# Powabase vs TinyFish Powabase records 0 monthly visits with -100% month-over-month growth and Freemium pricing. TinyFish records 1,124,952 monthly visits with +199.7% growth and Freemium, Contact for Pricing pricing. | Metric | [Powabase](https://openaitools.app/tool/powabase) | [TinyFish](https://openaitools.app/tool/tinyfish) | | :--- | :--- | :--- | | Website URL | https://powabase.ai | https://www.tinyfish.ai | | Categories | AI Developer Tools, AI Agent, AI Knowledge Base, AI Workflow | AI API, AI Agent, AI Browsers, AI Web Scraping | | Pricing Model | Freemium | Freemium, Contact for Pricing | | Monthly Visits | 0 | 1,124,952 | | MoM Growth Rate | -100% | +199.7% | | Primary Market | Global | United States | | Direct Visits | 0 | 401,320 | | Review Score | 4.6 | 4.4 | | Saved Count | 0 | 0 | | Supported Platforms | Website | Website | ## Powabase Powabase starts from PostgreSQL and layers the pieces AI products need — retrieval, agents, and workflows — directly onto the database instead of forcing developers to glue together a vector store, an agent framework, and a BaaS. Every project receives its own isolated Postgres instance with row-level security, along with a first-class auth service, object storage, and realtime. Access happens through PostgREST, a REST/GraphQL-style API, or a direct database connection. The RAG layer is a core feature, not a bolt-on. When you upload PDFs, images, office documents, or URLs, Powabase extracts, chunks, embeds, and indexes the content automatically, then serves it through BM25, pgvector, hybrid search, multimodal indexing, and rerankers. On top of that sits an agent runtime: you define ReAct orchestrations that combine multiple LLMs, knowledge bases, and tools, and it executes them over HTTP or MCP with streaming responses, persistent sessions stored in your project's Postgres, and human approval for sensitive calls. A visual workflow builder lets you assemble multi-step flows by dragging blocks, then publish them as HTTP endpoints. Powabase also leans hard into AI-assisted development. It publishes an agent skill and an MCP server so coding tools such as Claude Code, Codex, Antigravity, OpenCode, Replit, Lovable, v0, Base44, and Bolt.new can speak the platform natively. Deployment is flexible: run it on Powabase Cloud, self-host the Apache-2.0 stack with a single docker compose up, or deploy on Kubernetes via the official Helm chart for enterprise use — always bringing your own LLM keys. **Pricing & Plans:** Powabase follows an open-core model. The full stack is free and open source under Apache-2.0, so you can self-host with Docker Compose at no license cost. A fully managed Powabase Cloud handles updates, backups, and scaling, and an Enterprise edition adds a supported Kubernetes deployment with SLAs and private hosting. Public fixed price points are not listed on the homepage; contact the team for cloud and enterprise quotes. - **Dedicated Postgres per project:** Every project runs its own isolated PostgreSQL instance with row-level security, plus managed auth, object storage, and realtime subscriptions — no shared logical databases and no noisy-neighbor risk. - **Built-in RAG pipeline:** Upload PDFs, images, office files, or URLs and Powabase extracts, chunks, embeds, and indexes them automatically. It supports BM25, pgvector, hybrid search, multimodal indexing, and rerankers. - **Agents with tools over HTTP or MCP:** Define ReAct-style agents with multiple LLMs, knowledge bases, and tools. Runs stream over SSE and sessions persist in your project's Postgres, with human approval gates for sensitive tool calls. - **Visual, callable workflows:** Drag and connect blocks — triggers, conditions, agents, HTTP calls, code — to assemble multi-step workflows, or ask a natural-language copilot to draft the flow. Deploy a workflow as an HTTP endpoint. - **Open source and self-hostable:** Clone the Apache-2.0 repo and run docker compose up for a single-project stack on your own infrastructure. A managed cloud and an enterprise Helm chart deployment are also available. **Strengths:** Postgres-native architecture with a dedicated, isolated database per project