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Firebase vs Xano | Which Backend is Better?

Firebase X Xano 02 2

Estimated reading time: 8 minutes

In today's application development scenario, the backend plays a fundamental role, being responsible for managing databases, authentication, and media storage. For those who are starting a software project, an important question arises: which is the best backend on the market? Firebase or Xano?

In this article, we will analyze these two strong options: Firebase, a robust solution from Google that uses a NoSQL data model, and Xano, a NoCode platform that has stood out for its ease of use and flexibility.

What is a backend?

Before we dive deeper into the comparison between Firebase and Xano, let's define what a backend is.

The backend is the part of a system that manages the services essential for the application to function, such as the database, user authentication, file storage (photos, PDFs, etc.) and the execution of automatic actions (such as sending emails at specific times).

While the frontend is what the user interacts with, the backend, whether with Firebase or Xano, performs the operations behind the scenes to ensure everything runs smoothly.

Firebase X Xano
Firebase vs Xano | Which Backend is Better? 5

Firebase: A Google Giant

Firebase is a backend solution developed by Google that is very popular among developers and startups. It offers a NoSQL database model.

This means that data is not organized relationally (like in a traditional database), but rather in collections and documents. This gives Firebase great flexibility and scalability, allowing it to be used in projects of any size, unlike Xano.

Main features of Firebase

  • NoSQL Database: Firebase uses a document-based, collection-based database that allows you to organize your data in a hierarchical manner. While this structure can be daunting for beginners, it is highly scalable and flexible, especially for projects that involve large volumes of data.
  • Authentication: Firebase provides built-in solutions for user authentication, making it easy to sign up, sign in, and recover your password without the need for additional code.
  • Media Storage: One of the highlights of Firebase is the ability to store and manage files such as photos and videos directly within its infrastructure.
  • Google Cloud Integrated Services: As a Google solution, Firebase natively integrates with other Google Cloud services, which adds even more features, such as hosting, APIs and even machine learning.
  • Customizable Security: Firebase Security Rules can be custom defined, ensuring you have complete control over who can access your data and when.

Firebase Limitations

Despite being a powerful tool, Firebase, like Xano, has some limitations. The NoSQL model may not be ideal for complex queries, as it does not prioritize relationships between data.

Additionally, for those developing applications that require very specific integration, it may be more difficult to adjust Firebase functionality without programming knowledge.

Firebase X Xano
Firebase vs Xano | Which Backend is Better? 6

Xano: NoCode Powerhouse

Now, let’s talk about Xano, a platform that is catching the attention of startups and NoCode developers for its ease of use.

Xano, unlike Firebase, is a backend that combines the best of the relational and non-relational worlds, allowing you to create a database with a user-friendly interface, similar to a spreadsheet, where tables are easy to manipulate.

Xano's main features

  • Support for Relational and Non-Relational Databases: Unlike Firebase, Xano supports both relational databases (such as PostgreSQL) and non-relational databases, which means you have more flexibility when organizing your data.
  • No-Code APIs: One of the great advantages of Xano is how easy it is to create and manage APIs. For example, you can generate an API to manage users or send data to the front-end with just a few clicks, without having to write a single line of code.
  • Authentication and User Management: Xano offers out-of-the-box authentication solutions, making it very easy to implement login and access control in your applications.
  • Easy Integration with NoCode Tools: Xano integrates seamlessly with several NoCode platforms, such as Bubble and Flutterflow, offering a scalable solution for those who want to build complete applications without the need for programming.

Limitations: Xano vs Firebase

One of Xano's limitations compared to Firebase is the lack of native hosting. In other words, while Firebase allows you to host your website or application directly, with Xano you will need to use an external solution to do so.

Additionally, while Xano is highly flexible, it still doesn't have as deep integration with Flutterflow as Firebase.

Comparison: Firebase vs Xano

Firebase X Xano
Firebase vs Xano | Which Backend is Better? 7

Now that we understand the main features of each platform, let's compare them in some important aspects.

1. Database: Firebase vs Xano

  • Firebase: It uses a NoSQL database, with collections and documents. This makes it an ideal solution for applications that need to scale quickly, but can make complex queries difficult.
  • Xano: It supports both relational and non-relational databases, offering more flexibility. It is ideal for those who need complex queries and greater control over data.

2. User Authentication: Firebase vs Xano

  • Firebase: It offers a robust and integrated solution for authentication, with support for multiple providers (Google, Facebook, etc.).
  • Xano: It also offers authentication, but with customizable APIs, which allows for greater personalization.

3. Media Storage: Firebase vs Xano

  • Firebase: Integrated storage with Google Cloud, allowing you to manage media easily and efficiently.
  • Xano: It does not offer a native storage solution, so it is necessary to use other tools for this functionality.

