultimately, they can get more time and energy to focus on creating fantastic user-interface. So that their consumers can have an amazing user experience with their applications in a more effective way.
  • With Google Firebase, developers don’t need to be worried about managing servers or writing their APIs or even think about application infrastructure. Because Firebase is going to do everything for them from managing servers to developing APIs in the best possible way.

Overall, Firebase is offering an interesting plethora of tools and services that can help developers to develop premium quality web and mobile applications that are effective to grow their user database and earn more profits more effectively.

Key features of Google Firebase

While it is about selecting the best Backend as a Service, key features that a BaaS vendor is offering play a vital role in your selection. Similar is the case of Google Firebase, it comes up with tremendous features that are great for developers. Let’s have a look at some of the most amazing features that you can get with Google Firebase with ease.

So, here we go:

·         Real-time database

Firebase is offering an amazing NoSQL database that is cloud hosted. This real-time database is meant to help developers to sync and store data between users and applications in real-time.

This database is amazingly a big project that is meant to let developers manage their users and applications data within real-time in a more effective way. By using a single API only Firebase real-time database has the ability to provide your application both any current update on data and present data value with ease.

·         Hosting

Google Firebase is also offering faster and effective hosting services for your web applications. Google Firebase can help developers in deploying their web applications quickly with only a single command with both static and dynamic content with its efficient global content delivery network.

·         Cloud Firestore

Cloud Firestore is one of the most effective Firebase’s NoSQL databases based on documents. Cloud Firestore is meant to help you store, query and sync your mobile and web application’s data globally.

This amazing database solution can bring massive benefits with it. Because it allows developers to experience improved querying and data structure. Even more, it can offer enhanced scalability too in a more effective way.

·         Cloud Storage

Surprisingly, Google Firebase is offering cost-effective, simple yet powerful cloud storage solutions that are developed for Google scale. The SDKs of Google Firebase cloud storage are adding security to your uploads and downloads from Firebase applications, regardless of the quality of your network.

Developers have the ability to utilize these SDKs to store images, videos, audios, as well as any other content which is being created by application users.

·         User authentication

Firebase is also offering better authentication solutions for its users. Fortunately, developers can integrate the user authentication process into their applications with different factors. You can add user authentication feature into your application in ways including:

  1. Email address
  2. Phone number
  3. Password
  4. Social media accounts including Facebook, Twitter and more.

Firebase authentication SDK can let you add this feature to your application manually. You can also add another process to login to the application to enhance security.

Is Firebase offering multiple databases?

Yes, Google Firebase is offering two different types of databases that can be used by developers with full freedom. However, these two major databases of Firebase are:

  • The Cloud Firestore
  • Real-time database

Both of these databases are effective in offering real-time updates effectively. Therefore, to know which of these is going to be best for you, it is highly important to dive deep into each database option. Before, that let’s know about the benefits of having a real-time database into your application.

What is a Realtime DB?

A real-time database is what makes use of real-time processing to ensure steered workload that changes on a continuous basis. Real-time database is pretty different as compared to conventional databases that are based on steady data which is not changing with time.

Do you want to understand this concept more effectively? Let’s have a look at an easier to understand example given below to ensure better comprehension with this concept.

For example, the stock market is completely dynamic and is changing on an instant basis. Various markets’ graphs look to be inconsistent extremely. Still, there is a database that is meant to monitor the current values for entire markets in the stock exchange of New York.

In a real-time processing environment, a transaction is being processed so quickly and the result of the transaction comes back to be acted upon instantly.

However, real-time databases are critical for multiple fields including:

  • Accounting
  • Medical records
  • Banking
  • Multimedia
  • Press control
  • Reservation systems
  • Scientific data analysis and more.

What are some of the most important reasons to use a real-time database?

Do you want to know why using a real-time database is important? Let’s have a look at some of the most lucrative benefits of using a real-time database to get a better idea about things in this regard.

So, real-time database is important to:

·         Point out a change instantly

It is a vital fact that a small market change can cause an increase or decrease in the demand of a particular service or product with ease. By having the latest information on your desk, you can tackle the situation without creating any problem for ventures.

Because by identifying a negative situation, you can grab the opportunity to lower the possible risks or damage by choosing some amending measures effectively straight away.

·         Integrate multiple data and content sources

A real-time data analysis system has the ability to let you collect entire content and data linked with your company in a single system only.

It is not only going to allow you an easier access to information but can also let you invest your time effectively in accumulating information from multiple resources with ease.

·         Save and sync data on mobile device

Entire programs of information management that are working in real-time can be utilized on mobile devices. By this it will be possible for you to attend a meeting while you are on a trip and can have updated real information about the condition of your business instantly.