rather than shared logical databases.; RAG, agents, workflows, auth, and storage bundled behind one REST API, cutting down on glue code.; RAG pipeline is production-oriented, with hybrid search, rerankers, OCR, and multimodal indexing included.; Fully open source under Apache-2.0, so self-hosting avoids vendor lock-in. **Limitations:** The platform assumes you already know your way around Postgres; teams that just want a drag-and-drop database without SQL concepts may find the learning curve steeper than a fully no-code tool.; Self-hosting the full stack means running around a dozen Docker services on your own infrastructure, which carries real operational overhead.; You bring your own LLM API keys, so model spend and rate limits are managed outside Powabase.; The homepage does not publish fixed public prices, so budget planning for cloud or enterprise plans requires contacting sales. [Profile (Markdown)](https://openaitools.app/tool/powabase.md) ## TinyFish TinyFish describes itself as the web stack for AI agents: a serverless platform that lets agents search, extract, browse and act on the live web. Rather than a single point tool, it groups several products under one API key and one wallet — TinySearch for fresh, browser-rendered web search returned as structured JSON, TinyFetch for turning any URL into clean Markdown, JSON or HTML, TinyBrowser for real cloud browser sessions driven with Playwright, Puppeteer or CDP, TinyAgent for plain-English multi-step automation, and TinyMonitor for alerts when a page or topic changes. The platform is aimed at production workloads rather than demos. It emphasises reliability and structure, real browser rendering instead of thin cached results, persistent session state, and the ability to handle authenticated flows. Supporting pieces include TinyVault for connecting 1Password or Bitwarden so credentials stay hidden from the model, TinyProfiles for saving signed-in sessions, and step-by-step run recordings so you can audit exactly what an agent did on a site. TinyFish is designed to slot into existing developer stacks. It is promoted for use alongside Claude, ChatGPT, Cursor and other agent runtimes, offers an MCP connection, Python SDK and CLI, and is positioned for workloads such as price monitoring, record enrichment, deep research and supplier-portal automation. Entry-level search and fetch calls are free, while agent steps, browser minutes and monitoring checks are metered on a pay-as-you-go wallet basis, with an enterprise track for larger deployments. **Pricing & Plans:** Freemium and usage-based. Search and basic fetch are free with no search fee, while TinyAgent is billed per step, TinyBrowser per minute and TinyMonitor per check from a prepaid wallet; new users can claim a small free credit. Enterprise plans are custom — confirm current rates on the pricing page. - **TinySearch:** Real browser-rendered search that returns structured JSON with fresh, uncached results from the live web, with no search fee. - **TinyFetch:** Convert any URL into token-efficient Markdown, JSON or HTML, stripping navigation bars, cookie banners and ads before they reach your model. - **TinyBrowser:** Full cloud browser sessions with persistent state that you drive with Playwright, Puppeteer or the Chrome DevTools Protocol. - **TinyAgent and TinyMonitor:** Give an agent a goal in plain English and it navigates, fills forms and returns structured results; monitoring fires alerts when a tracked page or topic changes. - **One API key, one wallet:** Search, fetch, browser and agent products share single authentication and billing, plus an MCP connection, Python SDK and CLI. **Strengths:** Consolidates search, fetch, browsing, agent automation and monitoring behind one API key and wallet; Browser-rendered, uncached results rather than thin cached snippets; Free search and fetch tiers lower the cost per task compared to several paid search APIs; Strong developer ergonomics: MCP, Python SDK, CLI and integrations with popular agent runtimes **Limitations:** Agent steps, browser minutes and monitoring checks are metered, so heavy automation volumes add up; More complex auth flows