4. Scalability: Firebase vs Xano

  • Firebase: Highly scalable, especially for large projects. Integration with Google Cloud makes it easy to grow your application.
  • Xano: Scalable for medium and large projects, with the advantage of being easier to set up and manage for beginners.

5. Integration with NoCode Tools: Firebase vs Xano

  • Firebase: Native integration with Flutterflow, which makes mobile application development much more fluid.
  • Xano: While it doesn't have native integration with Flutterflow, Xano integrates seamlessly with several other NoCode tools, such as Bubble.

Which one to choose: Firebase or Xano?

Firebase X Xano
Firebase vs Xano | Which Backend is Better? 8

Choosing between Firebase and Xano depends on the specific needs of your project.

  • If you're building an application that needs to scale quickly, with deep integration with Google Cloud and services like machine learning, firebase may be the best choice.
  • On the other hand, if simplicity of use, rapid API creation, and flexibility between relational and non-relational databases are essential to you, Xano is an excellent option.

Both platforms have their advantages and disadvantages, and the final decision should take into account the size and requirements of your project, as well as your budget and the learning curve you are willing to face, whether with Firebase or Xano.

Conclusion

When building an app, choosing a backend is crucial. Firebase and Xano are two great options, each with their own unique features. If you’re just starting out in the NoCode world, Xano may offer a smoother learning curve and excellent value for money.

For larger and more complex projects, Firebase may be the ideal choice, especially if you plan to integrate other Google Cloud services. Want to learn more about the NoCode world and how to choose between Firebase or Xano? Check out our FlutterFlow Course free!

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Matheus Castelo

Known as “Castelo”, he discovered the power of No-Code when he created his first startup entirely without programming – and that changed everything. Inspired by this experience, he combined his passion for teaching with the No-Code universe, helping thousands of people create their own technologies. Recognized for his engaging teaching style, he was awarded Educator of the Year by the FlutterFlow tool and became an official Ambassador for the platform. Today, his focus is on creating applications, SaaS and AI agents using the best No-Code tools, empowering people to innovate without technical barriers.

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Large Language Models (LLMs) have become one of the most talked-about technologies in recent years. Since the meteoric rise of ChatGPT, generative AI-based tools are being explored by entrepreneurs, freelancers, CLT professionals, and tech-curious individuals.

But why is understanding how LLMs work so important in 2025? Even if you don't know how to program, mastering this type of technology can open doors to automation, the creation of digital products, and innovative solutions in various areas.

In this article, we will explain in an accessible way the concept, operation and real applications of LLMs, focusing on those who want to use AI to generate value without relying on code.


What is an LLM

What is an LLM?

LLM stands for Large Language Model. It is a type of artificial intelligence model trained on huge volumes of textual data, capable of understanding, generating and interacting with human language in a natural way. Famous examples include:

  • GPT-4 (OpenAI)
  • Claude (Anthropic)
  • Gemini (Google)
  • Mistral
  • Perplexity IA

These models function as “artificial brains” capable of performing tasks such as:

  • Text generation
  • Automatic translation
  • Sentiment classification
  • Automatic summaries
  • Image generation
  • Automated service

How do LLMs work?

In simple terms, LLMs are built on Transformer neural networks. They are trained to predict the next word in a sentence, based on large contexts.

The more data and parameters (millions or billions), the more powerful and versatile the model becomes.

Read more: Transformers Explained – Hugging Face

Own LLMs vs. API usage: what do you really need?

Building your own LLM requires robust infrastructure, such as vector storage, high-performance GPUs, and data engineering. That's why most professionals opt for use ready-made LLMs via APIs, like those of OpenAI, Anthropic (Claude), Cohere or Google Gemini.

For those who don't program, tools like Make, Bubble, N8N and LangChain allow you to connect these models to workflows, databases, and visual interfaces, all without writing a line of code.

Additionally, technologies such as Weaviate and Pinecone help organize data into vector bases that improve LLM responses in projects that require memory or customization.

The secret is to combine the capabilities of LLMs with good practices in prompt design, automation and orchestration tools — something you learn step by step in AI Agent Manager Training.

Difference between LLM and Generative AI

Although they are related, not all generative AI is an LLM. Generative AI encompasses many different types of models, such as those that create images (e.g. DALL·E), sounds (e.g. OpenAI Jukebox), or code (e.g. GitHub Copilot).

LLMs are specialized in understanding and generating natural language.

For example, while DALL·E can create an image from a text command, such as “a cat surfing on Mars,” ChatGPT, an LLM — can write a story about that same scenario with coherence and creativity.

