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Best ChatGPT Prompts for Better Answers

Best ChatGPT Prompts for Better Answers
Hostman Team
Technical writer
Infrastructure

ChatGPT is a powerful tool for generating text, code, creating content strategies, and even working with images. It allows users to get accurate answers to complex questions across many fields of human activity. Developed by OpenAI based on the GPT architecture, this AI assistant can understand context, maintain long conversations, and adapt its communication style to the user’s needs.

To get the most useful answers, it’s important to learn how to properly formulate requests, or “prompts,” for ChatGPT. We’ll explain this in more detail below.

We’ll also share the best ChatGPT prompts to help you work more efficiently, show how to build well-structured requests, give examples with detailed ChatGPT responses, and explain how to write prompts for visual content through DALL·E.

All examples in this article use the free version of ChatGPT.

What Prompts Are and Why They Matter

A prompt is a text request that a user sends to ChatGPT or another AI model to get a desired answer. Simply put, it’s an instruction for the neural network explaining exactly what you want to receive.

Why is it important to create a good prompt for ChatGPT? Here are the main reasons:

  • Improved answer accuracy: The clearer and more detailed your prompt, the more relevant and useful the response will be.

  • Time savings: A well-structured request saves you from repeatedly rephrasing or clarifying your question.

  • Fewer mistakes: Clear instructions reduce the risk of incorrect or outdated information.

  • Optimized workflow: Good prompts let you automate complex tasks, from content creation to data analysis.

  • Structured results: Properly designed prompts help get answers in the needed format: lists, tables, step-by-step guides, etc.

  • Personalized responses: Adding context to your request makes ChatGPT’s answers more relevant to your needs (context includes role, tone, audience, format, etc.).

  • Better AI learning: Well-crafted prompts help the AI understand your preferences over time. That’s why it’s best to keep an ongoing conversation with ChatGPT within one chat thread when working on the same topic.

ChatGPT analyzes your request and provides the most relevant answer based on previously learned data. The clearer your prompt, the more accurate the AI’s response will be.

Examples of Weak and Strong Prompts

đź”´ Weak Prompt

🟢 Strong Prompt

“Collect information about clouds.”

“Write a 1,000-word piece about the benefits of cloud technologies for small businesses. Include a comparison of Hostman with competitors.”

“Tell me about hosting.”

“Compare Hostman and AWS pricing for high-traffic websites. Highlight the pros and cons of each.”

“Write something about marketing.”

“Write 5 marketing strategies for promoting a SaaS product in 2025 via Facebook. Format: short description + 3 concrete actions for each.”

How to Create Your Own Prompts

Below are the main rules for writing effective prompts and common mistakes to avoid when working with ChatGPT.

Rules for Writing Prompts

Main principles for crafting perfect prompts:

  • The more specific your request, the more relevant the answer.
  • Always specify the desired output format (list, table, step-by-step guide).
  • For professional tasks, add context (AI’s role, difficulty level, target audience).
  • Use examples and analogies to match your expectations precisely.
  • Clearly state any constraints or special requirements.
  • Indicate timeframes for data relevance.
  • Ask for sources when you need verified information.
  • Balance detail with conciseness.

Another useful tip: save successful prompts somewhere convenient: a text editor, personal notes, or a dedicated ChatGPT chat named “Templates.” This helps in the future since many prompts can be reused simply by changing key parameters.

You can also use existing prompt libraries and adapt them to your needs, for example, prompthackers.co.

Common Mistakes

Here are typical mistakes when writing prompts, along with examples of how to improve them:

  • Too general requests
    • đź”´ “Tell me about AI.”
    • 🟢 “Explain how ChatGPT is used in the banking sector in 2025.”
  • Lack of structure
    • đź”´ “Give tips on time management.”
    • 🟢 “Create a checklist: ‘5 time management methods for remote workers.’ Format: Name → Essence → Example.”
  • Ignoring context
    • đź”´ “Write a text.”
    • 🟢 “Write a commercial proposal for Hostman (audience: CTOs of mid-sized companies). Tone: expert, but conversational.”
  • Vague clarifications
    • đź”´ “Make it shorter.”
    • 🟢 “Reduce to 300 words, keeping key data from the table.”
  • Overloading with details
    • đź”´ “Write an article about cloud technologies but exclude AWS, Microsoft Azure, IBM Cloud, Oracle Cloud, DigitalOcean, Linode, Vultr.”
    • 🟢 “Write an article ‘AWS Alternatives for Small Businesses’ with the main focus on Hostman”

Top 10 Universal Prompts for ChatGPT

This section includes ready-made prompt templates that will become reliable tools when working with ChatGPT. These prompts cover a wide range of tasks, from creative brainstorming to complex technical analysis.

