Features of NoSQL
NoSQL databases are known for their flexibility and scalability, allowing for the storage and processing of large volumes of unstructured and semi-structured data. NoSQL databases offer high performance and low latency, making them suitable for real-time applications. They support horizontal scaling, enabling easy distribution of data across multiple servers to handle growing workloads. NoSQL databases also provide schema-less data models, allowing developers to quickly iterate on their data structures without strict schema constraints. Additionally, NoSQL databases offer various data models, including document, key-value, column-family, and graph databases, catering to different use cases and data needs.
To Download Our Brochure: https://www.justacademy.co/download-brochure-for-free
Message us for more information: +91 9987184296
1 - Scalability: NoSQL databases are designed to scale horizontally, allowing for the storage of massive amounts of data by distributing the workload across multiple servers or clusters. This enables flexible and cost effective growth as data volume increases.
2) High Performance: NoSQL databases are optimized for read and write operations, offering faster data retrieval and updates compared to traditional relational databases. This performance is crucial for handling real time and data intensive applications.
3) Flexibility in Data Models: NoSQL databases support various data models like key value pairs, document stores, column family databases, and graph databases. This flexibility enables developers to choose the most suitable data model based on the requirements of their application.
4) Schema less Design: NoSQL databases do not require a predefined schema, allowing for dynamic data structures and easy modifications. This feature is beneficial when dealing with constantly changing or unstructured data.
5) Distributed Architecture: NoSQL databases are designed with distributed architectures that allow data to be stored and processed across multiple nodes or servers. This enhances fault tolerance, availability, and reliability of the database system.
6) High Availability: NoSQL databases provide mechanisms for automatic failover and data replication, ensuring continuous availability of data even in the event of hardware failures or network issues. This feature is critical for mission critical applications.
7) Horizontal Scaling: With NoSQL databases, scaling horizontally by adding more servers or nodes is easier compared to traditional relational databases that often face scaling limitations. This horizontal scaling approach allows for seamless growth without downtime or performance degradation.
8) AP (Availability and Partition Tolerance) Compliance: NoSQL databases are designed to prioritize availability and partition tolerance over strict consistency (ACID properties). This makes them suitable for distributed environments where immediate data availability and fault tolerance are crucial.
9) Low Latency: NoSQL databases are optimized for low latency data access, making them ideal for applications that require real time processing and quick response times. This feature is particularly valuable for applications with high concurrency and performance requirements.
10) Support for Big Data: NoSQL databases are well suited for handling large volumes of unstructured and semi structured data commonly found in big data applications. Their distributed nature and scalability make them a preferred choice for big data processing and analytics.
11) Ease of Development: NoSQL databases offer simplicity in data modeling and development, with more straightforward APIs and data manipulation methods compared to relational databases. This ease of use accelerates application development and reduces complexity for developers.
12) Enhanced Data Modeling: NoSQL databases support dynamic and nested data structures, enabling complex data modeling that goes beyond the limitations of traditional relational databases. This flexibility is valuable for applications with evolving data requirements.
13) Real time Analytics: NoSQL databases are well suited for real time analytics and processing of large datasets, enabling organizations to derive insights and make data driven decisions quickly. This capability is crucial for applications requiring instant data analysis and reporting.
14) Cost Effectiveness: NoSQL databases often provide cost effective solutions for storing and processing large volumes of data compared to traditional relational databases. Their ability to scale horizontally and run on commodity hardware reduces infrastructure costs for organizations.
15) Compatibility with Cloud Computing: NoSQL databases seamlessly integrate with cloud platforms, enabling organizations to leverage cloud services for storage, processing, and deployment. This compatibility with cloud computing facilitates scalability, flexibility, and cost efficiency for modern applications.
Browse our course links : https://www.justacademy.co/all-courses
To Join our FREE DEMO Session: Click Here
Contact Us for more info:
Characteristics of NoSQL Database
I am learning flutter from JustAcademy, They provide very much great environment where people gather and work simultaneously. totally project based training institute.
Awesome Experience. I am a Front-end Web Designer working at Star India for 3 years now. I applied for Full-stack development and my experience has been phenomenal & they really do help with placements exceptionally. Thank you Roshan sir so much.
Flutter app monitoring with Prometheus and Grafana delivers real-time observability by instrumenting the app (via OpenTelemetry or lightweight exporters) to expose metrics that Prometheus scrapes and stores as time-series data. Grafana visualizes those metrics in customizable dashboards and triggers alerts, letting teams track CPU/memory, frame-render times, network latency, error rates and user-impacting regressions. This stack helps quickly detect performance problems, diagnose root causes, and continuously improve app stability and user experience.