Examples of practical applications with NoCode

The real revolution in LLMs is the possibility of using them with visual tools, without the need for programming. Here are some examples:

Create a chatbot with Dify

As Dify Course, it is possible to set up an intelligent chatbot connected to an LLM for customer service or user onboarding.

Automate tasks with Make + OpenAI

Node Makeup Course You learn how to connect services like spreadsheets, email, and CRMs to an LLM, automating responses, data entry, and classifications.

Building AI Agents with N8N and OpenAI

O Agents with OpenAI Course teaches how to structure agents that make decisions based on prompts and context, without coding.

Advantages of LLMs for non-technical people

Advantages of LLMs for non-technical people

  • Access cutting-edge AI without having to code
  • Rapid testing of product ideas (MVPs)
  • Personalization of services with high perception of value
  • Optimization of internal processes with automations

LLMs and AI Agents: The Future of Interaction

The next evolutionary step is the combination of LLMs and AI agents. Agents are like “digital employees” that interpret contexts, talk to APIs and make decisions autonomously. If you want to learn how to build your agents with generative AI, the ideal path is AI Agent Manager Training.

We are living in an era where texts, images and videos can now be created by artificial intelligence. But there is one element that is gaining strength as a competitive advantage: the voice.

Whether in podcasts, institutional videos, tutorials or even automated service, the ability to create realistic artificial voice is changing how companies and creators communicate. And in this scenario, the ElevenLabs AI emerges as one of the global protagonists.

What is ElevenLabs
What is ElevenLabs AI? The AI-Powered Voice Revolution 12

What is ElevenLabs?

O ElevenLabs is one of the neural speech synthesizers most advanced on the market. With its technology AI voice cloning and AI-powered text to speech, allows you to create realistic voices in multiple languages, with natural intonation, dynamic pauses and surprising emotional nuances.

Key Features:

  • Human-quality Text to Speech
  • Conversational AI with support for interactive agents
  • Studio for longform audio editing
  • Speech to Text with high accuracy
  • Voice Cloning (Instant or Professional)
  • Sound Effects Generation (Text to Sound Effects)
  • Voice Design and Noise Isolation
  • Voice Library
  • Automatic dubbing in 29 languages
  • Robust API for automations with tools like N8N, Make, Zapier and custom integrations
ElevenLabs FAQ
What is ElevenLabs AI? The AI-Powered Voice Revolution 13

ElevenLabs FAQ

Find out more about the company and news from ElevenLabs directly at official website of ElevenLabs and see the API documentation.

Does ElevenLabs have an API?

Yes, ElevenLabs has a complete API that allows you to integrate speech generation with automated workflows.

With this, it is possible to create applications, service bots, or content tools with automated audio.

Discover the Make Course from NoCode Start Up to learn how to connect the ElevenLabs API with other tools.

Are ElevenLabs voices copyright free?

AI-generated voices can be used commercially, as long as you respect the platform's Terms of Use and do not violate third-party rights by cloning real voices without authorization.

Is it possible to use ElevenLabs for free?

Yes. ElevenLabs offers a free plan with 10,000 credits per month, which can be used to generate up to 10 minutes of premium quality audio or 15 minutes of conversation

This plan includes access to features like Text to Speech, Speech to Text, Studio, Automated Dubbing, API, and even Conversational AI with interactive agents.

Ideal for those who want to test the platform before investing in paid plans.

What is the best alternative to ElevenLabs?

Other options include Descript, Murf.ai and Play.ht. However, ElevenLabs has stood out for its natural voice, advanced audio editing features with AI, API integration and support for multiple languages.

Their paid plans start from US$ 5/month (Starter) with 30 thousand monthly credits, and go up to scalable corporate versions with multiple users and millions of credits.

See all available plans on the ElevenLabs website. However, ElevenLabs has stood out for the naturalness of its voice and the quality of its API.

How does ElevenLabs work?

You submit a text, choose a voice (or clone one), and AI converts that text into realistic audio in seconds. It can be used via the web dashboard or via API for automated workflows.

Examples of using ElevenLabs AI in practice

1. Video and podcast narration

Ideal for creators who want to save time or avoid the costs of professional voiceovers.

2. Automated service with human voice

Turn cold bots into realistic, empathetic voice assistants.

3. Generating tutorials and training with audio

Companies and CLT professionals can create more engaging internal materials.

4. Applications that “talk” to the user

With tools like Bubble, FlutterFlow or WebWeb, it is possible to integrate AI voice into apps.

How to integrate ElevenLabs with NoCode tools

NoCode tools
What is ElevenLabs AI? The AI-Powered Voice Revolution 14

N8N + ElevenLabs API

Allows you to automate voice generation based on dynamic data using visual workflows in N8N. It is ideal for creating processes such as audio customer service responses, automated voice updates, and more.

