AWS Cloud9 vs. Duckly vs. Visual Studio Code Live Share Comparison Chart

Apify is a full-stack web scraping and automation platform helping anyone get value from the web. At its core is Apify Store, a marketplace with over 10,000 Actors where developers build, publish, and monetize automation tools. Actors are serverless cloud programs that extract data, automate web tasks, and run AI agents. Developers build them using JavaScript, Python, or Crawlee, Apify's open-source library. Build once, publish to Store, and earn when others use it. Thousands of developers do this - Apify handles infrastructure, billing, and monthly payouts. Apify Store has ready-made Actors for scraping Amazon, Google Maps, social media, tracking prices, lead-gen, and more. Actors handle proxies, CAPTCHAs, JavaScript rendering, headless browsers, and scaling. Everything runs on Apify's cloud with 99.95% uptime. SOC2, GDPR, and CCPA compliant. Integrate with Zapier, Make, n8n, and LangChain. Apify's MCP server lets AI like Claude dynamically discover and use Actors

DbVisualizer is a universal database client for anyone who works with data, from solo developers and startups to professional teams managing complex environments, including developers, DBAs, analysts, and data engineers working with relational and NoSQL databases. It offers a graphical interface for database development, SQL querying, and data exploration. Key features: - SQL editor with autocomplete, visual query builders, variables, and execution tools - AI Assistant for questions, error explanations, and code analysis - Built-in Git integration for SQL scripts and collaboration - Customizable layouts, key bindings, and UI themes - Favorite scripts and database objects for quick access - Configurable security settings for organizations Connects to popular databases via JDBC, including MySQL, PostgreSQL, SQL Server, Oracle, Snowflake, SQLite, Cassandra, and BigQuery. Runs on Windows, macOS, and Linux. 7 million downloads, Pro users in 150 countries.

Cloud Run is a fully-managed compute platform that lets you run your code in a container directly on top of Google's scalable infrastructure. We’ve intentionally designed Cloud Run to make developers more productive - you get to focus on writing your code, using your favorite language, and Cloud Run takes care of operating your service. Fully managed compute platform for deploying and scaling containerized applications quickly and securely. Write code your way using your favorite languages (Go, Python, Java, Ruby, Node.js, and more). Abstract away all infrastructure management for a simple developer experience. Build applications in your favorite language, with your favorite dependencies and tools, and deploy them in seconds. Cloud Run abstracts away all infrastructure management by automatically scaling up and down from zero almost instantaneously—depending on traffic. Cloud Run only charges you for the exact resources you use. Cloud Run makes app development & deployment simpler.

Runpod offers a cloud-based platform designed for running AI workloads, focusing on providing scalable, on-demand GPU resources to accelerate machine learning (ML) model training and inference. With its diverse selection of powerful GPUs like the NVIDIA A100, RTX 3090, and H100, Runpod supports a wide range of AI applications, from deep learning to data processing. The platform is designed to minimize startup time, providing near-instant access to GPU pods, and ensures scalability with autoscaling capabilities for real-time AI model deployment. Runpod also offers serverless functionality, job queuing, and real-time analytics, making it an ideal solution for businesses needing flexible, cost-effective GPU resources without the hassle of managing infrastructure.

Retool is the AI-native enterprise app development platform where teams build and ship production-ready apps — at AI speed, with enterprise governance built in. Describe what you need and get a working app, import React-based apps from Lovable, Replit, or Claude Code, or connect your AI agent via MCP. However your team builds, every app lands in Retool with RBAC, SSO, audit logging, and your existing permissions already in place. Retool connects to databases, APIs, LLMs, and external tools out of the box. Teams can build AI agents, dashboards, workflows, and full-stack apps — with a visual editor for speed and direct code access for precision. Trusted by over 10,000 organizations including Amazon, Stripe, DoorDash, and OpenAI to get AI-built apps safely to production.