This can help in decreasing the required amount of time for decision making or problem solving drastically. Because you don’t have to attend your office to take a look at the entire situation before acting.

·         Rectify operational procedures’ divergence

Your partners, suppliers and customers will never take a production process failure lightly. With a real-time production failure tracking, you can identify probable failures as well as the factors that can correct the system as well.

It will let you ensure that any issue-containing product doesn’t reach the final stage.

·         Decrease the chances of errors

 With a real-time data analysis system, communication failure possibilities can be decreased. Even the process of data consolidation can also be improved. Keeping the entire information of a company at the same place can make analysis procedures more effective and productive.

Introduction to available Firebase database options

Are you all-set to explore Firebase database options? Let’s explore each to know more:

The Real-time database of Firebase (RTDB)

Firebase real-time database is a cloud hosted database that can store data in JSON format and sync it with each client connected to the app. Using our Android, JavaScript and iOS SDKs, you can build cross-platform applications that will let your consumers share a single real-time database instance to get updates on the latest data.

What are the advantages of using Firebase’s real-time database?

Firebase has made it possible to sync data online and offline in real-time. It can fetch users’ data in both offline and online situations which can encourage collaboration on the app in real-time. However, below are some of real-time database pros for you to know:

·         Offline sync

Real-time database can let you sync data even offline. Because the SDK can assist you in storing data on a local disk. However, when your application will be online, the changes will be synced to the server.

·         Updates in real-time

Real-time database is meant to sync data with each alteration. It can help you in mirroring the change within real-time in any type of device that’s being used.

·         Data scaling and splitting

Firebase real-time database can let you divide your data into multiple databases within the same project. You can set rules for each instant effectively.

·         Access to data from multiple devices

You can access your application data via multiple devices and interfaces including mobile and web. This is possible with a real-time database only.

·         Cost-effectiveness

The pricing of a real-time database is a function of GB stored and downloaded and simultaneous connections. It comes up with zero additional charges for operations like read, write or delete data. Do you have an operations intensive app? Real-time database can be a reasonable solution for you.

What is Cloud Firestore?

Cloud Firestore aka Google Firestore, is a part of Google Firebase; an effective application development platform. It is a cloud-hosted, NoSQL database to store and sync data. Once can access cloud Firestore directly with a mobile and web application through native SDKs.

It is allowing users to utilize options of Unity, Java, Go, Node.js and C++ SDKs and offers support for REST and RPC APIs.

Via Google Firestore database, users can experience some interesting features including:

  • Boosted performance
  • Automatic scaling
  • Higher dependability level
  • Ease of use

Because of real-time listeners, Firestore also allows data syncing across different client applications. It is using cloud identity and access management options from Google to enhance authentication.

However, this database stores data in documents format which gets stored in the form of collections. These documents are supporting a wider variety of data types. This database can be integrated with both Google cloud platform and Google Firebase.

Businesses are favoring Google Firestore for its reliability and security.

What are key advantages of using Cloud Firestore?

Here are some of the important benefits of Google Firestore that you must know:

·         Better offline support

For android, iOS, and web platforms Google Firestore is offering offline support. It means it can let you update your applications in real-time whenever a change is being made in the application backend data.

·         Supports complex queries

It offers support for complex queries and allows users to classify, filter and combine functionalities with one query. Even more, the ACID transactions’ benefits can be found too in documents and collections.

·         Google Cloud integration

Firestore is Google cloud and Firebase’s unified project. Therefore, it can let you take advantage of both services. With Google cloud scalability, users can experience Firebase’s real-time properties.

·         Multi-region deployment

It can offer advantage to global applications via its multi-region deployment. By having various servers distributed globally, it reduces latency for app users, increases app performance and prevents data from loss in a catastrophic event at any datacenter region.

·         Pay as you go pricing model

Google Firestore is a cost-efficient solution for developers. Payment and scalability of databases are directly linked. Because you have to pay as per your usage. It comes up with no limit for simultaneous connections and lets you scale applications indefinably.

What are some similarities between real-time Firebase databases and Google Firestore?

  1. NoSQL structure
  2. Both supports Google Cloud platform’s integration
  3. Scalability
  4. Real-time updates
  5. Google’s proprietary technology.

What are the differences between Real-time Firebase database and Google Firestore?

Do you want to know the most important differences between both of Google Firebase databases? Let’s have a look at the table below to get a better idea about things in this regard:

FirestoreRealtime Database
DeploymentMulti RegionSingle Region
Data ModelDocument collectionsBig JSON tree
Offline SynchronizationWeb, iOS, AndroidiOS, Android
Client Connection StatusVia Cloud CodeNative
Writes and TransactionsAdvancedBasic
ScalabilityNo limitsUp to 200,000 simultaneous connections and 1,000 writes
SecurityNon-cascading rulesCascading rules
PricingPricing covers operations, bandwidth, and storage.However, pricing per GB is less expensive.Does not charge by operations, but only bandwidth and storage.However, the price per GB is more expensive.

