# Appen vs Postgres Sandbox Appen records 665,840 monthly visits with +0.2% month-over-month growth and Contact for Pricing pricing. Postgres Sandbox records 445 monthly visits with -17.3% growth and Free pricing. | Metric | [Appen](https://openaitools.app/tool/appen-com) | [Postgres Sandbox](https://openaitools.app/tool/postgres-sandbox) | | :--- | :--- | :--- | | Website URL | https://appen.com | https://postgres.new | | Categories | AI Models, Large Language Models (LLMs), AI Developer Tools | AI Developer Tools, AI Assistant, AI Code Assistant | | Pricing Model | Contact for Pricing | Free | | Monthly Visits | 665,840 | 445 | | MoM Growth Rate | +0.2% | -17.3% | | Primary Market | United States | Argentina | | Direct Visits | 238,314 | 183 | | Review Score | 4.4 | 4.5 | | Saved Count | 2 | 0 | | Supported Platforms | Website | Website | ## Appen Appen is one of the oldest pure-play AI data companies, tracing its roots to 1996 when it began building human-labeled datasets for speech recognition and NLP. Over three decades it supported successive generations of model development — search relevance in the 2000s, machine translation, deep-learning vision annotation, Transformer-era semantics, GPT-3 scale corpora, RLHF for conversational AI, and now agentic and multimodal foundation models. Today Appen positions itself around six specialised capability areas: Frontier Alignment (chain-of-thought reasoning traces, SME RLHF, supervised fine-tuning demonstrations, adversarial red teaming), Agentic AI (golden trajectories, RL environment design, failure-mode taxonomies, SWE-driven evaluation), Multimodal and Speech AI (multilingual ASR and conversational corpora, expressive TTS annotation, VLM training data, video action labelling), Physical AI (LiDAR point-cloud annotation, multi-camera sensor fusion, robotics demonstration trajectories, world-model rollouts), Model Integrity (hallucination benchmarking, bias detection, regulatory audits and continuous monitoring), and Research Services (context engineering, calibrated LLM-as-a-judge, synthetic data and custom benchmarking). Delivery runs through Appen's AI Data Platform (ADAP), which blends automation with human oversight, and the company cites SOC 2 and ISO 27001 certification, 500+ global locales, and a client roster that includes major cloud, search, retail and aerospace organisations. Appen does not publish self-serve pricing; engagements start with a scoping conversation and are quoted per project, so cost depends on data volume, language coverage, modality and annotation complexity. **Pricing & Plans:** Enterprise/contact-for-pricing. Appen does not publish self-serve plans; projects are scoped and quoted individually. Appen also sells off-the-shelf (OTS) datasets and crowd/contractor workforce programs with separate terms. - **Frontier alignment data:** Chain-of-thought reasoning traces, SME-level RLHF, supervised fine-tuning demonstrations and adversarial red teaming for the most capable models. - **Agentic AI datasets:** Golden trajectories, RL environment design, failure-mode taxonomies and software-engineering-driven deep evaluation for autonomous agents. - **Multimodal and speech corpora:** Multilingual ASR and conversational speech data, expressive TTS annotation, vision-language model training data, video action labelling and voice-agent evaluation. - **Physical AI annotation:** LiDAR point-cloud labeling, multi-camera sensor fusion, robot demonstration trajectories, world-model rollouts and embodied interaction logs. - **Model integrity and evaluation:** Hallucination benchmarking, bias detection, regulatory audits and continuous monitoring, plus independent model evaluation. - **AI Data Platform (ADAP):** A production platform that combines automation with human oversight, with SOC 2 and ISO 27001 certification and 500+ locales covered. **Strengths:** Three decades of annotation methodology, tooling and workforce management experience; Very broad coverage: frontier alignment, agentic, speech, multimodal, physical AI and evaluation in one vendor; 500+ locales and multilingual expertise that most in-house teams cannot match; Enterprise-grade security posture (SOC 2, ISO 27001) and publicly listed governance **Limitations:** No transparent self-serve pricing; every engagement requires a sales/scoping cycle; Enterprise-oriented contracts can be heavy for small teams or indie developers; Quality depends on workforce management, so results vary by project and locale; Overlaps with many cheaper specialist annotation vendors, making vendor selection non-trivial [Profile (Markdown)](https://openaitools.app/tool/appen-com.md) ## Postgres Sandbox Postgres Sandbox, available at postgres.new, takes an idea that sounds unlikely and makes it work: a real PostgreSQL database running entirely inside your browser. It is built on PGlite, a full build of PostgreSQL compiled to WebAssembly, so there is nothing to install and no server to configure. The moment you start writing SQL, a new database is created for you automatically. Around that core it adds a set of tools for getting things done quickly. An AI assistant helps turn natural-language requests into SQL and to reason about queries, which is valuable when you are sketching a schema or exploring unfamiliar data. You can import CSV files and query them immediately, generate charts from results, and draw ER diagrams to see how tables relate. Because the engine is genuine Postgres, the SQL semantics match what you would get on a real server, which makes the sandbox a natural place to prototype schemas, test a tricky query, teach SQL, or experiment with semantic