We’ll look at 10 universal and practical prompts for the following categories:

  • Analysis and comparison
  • Idea generation
  • Psychology and self-development
  • Content strategy
  • Writing and editing
  • Programming
  • Image generation (DALL·E)
  • Learning and education
  • Business
  • Creativity

Each template is:

  • Well thought out: structured for high-quality answers
  • Universal: suitable for both beginners and professionals
  • Flexible: easily adaptable to specific needs

To use a template, choose the category and replace the placeholders in square brackets with your own values. For complex tasks, you can even combine several templates into one (an example will be shown at the end of the section).

All prompts are optimized for GPT-4 and newer versions to ensure highly relevant results even for advanced professional use.

1. For Analysis and Comparison

Purpose: Professional comparison of products, services, or technologies based on specific criteria with expert conclusions.

Ideal for: Selecting IT solutions, preparing reviews, making business decisions.

Template:

Compare [Object A] and [Object B] by the following criteria: [1–5 parameters].

Format: table with columns “Feature,” “Object A,” “Object B,” and “Recommendation.”

Specify the best option for [scenario].

Example:

Compare Hostman VPS and Linode VPS by: price per 1 vCPU, SLA, support speed, and control panel usability. Highlight the optimal choice for a startup with 50K visitors/month.

ChatGPT response:

60d4d17d 0bdc 4005 98fd Ea7e2d4b826d

Tips:

  • Set timeframes:
    • đź”´ “Compare hosting prices.”
    • 🟢 “Compare 2025 hosting prices including seasonal discounts.”
  • Ask for data sources:
    • đź”´ “Which platform is better?”
    • 🟢 “Compare using data from official websites and independent tests.”
  • Provide context:
    • đź”´ “Which is cheaper?”
    • 🟢 “Which is more cost-effective for a site with 50K visits/month: shared hosting or VPS?”
  • Ask for alternatives:
    • “If the budget is limited to $35/month, what are Hostman’s alternatives?”
  • Specify output format:
    • “Present the data in a table, then give a short verdict for beginners.”

2. For Idea Generation

Purpose: Structured brainstorming with clear logic.

Application: Finding concepts for startups, content marketing, product design, or creative projects.

Template:

As a [role], suggest [N] ideas for [task].

Structure: 1) Title → 2) Target Audience → 3) Benefit → 4) Example → 5) Risks.
Focus on: [requirements].

Example:

As an art director, suggest 5 ad campaign ideas for Hostman in the metaverse. Focus on interactivity and B2B audience.

ChatGPT response:

3be30829 Bab7 47db A006 C2dec753dbef

Tips:

  • Rank ideas by priority:
    • đź”´ “Give 5 post ideas.”
    • 🟢 “Suggest 5 social media post ideas about Hostman, sorted by feasibility/effectiveness. Consider: budget up to $100, B2B engagement.”
  • Define evaluation criteria:
    • “Exclude ideas requiring more than 3 days to execute.”
    • “Prioritize ideas with viral potential.”
  • Ask for examples:
    • “Show similar cases from the industry for the top 3 ideas.”
  • Limit scope:
    • “Only ideas that don’t require contractors.”
    • “Focus on formats: guides, case studies, interactives, polls.”
  • Request next steps:
    • “For the best idea, outline a 3-day action plan.”

3. For Psychology and Self-Development

Purpose: Scientifically grounded methods for solving personal and professional issues.

Especially useful for: coaching, stress self-help, and developing emotional intelligence.

Template:

As a [specialist], create a [duration]-long plan for solving [problem]. 

Include: 1) Theoretical foundation → 2) Step-by-step techniques → 3) Self-diagnosis tools → 4) Recommended resources. 

Adapted for: [audience].