Altium Develop is a collaborative electronics product development platform that connects requirements management, PCB design, engineering collaboration, supply chain visibility, and manufacturing workflows in a single environment. Built on Altium Designer®, Altium 365®, and Requirements Portal, Altium Develop helps electronics teams manage the entire hardware development lifecycle—from requirements definition and design reviews to BOM management, sourcing, and production readiness. Designed for organizations developing complex electronic products, Altium Develop enables engineering, systems, manufacturing, and product teams to collaborate in real time while maintaining end-to-end visibility and traceability across projects. Key Capabilities: • Real-time collaboration for PCB and hardware development teams • ECAD-MCAD collaboration and design review workflows • Component, BOM, and supply chain management • Change management and project coordination • Centralized design data and product lifecycle visibility • Cloud-based collaboration for distributed engineering teams • Requirements management and traceability through Requirements Portal Ideal for: • Electronics manufacturers • PCB design teams • Systems engineering organizations • Product development teams • Enterprise hardware development programs Organizations evaluating alternatives to Autodesk Fusion Electronics, KiCad, Cadence OrCAD, Xpedition, Allegro X, and SOLIDWORKS PCB use Altium Develop to improve collaboration, reduce rework, accelerate product development, and strengthen requirements-driven hardware development processes.

Compute Engine is Google's infrastructure as a service (IaaS) platform for organizations to create and run cloud-based virtual machines. Computing infrastructure in predefined or custom machine sizes to accelerate your cloud transformation. General purpose (E2, N1, N2, N2D) machines provide a good balance of price and performance. Compute optimized (C2) machines offer high-end vCPU performance for compute-intensive workloads. Memory optimized (M2) machines offer the highest memory and are great for in-memory databases. Accelerator optimized (A2) machines are based on the A100 GPU, for very demanding applications. Integrate Compute with other Google Cloud services such as AI/ML and data analytics. Make reservations to help ensure your applications have the capacity they need as they scale. Save money just for running Compute with sustained-use discounts, and achieve greater savings when you use committed-use discounts.

Google Cloud is a cloud-based service that allows you to create anything from simple websites to complex applications for businesses of all sizes. New customers get $300 in free credits to run, test, and deploy workloads. All customers can use 25+ products for free, up to monthly usage limits. Use Google's core infrastructure, data analytics & machine learning. Secure and fully featured for all enterprises. Tap into big data to find answers faster and build better products. Grow from prototype to production to planet-scale, without having to think about capacity, reliability or performance. From virtual machines with proven price/performance advantages to a fully managed app development platform. Scalable, resilient, high performance object storage and databases for your applications. State-of-the-art software-defined networking products on Google’s private fiber network. Fully managed data warehousing, batch and stream processing, data exploration, Hadoop/Spark, and messaging.

IONOS Cloud Object Storage is a scalable storage service designed for storing and accessing large amounts of unstructured data in cloud environments. It is fully compatible with the S3 API standard, allowing developers and IT teams to manage buckets and objects using existing S3 clients and tools while integrating easily into cloud-native applications and infrastructures. It enables organizations to store virtually unlimited volumes of static or backup data without the need to provision or manage traditional storage volumes. It is built for reliability and high availability, using redundant storage across multiple nodes so data remains accessible and protected even if infrastructure failures occur. It is particularly well-suited for storing backups, archives, and disaster recovery snapshots, as well as handling large datasets used in analytics, machine learning, or digital content platforms.

BigQuery is a serverless, multicloud data warehouse that simplifies the process of working with all types of data so you can focus on getting valuable business insights quickly. At the core of Google’s data cloud, BigQuery allows you to simplify data integration, cost effectively and securely scale analytics, share rich data experiences with built-in business intelligence, and train and deploy ML models with a simple SQL interface, helping to make your organization’s operations more data-driven. Gemini in BigQuery offers AI-driven tools for assistance and collaboration, such as code suggestions, visual data preparation, and smart recommendations designed to boost efficiency and reduce costs. BigQuery delivers an integrated platform featuring SQL, a notebook, and a natural language-based canvas interface, catering to data professionals with varying coding expertise. This unified workspace streamlines the entire analytics process.