Flutter CI with Codemagic is a cloud-first continuous integration and delivery solution that automates building, testing and releasing Flutter apps across iOS, Android and web using configurable workflows (codemagic.yaml), hosted macOS/Linux runners, dependency caching and parallelization. It integrates with GitHub/GitLab/Bitbucket, manages code signing and store publishing, runs unit/widget/integration tests, and generates reproducible artifacts so teams catch regressions early and ship reliably. For learners and professionals working on JustAcademy real-time projects, Codemagic removes the overhead of maintaining CI infrastructure, speeds iteration, and provides a repeatable pipeline for demonstrating and delivering polished app releases.
Using Flutter's Hot UI (hot reload and hot restart) lets developers inject code changes into a running app and see updated layouts, styles and behaviours instantly without losing app state, making it ideal for rapid prototyping. This real-time feedback loop accelerates iteration on widgets, animations and responsive designs, improves collaboration between designers and engineers, and dramatically shortens the path from idea to working MVP.
In 2025, pairing Flutter with Supabase vs Firebase means choosing between an open‑source, Postgres‑first backend and a mature Google serverless platform: Supabase gives Flutter apps SQL‑centric workflows, real‑time subscriptions, row‑level security and lower vendor lock‑in with predictable costs and direct SQL access, while Firebase offers Firestore, Auth, Functions, Analytics, polished SDKs, global scaling and turnkey managed features (offline sync, analytics, A/B testing). Both speed cross‑platform development and real‑time experiences; pick Supabase for relational control and openness, or Firebase for convenience and a broader managed ecosystem.
In 2025, Flutter and NativeScript are both mature cross-platform frameworks with different strengths: Flutter (Dart) compiles to native code and provides a rich, cohesive widget-driven UI, excellent performance, and consistent look across mobile, web and desktop, making it ideal for visually complex apps and teams that want a single expressive UI layer; NativeScript (TypeScript/JavaScript) maps directly to native UI components and gives seamless access to platform APIs, appealing to teams with strong JS/TS skills who need native look-and-feel and tight platform integration—choose Flutter for unified UI control and performance, NativeScript for native parity and easier reuse of web/JS expertise.
Flutter CI/CD with GitHub Actions is a complete tutorial-style guide that shows how to automate building, testing, signing, and deploying Flutter apps using GitHub’s workflow runner; it covers creating YAML workflows to run platform-specific builds (Android/iOS), caching dependencies, running unit/widget/integration tests, managing secrets and code signing, generating artifacts, and releasing to stores or distribution channels. By following the tutorial, developers and JustAcademy learners can enforce consistent quality, catch regressions early, speed up delivery of real-time projects, and adopt industry-standard DevOps practices that make app releases reproducible and reliable.
AI-generated UI in Flutter uses machine learning to convert design files or natural-language prompts into responsive Dart widgets, automating layout, styling, accessibility and cross-platform tweaks so prototypes and production-ready screens can be produced far faster with fewer manual edits; this streamlines collaboration between designers and developers, lets teams focus on business logic and performance, and—as models and tooling improve—will become a core part of development workflows, accelerating app delivery and hands-on learning for learners and professionals at JustAcademy.
Optimizing network calls in Flutter with Dio means using Dio’s rich HTTP client features—centralized configuration and interceptors for headers, auth, logging and error handling; request cancellation, timeouts and concurrency control; retry strategies (exponential backoff); and response caching/compression—to reduce latency, save bandwidth and improve reliability. By encapsulating API logic in a configured Dio instance, applying retries and backoff, caching frequent responses, and handling errors consistently, apps become faster, more resilient and easier to maintain—especially important for real-time project work and production-ready certifications like those at JustAcademy.
JustAcademy’s "Deploy Flutter to Firebase: A Step-by-Step Tutorial" is a concise guide that walks you through preparing a Flutter app, configuring Firebase services (Authentication, Firestore, Hosting), and using the Firebase CLI to build and deploy your app—covering both web hosting and integration for Android/iOS where relevant. It explains creating a Firebase project, adding platform-specific Firebase SDKs, adjusting app settings, running production builds, initializing Firebase Hosting, and performing the final deploy, with tips for testing and automating releases via CI/CD. By following the tutorial, developers get a practical, end-to-end workflow to ship scalable, real-time Flutter apps quickly and reliably.
Flutter Desktop keyboard shortcuts let you define and handle platform-consistent key bindings (like Ctrl/Cmd combinations) to trigger app commands without a mouse. Using Flutter’s Shortcuts, Actions, and Intents APIs (or lower-level RawKeyboard events), you map logical key sets to intent objects and implement actions that run when those intents are invoked, while respecting focus and accessibility so shortcuts work predictably across Windows, macOS, and Linux.