Example:

As an HR expert with experience in IT, design an 8-week onboarding program for a new employee at a cloud company. Include:

  • Role introduction plan (days 1–30, broken down by week)
  • Methods for evaluating professional skills (checklists, test tasks)
  • Mentorship system (roles, meeting frequency, KPIs)
  • Recommendations for integrating into corporate culture (events, company traditions)

ChatGPT response:

1f0c35fe 17c7 4878 9191 Ee5682ac2a40

Tips:

  • Require scientific backing:
    • đź”´ “How to deal with anxiety?”
    • 🟢 “Using CBT (Beck) and the ABCDE model (Ellis), propose a 4-week anxiety management plan for IT specialists. Include research on the effectiveness of these approaches.”
  • Specify theories:
    • “Explain burnout stages using the Maslach model (emotional exhaustion → cynicism → reduced productivity).”
    • “For procrastination, use Piers Steel’s temporal motivation theory.”
  • Request context adaptation:
    • “Apply Gestalt therapy techniques to conflict situations in remote teams.”
    • “How can the GROW model be applied to IT career coaching?”
  • Ask for self-assessment tools:
    • “Add a checklist for tracking progress on a 1–10 scale.”
    • “What 3 questions can help identify the stage of stress according to Selye?”
  • Limit complexity:
    • “Explain terms in simple words, suitable for beginners.”
    • “Exclude medical recommendations.”

4. For Content Strategy

Purpose: Comprehensive publication planning with measurable KPIs.

Ideal for: blogging, SMM, email marketing, and sales funnels.

Template:

As a [position], create a [time period] strategy. 

Include: 1) Target personas → 2) Thematic clusters → 3) Calendar (format/KPIs) → 4) Tools.

Example: 

As a head of content marketing, develop a quarterly blog strategy for Hostman with KPIs focused on trial conversions. Emphasize guides about migrating from competitors.

ChatGPT response:

3e0755c9 A3ff 4668 82e1 083c3e675aa7

Tips:

  • Tie it to business goals:
    • đź”´ “Need a content plan.”
    • 🟢 “Develop a quarterly strategy for the Hostman blog with KPI: +15% increase in trial conversions. 70% educational content, 30% case studies.”
  • Specify success metrics:
    • “For Facebook posts, define target metrics: CTR >3%, engagement >5%.”
    • “Estimate potential reach for each topic.”
  • Request cross-channel integration:
    • “How can a guide be turned into a Facebook post series and email campaign?”
    • “Propose a cross-promotion scheme between YouTube and the blog.”
  • Ask for competitor analysis:
    • “Add analysis of 2 successful strategies from competitors in the cloud segment.”
    • “Which topics bring the highest engagement for competitors?”
  • Limit resources:
    • “For a 2-person team: 1 long-read per week + 3 social channels.”
    • “Without hiring copywriters.”

5. For Working with Texts

Purpose: Creating and optimizing commercial or informational materials. Fields: copywriting, SEO, technical documentation, scripts.

Template:

As a [role], write a [type of text] for [target audience].

Parameters: length → style → required elements → restrictions → SEO.

Structure: [sections].

Example:

As a technical writer, create a guide titled “Setting Up WordPress on Hostman” (1,500 words). Avoid jargon, include GIF instructions.

ChatGPT response:

B77ee57b 07d4 47ef Bd34 8ba5d6b00491

Tips:

  • Clearly define the text’s purpose:
    • đź”´ “Write a text about clouds.”
    • 🟢 “Write a commercial proposal for Hostman aimed at small businesses. Goal: conversion into demo requests.”
  • Set style and tone:
    • “Tone: friendly yet professional, as if explaining to a colleague.”
    • “Avoid bureaucratic phrases; write naturally.”
  • Add SEO parameters if needed:
    • “Include keywords: ‘cloud hosting,’ ‘VPS for business,’ ‘reliable hosting.’ Keep keyword density natural.”
    • “Add LSI words: ‘scalability,’ ‘data security,’ ‘uptime.’”
  • Request examples and comparisons:
    • “Provide 3 strong headline examples for this kind of article.”
    • “Compare with competitor texts: what can be improved?”
  • Limit length and complexity:
    • “Max 1,000 words, divided into H2-H3 subheadings.”
    • “Explain terms like ‘CDN’ in parentheses in simple words.”

6. For Programmers

Purpose: Code generation and analysis with full documentation.

Main uses: writing scripts, debugging, creating APIs, automating DevOps processes.

Template:

As a [language] developer of [X] level, write code for [task].

Input → expected output → constraints → requirements.

Format: algorithm → code → tests.

Example:

As a senior Python developer, create a server monitoring script for Hostman with API integration and Telegram notifications. Requirements: async, logging.