Do you want to have more granular information about these differences between real-time Firebase database and Google Firestore? Let’s have a look at information given below:


Real-time database comes up as a single region database solution. This can be effective for frequent state-syncing with very low latency. These databases are available zonally in a region only.

However, on the other hand, cloud Firestore is a multi-region solution that scales automatically. It supports regional and multi-regional configurations and can shelter your app data in multiple data centers to guarantee global scalability and strong dependability.

Data Model

The real-time database of Firebase stores data in the form of a big JSON tree. This offers a complex hierarchy of data that can be difficult to arrange at large scale. However, you can store simple data conveniently.

However, on the other hand, cloud Firestore stores data in documents collection form. Simple data can be stored in documents collections with ease just like JSON. Even more, complex and hierarchical data is also convenient to organize even at a large scale with the help of collections in documents.

It requires less flattering and denormalization of data.  

Offline sync

Both Google Firestore and real-time Firebase database support offline sync. However, the difference here is that real-time databases are offering this service for mobile devices only. While, Firestore supports offline sync for both mobile and web devices.

Client Connection Status

Client status is useful to be updated in real-time to know when he goes online or offline. Real-time database offers client connection status with updates whenever the connection status of client changes.

While on the other hand, cloud Firestore leverage real-time database support for presence using cloud functions to sync data in this regard.

Writes and Transactions

In real-time DB, write and transactions are basic operations. You can write data through set and update operations. However, transactions are atomic on specific data subtrees.

While, on the other hand, in Google Firestore there are advanced write and transaction operations. Here you can use set and update operations and advanced transformations to write data. However, you can read and write data by transactions from any database part.


Deep queries are being offered by real-time database. By default, these queries return the entire subtree. Queries can be either sorted or filtered at once. No index is required in queries, but some queries are generated via data set growth.

Data can be accessed irrespective to its granularity.

Cloud Firestore can find indexed queries with compound sorting and filtering. Shallow queries will return documents solely on a group or particular collection. In each query, you can chain filters rather than filtering and sorting.

Query indexing is by default here. There is no link between performance and size of the data set. Queries return the entire document always.


In real-time database sharding is required for scaling. Local limits absence on write rates to databases individually. Scaling past that requires data sharding in multiple databases.

However, on the other hand cloud Firestore supports automatic scaling. It has limitations on the rates of writes to individual documents and indexes. It offers automatic scaling entirely. Current scaling limits are 1 million concurrent connections and 10,000 writes per second. However, in the coming time the limits may increase.


In real-time Firebase databases, cascading rules present that segregates authorization and validation. Here, cascade is being ruled by read or write. While, mobile SDKs’ writes and reads are secured by the rules of real-time. You prove data accuracy separately by using validate rules.

However, in case of cloud Firestore non-cascading rules are there to bring authorization and validation together. However, here reads and writes are secured by IAM (Identity and Access Management). While, mobile SDKs reads and writes are secured by security rules of Cloud Firestore.

The rules here can restrict queries, if it comprises data that’s not for user access. Consequently, the query fails. Rules here can’t be cascaded without utilizing a wildcard.


Real-time database charge users for storage and bandwidth only but its rates are higher.

While, Firestore charges for operations conducted in DB such as delete, write and read that are done at reduced storage, rate and bandwidth.


Generally, Firestore is improved and the latest Firebase database It can handle sophisticated deployments across multiple regions. It can be used as an efficient option for complex queries, large applications and massive scaling.

However, a real-time database is the first yet killer Firebase product and can be used as a right choice for various projects, still. Specifically, operation intensive apps required to know connection status of users with less sophisticated queries demand.


What are different database solutions available from Firebase?

– The real-time Firebase database
– Google Firestore.

Which of Firebase databases is better to choose?

Generally, Firestore is improved and the latest Firebase database It can handle sophisticated deployments across multiple regions. It can be used as an efficient yet effective option for complex queries, large applications and massive scaling.

However, a real-time database is the first Firebase product and can be used as a right choice for various projects like operation intensive apps required to know connection status of users with less sophisticated queries demand.

What are some similarities between Google Firestore and real-time database?

– NoSQL structure
– Both supports Google Cloud platform’s integration
– Scalability
– Real-time updates
– Google’s proprietary technology.

What are some differences between Google Firestore and real-time database?

– Data model
– Scalability
– Deployment
– Client connections status
– Security
– Queries
– Pricing

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