search and RAG-style retrieval. It is best understood as a fast, disposable workspace rather than persistent production infrastructure — data lives in the browser rather than on a managed database. **Pricing & Plans:** Free. Postgres Sandbox runs in the browser at no cost — there is no install, no account requirement mentioned and no paid tier advertised. Just open the page and a PostgreSQL database is created as you start writing SQL. - **Instant in-browser Postgres:** A new PostgreSQL database is created automatically in your browser via PGlite — no server, no installation, no configuration. - **AI SQL generation:** An AI assistant helps generate and reason about SQL from natural-language prompts, lowering the barrier for schema and query work. - **CSV import:** Load CSV data and start querying it directly, which makes the sandbox handy for quick analysis and data exploration. - **Charts and ER diagrams:** Turn query results into charts and draw ER diagrams to visualise table relationships within the same workspace. - **Semantic search and RAG:** Explore RAG and semantic-search style workflows against your data, using the sandbox to prototype AI data features. - **Real Postgres semantics:** Because it is real PostgreSQL, SQL you write here behaves like SQL you write on a server, so results transfer. **Strengths:** Runs real PostgreSQL with no install or server setup; AI assistance lowers the learning curve for SQL; CSV import, charts, ER diagrams and semantic search in one place; Genuinely free and instant to try in the browser **Limitations:** Data lives in the browser session, so it is not a persistent production database; Persistent storage depends on browser/IndexedDB and can be cleared; Not a substitute for a managed Postgres server for real applications; AI-generated SQL should still be reviewed before running [Profile (Markdown)](https://openaitools.app/tool/postgres-sandbox.md) ## Frequently Asked Questions ### How do Appen and Postgres Sandbox compare in monthly traffic? Appen has 665,840 monthly visits, while Postgres Sandbox has 445. Traffic estimates describe audience size, not product quality. ### How do their growth rates compare? Appen has a month-over-month growth rate of +0.2%; Postgres Sandbox has -17.3%. ### How does pricing compare? Appen: Contact for Pricing. Enterprise/contact-for-pricing. Appen does not publish self-serve plans; projects are scoped and quoted individually. Appen also sells off-the-shelf (OTS) datasets and crowd/contractor workforce programs with separate terms. Postgres Sandbox: Free. Free. Postgres Sandbox runs in the browser at no cost — there is no install, no account requirement mentioned and no paid tier advertised. Just open the page and a PostgreSQL database is created as you start writing SQL. ## Alternatives | # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) | | :--- | :--- | :--- | :--- | :--- | :--- | :--- | | 1 | [Cursor](https://openaitools.app/tool/cursor) | 23,297,751 | +8.4% | Freemium | The AI coding agent for building ambitious software | [.md](https://openaitools.app/tool/cursor.md) | | 2 | [Prolific](https://openaitools.app/tool/prolific-com) | 18,697,671 | -1.8% | Paid | Connects teams directly with verified human participants for preference tuning and studies, but lacks managed end-to-end labeling pipelines. | [.md](https://openaitools.app/tool/prolific-com.md) | | 3 | [Invisible Technologies](https://openaitools.app/tool/invisible-technologies-inc) | 1,364,520 | +64.4% | Contact for Pricing | Blends custom software with dedicated human expert teams to handle complex operations, but operates as a bespoke service. | [.md](https://openaitools.app/tool/invisible-technologies-inc.md) | | 4 | [Labelbox](https://openaitools.app/tool/labelbox) | 762,803 | -22.8% | Contact for Pricing | Combines robust data labeling tools with automated workflows, but focuses more on software tooling than managed human workforces. | [.md](https://openaitools.app/tool/labelbox.md) | | 5 | [Scale](https://openaitools.app/tool/scale) | 616,915 | +12.5% | Contact for Pricing | Provides enterprise-grade AI training data and model evaluation at massive scale, but often with higher enterprise pricing. | [.md](https://openaitools.app/tool/scale.md) | | 6 | [Convex](https://openaitools.app/tool/convex) | 390,417 | -18.7% | Freemium, Paid | Reactive TypeScript backend with database, functions and AI gateway | [.md](https://openaitools.app/tool/convex.md) | | 7 | [SuperAnnotate](https://openaitools.app/tool/super-annotate) | 386,034 | +37.4% | Free Trial, Contact for Pricing | Delivers advanced multimodal data curation and annotation infrastructure, but requires your own annotation workforce for labeling tasks. | [.md](https://openaitools.app/tool/super-annotate.md) | | 8 | [Arize AI](https://openaitools.app/tool/arize-com) | 249,028 | +3.2% | Paid, Contact for Pricing | Agent observability, evaluation, and continuous improvement for production AI | [.md](https://openaitools.app/tool/arize-com.md) | | 9 | [Encord](https://openaitools.app/tool/encord-com) | 244,204 | +9.4% | Contact for Pricing | The multimodal data layer for computer vision and physical AI teams | [.md](https://openaitools.app/tool/encord-com.md) | | 10 | [Defined.ai](https://openaitools.app/tool/definedcrowd-com) | 146,251 | -21% | Contact for Pricing | Offers pre-packaged AI training datasets and custom data collection services, but with a smaller global crowd than Appen. | [.md](https://openaitools.app/tool/definedcrowd-com.md) | --- Source: https://openaitools.app/compare/appen-com-vs-postgres-sandbox More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)