ChatGPT response:

F847719e A8b0 4f88 Bbd7 6ac83b351567

Tips:

  • Specify exact versions:
    • đź”´ “Write a backup script.”
    • 🟢 “Write a Python (3.10+) script for daily MySQL (8.0) backups to Hostman S3. Requirements: async, file logging, Telegram error alerts.”
  • Request explanations:
    • “Add comments every 5 lines to clarify complex code sections.”
    • “Explain why you chose this algorithm (e.g., QuickSort vs. MergeSort).”
  • Require tests:
    • “Add 3 unit tests with edge cases.”
    • “How to test this API in Postman?”
  • Ask for alternatives:
    • “Show alternative solutions in Go and Rust. Compare performance.”
  • Set constraints:
    • “No external libraries.”
    • “Execution time ≤100ms for 10K records.”

7. For Image Creation (DALL·E)

Purpose: Precise technical specifications for neural image generation (DALL·E).

Applications: ad banners, article illustrations, concept art, presentations.

Template:

As an art director, create a prompt:

1) Object → 2) Style → 3) Composition → 4) Color palette → 5) Lighting → 6) Restrictions.

Goal: [usage].

Example:

Create a prompt for a “Hostman Enterprise” banner: a cyberpunk-style server, palette #0A1640/#00C1FF, HUD elements, no people.

ChatGPT response:

C2704583 B97f 40a8 8937 Dc66c4f5315c

Image generated by ChatGPT:

Chat GPT Image

Tips:

  • Be extremely specific:
    • đź”´ “Draw a cloud server.”
    • 🟢 “Generate a 3D render of a Hostman server in blue-white tones. Style: cyberpunk with neon accents. Background: network map with nodes. Aspect ratio 16:9, no people.”
  • Reference known styles:
    • “In the style of the interfaces from the Foundation series.”
    • “Like Wired magazine covers from the 2020s.”
  • Control composition:
    • “Main object centered, occupying 70% of the frame.”
    • “Blurred background with depth-of-field effect.”
  • Request variations:
    • “Show 3 versions: minimalism, retro-futurism, and photorealism.”
    • “Change only the palette to dark/light mode.”
  • Technical constraints:
    • “No text in the image.”
    • “Resolution: 1024×1024, format: PNG.”

8. For Learning and Education

Purpose: Designing educational programs using modern methodologies.

Application: course creation, training materials, workshops, interactive modules.

Template:

As a professor of [subject], design a [number]-hour module.

Include: goals → plan (theory/practice) → adaptations → glossary.

Constraints: [parameters].

Example:

Develop an 8-hour course “Cloud Fundamentals” for university students: lectures in Prezi, labs on Hostman, quizzes in Kahoot.

ChatGPT response:

Ef81c94b Eabd 418d Ba5b E602ff23d5c4

Tips:

  • Base on teaching models:
    • đź”´ “Create a Python course.”
    • 🟢 “Using the ADDIE model (Analysis, Design, Development, Implementation, Evaluation), create a 4-week course ‘Python for Data Analysis.’ Goal: teach students to visualize data using Matplotlib.”
  • Define difficulty level:
    • “For junior DevOps: basics of Kubernetes.”
    • “For senior developers: algorithm optimization in C++.”
  • Add interactive elements:
    • “Include 3 simulated real-world cloud development cases.”
    • “Propose a gamification format for a cybersecurity module.”
  • Require practical tasks:
    • “Design a lab exercise: deploying a web app on Hostman.”
    • “Create a test assignment with automatic checking via GitHub Actions.”
  • Consider technical limitations:
    • “Course must run on low-end PCs (no Docker).”
    • “Use only free tools (VS Code, Colab).”

9. For Business

Purpose: Strategic market and process analysis.

Applications: business planning, SWOT analysis, competitor research, financial modeling.

Template:

As a consultant from [company], conduct an analysis of [object] using the following framework: 

1) Market Size → 2) PESTEL → 3) Benchmarking → 4) SWOT → 5) Forecasts.

Data sources: [list of references].

Example:

Analyze the European cloud gaming market: 2024 market size, PESTEL factors, comparison of NVIDIA GeForce Now / Shadow PC / Boosteroid, and projections through 2026.