Discover the N8N Course from NoCode Start Up

OpenAI Agents + ElevenLabs

With the use of AI agents, it is possible to create voice-responsive systems, such as a virtual attendant that speaks to the customer based on a dynamic prompt.

See the Agents with OpenAI Course

Bubble/FlutterFlow + ElevenLabs

Use the API to insert audio into your apps with interaction triggers or dynamic events.

ElevenLabs and NoCode: Open the door to creating experiences with voice AI

AI-generated voice is already a powerful, accessible and potential-rich reality. ElevenLabs is not just a tool, but an engine for creating immersive, automated and more human experiences.

If you want to learn how to integrate these possibilities with NoCode and AI tools, NoCode Start Up has the ideal paths:

The market is changing – fast. Artificial intelligence is no longer a trend, it has become a necessity. Companies are cutting costs, optimizing operations and looking for specialists to implement AI in their daily lives. And this is exactly where the AI profession comes in. AI Manager Course.

NoCode AI Manager Course: What it is, Who it is for and What its Objectives are

THE AI Agent Manager Training It is aimed at anyone who wants to enter the field of artificial intelligence in a practical way, without needing to know how to program.

The main objective is to train professionals capable of delivering automation and real solutions for companies using NoCode tools.

It is ideal for both those who want to offer services and those who want to open their own AI agency.

The training proposal is clear: enable you to bill more than R$14,000 per month working with intelligent solutions — a market that is only growing.

Access the training here

What is Included in the AI Agent Manager Course?

The training is structured in complete knowledge trails, with content organized by theme and level of mastery:

Topics covered:

  • Fundamentals from Zero to Advanced
  • Mastering Automations with AI
  • Creating and Selling AI Agents to Companies
  • Applied Prompt Engineering
  • Using NoCode tools like n8n, Dify, Make, OpenAI and more
  • Integration with WhatsApp, CRMs and payment gateways
  • Ready-to-clone and apply templates

When you sign up, you get:

  • 8 complete formations, including SaaS AI and technical courses from NoCodeStartUp;
  • Access to exclusive community, active and with direct support from instructors;
  • 1 year full access, including the Make paid plan;
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Differences between AI Manager Training and Other Courses

Unlike many generic courses, this training was designed as a complete ecosystem of learning and practical application, with total focus on generating results for the student.

  • 100% classes structured, edited and with step-by-step teaching methods
  • Mentors present, community engaged
  • Trail with beginning, middle and end, organized with teaching methodology
  • Real opportunities and networking with companies and devs
  • Masterclasses with experts who already apply AI in agencies and companies

Take advantage of the offer

What is the cost of the AI Manager Course and Access Conditions?

The promotional value of the training is R$ 1,497 in cash or in up to 12 installments of R$ 157.53 on the credit card.

  • Full access for 12 months
  • 7-day money-back guarantee
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FAQ: Main Questions About the AI Manager Course

Do you need prior knowledge?
No. All content is designed for absolute beginners in AI and NoCode.

How long do I have access?
You will have 1 year of access complete to the platform and updates.

Can I ask for a refund if I don't like it?
Yes. You have 7 days warranty to test and cancel without bureaucracy.

I'm a PRO student. Do I already have access?
Yes. NoCodeStartUp PRO subscribers have unlimited access to the training.

What are the extra costs for tools?
The only initial cost for teaching purposes is US$ 5 to use OpenAI API.

How long will it take for me to see results?
In the first few days, you can create and test your first AI agent.

What do I get when I purchase?
Immediate access to all tracks, bonuses, community, templates, Masterclass and tools.

How to Become an AI Manager?

To become an AI manager, the ideal is to start with training that combines practice and theory in an accessible way.

The NoCodeStartUp course focuses exactly on that, teaching how to create automations with AI without requiring prior programming knowledge.

You'll learn everything from the fundamentals to delivering real solutions using platforms like n8n, Make, Dify, Zapier, and OpenAI.

How Much Does an AI Manager Earn?

According to the market itself and reports from students, an AI manager can earn above R$10 thousand per month, working with consultancies, creating personalized agents or recurring services via intelligent automation.

Which Course Should I Take to Work with AI?

If you are looking for a practical, up-to-date course, with a strong connection to the market and no programming requirements, AI Agent Manager Training is one of the most complete currently.

It combines technical content with real-world application so you can start working quickly.

Invest in Yourself: Become a Professional AI Manager

If you are looking for a way to stand out in the digital market, enter the technology area without having to program and act with something that is growing rapidly, this course is a smart shortcut.

The AI Agent Manager Training provides a clear path, real support and applicable tools for you to work with AI in a professional manner.

It is applied learning with a total focus on solving real problems using artificial intelligence.

Access the AI Manager training now and start building a new future with AI.

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