still carry the usual fragility of driving third-party sites; It is infrastructure for builders — not aimed at non-technical end users [Profile (Markdown)](https://openaitools.app/tool/tinyfish.md) ## Frequently Asked Questions ### How do Powabase and TinyFish compare in monthly traffic? Powabase has 0 monthly visits, while TinyFish has 1,124,952. Traffic estimates describe audience size, not product quality. ### How do their growth rates compare? Powabase has a month-over-month growth rate of -100%; TinyFish has +199.7%. ### How does pricing compare? Powabase: Freemium. Powabase follows an open-core model. The full stack is free and open source under Apache-2.0, so you can self-host with Docker Compose at no license cost. A fully managed Powabase Cloud handles updates, backups, and scaling, and an Enterprise edition adds a supported Kubernetes deployment with SLAs and private hosting. Public fixed price points are not listed on the homepage; contact the team for cloud and enterprise quotes. TinyFish: Freemium, Contact for Pricing. Freemium and usage-based. Search and basic fetch are free with no search fee, while TinyAgent is billed per step, TinyBrowser per minute and TinyMonitor per check from a prepaid wallet; new users can claim a small free credit. Enterprise plans are custom — confirm current rates on the pricing page. ## Alternatives | # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) | | :--- | :--- | :--- | :--- | :--- | :--- | :--- | | 1 | [Apify](https://openaitools.app/tool/apify) | 4,147,762 | +3.9% | Freemium, Contact for Pricing | Features a massive marketplace of ready-to-run scrapers, though it operates more as an actor platform than a raw API. | [.md](https://openaitools.app/tool/apify.md) | | 2 | [Firecrawl](https://openaitools.app/tool/firecrawl-dev) | 1,828,239 | -1.9% | Freemium, Contact for Pricing | Provides cleaner LLM-ready markdown conversion and crawling, but lacks TinyFish's interactive cloud browser automation capabilities. | [.md](https://openaitools.app/tool/firecrawl-dev.md) | | 3 | [Exa](https://openaitools.app/tool/exa-ai) | 1,062,574 | +16.8% | Freemium, Contact for Pricing | Offers superior neural web search designed for AI agents, but provides less comprehensive raw browser automation tools. | [.md](https://openaitools.app/tool/exa-ai.md) | | 4 | [Bright Data](https://openaitools.app/tool/bright-data) | 802,752 | -5.9% | Free Trial, Paid | Delivers enterprise-grade proxy networks and scraping infrastructure, but involves a steeper learning curve than TinyFish. | [.md](https://openaitools.app/tool/bright-data.md) | | 5 | [Mastra](https://openaitools.app/tool/mastra) | 318,954 | -5% | Freemium, Contact for Pricing | The TypeScript framework for building, deploying, and observing AI agents | [.md](https://openaitools.app/tool/mastra.md) | | 6 | [Browserbase](https://openaitools.app/tool/browserbase) | 283,597 | -8% | Freemium | Cloud browsers and web APIs for AI agents | [.md](https://openaitools.app/tool/browserbase.md) | | 7 | [Jina AI](https://openaitools.app/tool/jina-ai) | 280,782 | -16.5% | Freemium, Paid | Excels at converting URLs into clean markdown and embeddings, but lacks dedicated browser actuation and live search endpoints. | [.md](https://openaitools.app/tool/jina-ai.md) | | 8 | [Browserless](https://openaitools.app/tool/browserless) | 185,543 | -21.2% | Freemium, Paid, Contact for Pricing | Gives you robust headless browser automation and control, but requires more custom development than managed agent APIs. | [.md](https://openaitools.app/tool/browserless.md) | | 9 | [Agent 37](https://openaitools.app/tool/agent-37) | 180,030 | +24.2% | Free Trial, Contact for Pricing | The low-cost cloud sandbox where AI agents actually live | [.md](https://openaitools.app/tool/agent-37.md) | | 10 | [Yep.com](https://openaitools.app/tool/yep-com) | 155,834 | +6.2% | Free | Provides independent web search and agent grounding, but lacks content fetching and browser automation features. | [.md](https://openaitools.app/tool/yep-com.md) | --- Source: https://openaitools.app/compare/powabase-vs-tinyfish More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)