ChatGPT response:

9ac60c30 9f26 4686 97a8 A1850e6db603

Tips:

  • Be specific with goals:
    • đź”´ “How to increase profits?”
    • 🟢 “Develop 3 revenue growth strategies to increase a SaaS startup’s revenue by 30% within 6 months. Focus: upselling existing clients and reducing churn rate. Use the AARRR framework.”
  • Ask for supporting data:
    • “Analyze the European cloud services market (size, trends, competitors). Use sources such as Statista, Gartner, and official company reports.”
    • “Calculate CAC for our current ad campaign.”
  • Request alternative approaches:
    • “What are the best options for entering the EU market: partnerships vs. independent launch?”
    • “Compare investment risks for expanding VPS services versus cloud storage solutions.”
  • Link to business processes:
    • “How can the new product be integrated into our existing SaaS ecosystem?”
  • Consider resource limitations:
    • “Budget: up to €50,000, team of 5 people.”
    • “Propose solutions that don’t require hiring additional staff.”

10. For Creativity

Purpose: To generate compelling stories and concepts.

Ideal for:

  • Writers: for books and short stories;
  • Screenwriters: for films and series;
  • Game developers: for characters and worldbuilding;
  • Musicians: for album or concept creation.

Template:

As a [profession], create a [type of work] in the [genre] style.

Parameters: Characters → Setting → Conflict → Style.

Format: Logline → Synopsis → Scene breakdown.

Example:

As a Black Mirror-style screenwriter, develop a concept for an episode about AI in 2045, exploring the theme “Privacy vs Convenience.”

ChatGPT response:

4a5d23be F43e 45cc 90e4 07abb229ed14

Tips:

  • Be specific about genre and audience:
    • đź”´ “Write a story about a scientist.”
    • 🟢 “Write the first chapter of a science fiction story about a bioengineer who discovers how to edit DNA using quantum computers. Style: mix of Black Mirror and The Martian. Audience: hard sci-fi fans (ages 25–45), with emphasis on scientific realism.”
  • Request structure:
    • “Outline the plot using Joseph Campbell’s ‘Hero’s Journey’ model.”
    • “Create a dialogue example with subtext (in the style of Aaron Sorkin).”
  • Ask for visualization:
    • “Describe a key cinematic shot for a poster in the style of Blade Runner.”
    • “Which color palette best conveys the atmosphere?”
  • Avoid clichés:
    • “Exclude tropes like ‘the chosen one’ or ‘evil AI.’”
    • “Suggest three unexpected plot twists.”
  • Consider technical constraints:
    • “Script for a 10-minute short film (maximum 5 locations).”
    • “Concept for a mobile game with simple gameplay.”

Combined Prompt Example

The prompt templates presented above cover most professional user tasks. For maximum efficiency, you can combine them, for example: analysis (section 1) + text generation (section 5) + visualization (section 7).

Example prompt

Act as both an IT analyst and a digital marketer. I need a comprehensive comparison of cloud hosting platforms (AWS, Google Cloud, and Hostman) with materials ready for publication. Perform the following tasks sequentially:

1. Conduct a detailed analysis:

  • Compare by: cost per vCPU, SSD size, network bandwidth, SLA uptime.
  • Present results in a table with columns: “Feature,” “AWS,” “Google Cloud,” “Hostman.”
  • Conclude with a recommendation for a startup with a $50/month budget.

2. Write an SEO article based on the analysis:

  • Title: “AWS vs Google Cloud vs Hostman: An Objective Comparison for 2025.”
  • Length: 2,000 words.
  • Structure:
    • Introduction (importance of choosing the right provider);
    • Methodology;
    • In-depth review of each provider;
    • Summary table (from step 1);
    • Recommendations for different use cases.
  • Tone: Expert but accessible;
  • Keywords: “cloud hosting,” “VPS comparison,” “Hostman review.”

3. Create visualization prompts (for DALL·E or Midjourney):

  • Style: Corporate infographic (blue and white color palette).
  • Elements:
    • 3D servers with provider logos;
    • Comparative performance and pricing charts;
    • “Price/Performance” scale;
    • Minimalist background with digital accents.
  • Formats: Article cover, comparative infographic, architecture diagram.

4. Additional tasks:

  • Suggest 3 social media posts based on the article.
  • Format: “Did you know that…” + key takeaway + infographic.
  • Platforms: LinkedIn, Reddit.
  • Ensure all data is consistent across text and visuals. Numbers in the text must match tables and charts. Use professional terminology, but explain complex terms for beginners.

ChatGPT response:

1ca41e8b 6bb4 4710 8ac3 266bf08623cd

This prompt structure provides:

  • A unified request instead of multiple separate ones;
  • Logical flow: analysis → writing → visuals → promotion;
  • Consistent data across all materials;
  • Publication-ready results.

For even higher precision, you can add: “Before starting, ask 3 clarifying questions to better define the task.” This approach helps the AI better understand the project and deliver higher-quality results.

Key Takeaways

In this article, we explored what prompts are and how to craft them effectively, showcasing 10 universal examples across different categories.

A prompt is a text instruction you send to ChatGPT to get a desired response. The clearer and more detailed the prompt, the more accurate and useful the result.

Core principles of effective prompting:

  • Clarity and detail (including timeframes, parameters, and constraints);
  • Specify the response format (table, list, step-by-step guide);
  • Add context (AI role, complexity level, target audience);
  • Include examples and analogies for clarity;
  • Note technical requirements (length, tone, restricted elements).

Common mistakes:

  • Overly vague prompts (“Write something”);
  • No structure or logic;
  • Ignoring context (missing role or audience);
  • Overcomplicating with conflicting details;
  • Poor clarification (missing data or specific names).

Improvement tips:

  • Start broad, then refine details step by step;
  • Save successful prompts as templates;
  • Request data sources for analytical tasks;
  • Use iterations: “Add to the previous answer…”

Additional recommendations:

  • For creative work, include stylistic references;
  • For technical tasks, specify software versions or languages;
  • For business analysis, ask for alternative scenarios;
  • Always verify critical data. ChatGPT is a tool, not a substitute for expertise.

Save the templates from this guide as a quick-reference list and adapt them over time to fit your workflow. By mastering the art of crafting effective prompts, you’ll unlock ChatGPT’s full potential, transforming it into a personal assistant for work, creativity, and learning. Experiment with phrasing, analyze results, and refine your prompts: that’s how you’ll make AI a truly powerful tool in your toolkit.

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Why Developers Use the Cloud: Capabilities and Advantages

Today, up to 100% of startups begin operating based on providers offering services ranging from simple virtual hosting to dedicated servers. In this article, we will examine the advantages of cloud computing that have led to its dominance over the “classic” approach of having a dedicated server in a separate room. Cloud Use Cases Typical scenarios for using cloud technologies include: Full migration of a business application to a remote server. For example, enterprise resource planning or accounting software. These applications support operation via remote desktop interfaces, thin clients, or web browsers. Migration of specific business functions. Increasingly, archival copies are stored in the cloud while software continues running locally. Alternatively, a backup SQL server node can be hosted remotely and connected in case the local server fails. Implementation of new services. Businesses are increasingly adopting automated systems for data collection and analytics. For example, Business Intelligence (BI) technologies have become popular, helping generate current and comparative reports. Interaction between local and cloud environments. Hybrid services are well established in large networks. For example, a retail store may operate a local network with an on-site server, receive orders from an online store, and send requests back to transport companies, and so on.This setup allows offline operation even if the internet is fully disconnected: processing sales, receiving shipments, conducting inventories, with automatic synchronization once connectivity is restored. These examples represent foundational scenarios, giving developers plenty of room to innovate. This is one reason more and more coders are attracted to the cloud. Advantages Now let’s examine the advantages and disadvantages of cloud computing. Yes, the technology has some drawbacks, including dependency on internet bandwidth and somewhat higher requirements for IT specialists. Experienced professionals may need retraining, whereas younger personnel who learn cloud technologies from the start do not face such challenges. Speed Software development often requires significant time and effort for application testing. Applications must be verified across multiple platforms, resolutions, and device types. Maintaining local machines dedicated to testing is inefficient. Cloud computing solves this by enabling rapid deployment of virtually any environment, isolated from other projects, ensuring it does not interfere with team development. High deployment speed and access to cloud services also encourage IT startups to launch almost “from scratch,” with minimal resource investment. The advantages of cloud services are especially critical when development volumes periodically expand. Purchasing hardware consumes a developer’s most valuable resource: time. In the cloud, selecting a plan takes just a few minutes, and the setup of a remote host for specific tasks can begin immediately. Hardware resources on the remote server, such as CPU cores, memory, and storage, can also be easily adjusted. Security Building a private server is expensive. Besides the powerful machines, you will need backup power and internet lines, a separate room with air conditioning and fire protection, and security personnel to prevent unauthorized access. Cloud providers automatically provide all these features at any service level. Other security advantages include: Easier identity and access management (IAM). Higher reliability for continuous business operations. Protection against theft or seizure of storage devices containing sensitive data. On a cloud server, users cannot simply plug in a USB drive to download files. Data does not reside on local machines, and access is controlled according to company policy. Users only see what their role allows. This approach reduces the risk of viruses and accidental or intentional file deletion. Antivirus software runs on cloud platforms, and backups are automatically maintained. Cost Efficiency Purchasing server hardware is a major budget burden, even for large corporations. Before the cloud boom, this limited IT development. Modern developers often need test environments with unique infrastructure, which may only be required temporarily. Buying hardware for a one-time test is inefficient. Short-term rental of cloud infrastructure allows developers to complete tasks without worrying about hardware maintenance. Equipment costs directly impact project pricing and developer competitiveness, so cloud adoption is advantageous. Today, most software is developed for cloud infrastructure, at least with support for it. Maintenance, storage, and disposal costs for IT equipment also add up. Hardware becomes obsolete even if unused. This makes maintaining developer workstations for “simple” desktop software costly. Offloading this to a cloud provider allows developers to always work with the latest infrastructure. Convenience Another cloud advantage is ease of use. Cloud platforms simplify team collaboration and enable remote work. The platform is accessible from any device: desktop, laptop, tablet, or smartphone, allowing work from home, the office, or even a beach in Bali. Clouds have become a foundation for remote work, including project management. Other conveniences include: Easy client demonstrations: Developers can grant access and remotely show functionality, or run it on the client’s office computer without installing additional components. Quick deployment of standard solutions: Setting up an additional workstation takes only a few minutes, from registering a new user to their trial login. New developers can quickly join ongoing tasks. Easy role changes: In dynamic teams, personnel often switch between projects. Access to project folders can be revoked with a few clicks once a task is completed. This also applies to routine work: adding new employees, blocking access for former staff, or reassigning personnel. A single administrative console provides an overview of activity and simplifies version tracking, archiving, and rapid deployment during failures. Stability Another factor affecting developer success is the speed of task completion. Beyond rapid deployment, system stability is critical. On local machines, specialists depend on hardware reliability. A failure could delay project timelines due to hardware replacement and configuration. Moving software testing to the cloud enhances the stability of local IT resources, particularly in hybrid systems. Cloud data centers provide Tier 3 minimum reliability (99.982% uptime) without additional client investment. Resources are pre-provisioned and ready for use according to the chosen plan. Development, testing, and operation are typically conducted within a single provider’s platform, in an environment isolated from client services. Conclusion Cloud technologies offer numerous advantages with relatively few drawbacks. Businesses and individual users value these benefits, and developers are encouraged to follow trends and create new, in-demand products. Virtually all commerce has migrated to the cloud, and industrial sectors, especially those with extensive branch networks and remote facilities, are also adopting cloud solutions.
25 November 2025 · 6 min to read
Infrastructure

PostgreSQL vs MySQL: Which Database Is Right for Your Business?

PostgreSQL and MySQL are among the most popular relational databases. In this article, we will examine the functional differences between them and compare their performance so that you can choose the database that is suitable for your business. PostgreSQL vs MySQL Despite the increasing similarity in features between PostgreSQL and MySQL, important differences remain. For example, PostgreSQL is better suited for managing large and complex databases, while MySQL is optimal for website and online-application databases because it is oriented toward speed. This follows from the internal structure of these relational database systems, which we will examine. Data Storage in PostgreSQL and MySQL Like any other relational databases, these systems store data in tables. However, MySQL uses several storage engines for this, while PostgreSQL uses only a single storage engine. On one hand, this makes PostgreSQL more convenient, because MySQL’s engines read and write data to disk differently. On the other hand, MySQL offers greater flexibility in choosing a data engine. However, PostgreSQL has an advantage: its storage engine implements table inheritance, where tables are represented as objects. As a result, operations are performed using object-oriented functions. Support The SQL standard is over 35 years old, and only the developers of PostgreSQL aim to bring their product into full compliance with the standard. The developers of MySQL use a different approach: if a certain feature simplifies working with the system, it will be implemented even if it does not fully conform to the standard. This makes MySQL more user-friendly compared to PostgreSQL. In terms of community support, the number of MySQL developers still exceeds those working with PostgreSQL, but you can receive qualified help in both communities. In addition, many free guides and even books have been written about PostgreSQL, containing answers to most questions. It is also worth noting that both platforms are free, but MySQL has several commercial editions, which can sometimes lead to additional expenses. Programming Languages Both systems support a wide range of programming languages. Among the popular ones are C++, Java, Python, lua, and PHP. Therefore, a company’s development team will not face difficulties implementing features in either system. Operating Systems MySQL is a more universal system that runs on Windows, Linux, macOS, and several other operating systems. PostgreSQL was originally designed for Linux, but with the REST API interface, it becomes an equally universal solution that operates on any OS. Data Processing PostgreSQL provides more capabilities for data processing. For example, a cursor is used for moving through table data, and responses are written to the memory of the database server rather than the client, as in MySQL. PostgreSQL also allows building indexes simultaneously for several columns. It supports different index types, allowing work with multiple data types. This database also supports regular expressions in queries. However, new fields in PostgreSQL can only be added at the end of a table. Parallel data processing is better organized in PostgreSQL because the platform has a built-in implementation of MVCC (multiversion concurrency control). MVCC can also be supported in MySQL, but only if InnoDB is used. Concerning replication, PostgreSQL supports logical, streaming, and bidirectional replication, while MySQL supports circular replication as well as master-master and master-standby. Replication refers to copying data between databases located on different servers. PostgreSQL and MySQL: Performance Comparison Testing is fair only when comparing two clean, “out-of-the-box” systems. Indexed testing provides the following results: Insertion: PostgreSQL is more than 2.7× faster, processing a 400,000-record database in 5.5 seconds versus 15 seconds for MySQL. Inner join: PostgreSQL processes 400,000 records in 1.1 seconds, MySQL in 2.8 seconds: a gain of more than 2.5×. Indexed sorting: PostgreSQL processes the same number of records in 0.9 seconds, MySQL in 1.5 seconds. Grouping: For the same 400,000-record database, PostgreSQL achieves 0.35 seconds, MySQL 0.52 seconds. Indexed selection: PostgreSQL is 2× faster: 0.6 seconds vs. 1.2 seconds. When it comes to updating data, PostgreSQL’s update time increases gradually as the number of records grows, while MySQL processes them in roughly the same time, starting from 100,000 records. This is due to different data-storage implementations. Nevertheless, PostgreSQL holds a significant advantage over MySQL even with large data volumes: 3.5 seconds versus 9.5 seconds for 400,000 records—more than 2.7× faster. Without indexes, PostgreSQL also shows surprisingly high performance, processing a 400,000-record database in 1.3, 0.7, and 2.2 seconds for inner join, selection, and update operations, respectively. Thus, PostgreSQL delivers an average performance advantage of about 2× (2.06). Although MySQL was originally positioned as a high-performance platform, constant optimization by the PostgreSQL development team has resulted in greater efficiency. Advantages for Developers Here we consider only the unique features characteristic of each platform. Therefore, we will not discuss support for MVCC or ACID, as these features are present in both systems. From a developer’s perspective, MySQL is advantageous because it: Provides increased flexibility and is easily scalable, with more than ten storage engines based on different data-storage algorithms. Handles small read-oriented databases more efficiently (i.e., without frequent writes). Is easier to manage and maintain, because it requires less configuration and fewer preparatory steps before starting work. From a developer’s perspective, PostgreSQL is advantageous because it: Offers an object-oriented approach to data, enabling inheritance and allowing the creation of more complex table structures that do not fit the traditional relational model. Handles write-oriented databases better, including validation of written data. Supports object-oriented programming features, enabling work with NoSQL-style data, including XML and JSON formats. Can support databases without limitations on data volume. Some companies use PostgreSQL to run databases as large as several petabytes. PostgreSQL and MySQL Comparison For clarity, the main features of both systems can be presented in a table:   PostgreSQL MySQL Supported OS Solaris, Windows, Linux, OS X, Unix, HP-UX Solaris, Windows, Linux, OS X, FreeBSD Use cases Large databases with complex queries (e.g., Big Data) Lighter databases (e.g., websites and applications) Data types Supports advanced data types, including arrays and hstore Supports standard SQL data types Table inheritance Yes No Triggers Supports triggers for a wide range of commands Limited trigger support Storage engines Single (Storage Engine) Multiple As we can see, several features are implemented only in PostgreSQL. Both systems support ODBC, JDBC, CTE (common table expressions), declarative partitioning, GIS, SRS, window functions, and many other features. Conclusion Each system has its strengths. MySQL handles horizontal scaling well and is easier to configure and manage. However, if you expect database expansion or plan to work with different data types, it is better to consider implementing PostgreSQL in advance. Moreover, PostgreSQL is a fully free solution, so companies with limited budgets can use it without fear of unnecessary costs.
24 November 2025 · 6 min to read

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