# clickworker vs Polygres

clickworker records 1,861,149 monthly visits with +0.5% month-over-month growth and Contact for Pricing pricing. Polygres records 4,018 monthly visits with -52.3% growth and Freemium pricing.

| Metric | [clickworker](https://openaitools.app/tool/clickworker-com) | [Polygres](https://openaitools.app/tool/polygres) |
| :--- | :--- | :--- |
| Website URL | https://clickworker.com | https://polygres.com |
| Categories | AI Developer Tools, Large Language Models (LLMs), AI Face Recognition, AI Transcription | AI Developer Tools, AI Agent, AI Knowledge Graph, AI API |
| Pricing Model | Contact for Pricing | Freemium |
| Monthly Visits | 1,861,149 | 4,018 |
| MoM Growth Rate | +0.5% | -52.3% |
| Primary Market | United States | Global |
| Direct Visits | 947,133 | 1,605 |
| Review Score | 3.9 | 4.1 |
| Saved Count | 3 | 0 |
| Supported Platforms | Website | Website |

## clickworker

clickworker is a data-services company that turns business data projects into structured microtasks carried out by a global crowd. Companies define a task — collecting shelf photos, labeling images, verifying addresses, running surveys, testing an app — and clickworker recruits, briefs and quality-checks the workers who complete it. The crowd numbers more than 10 million registered freelancers across 136 countries.

The core offering is AI training data: image, video, audio and text datasets with human-powered labeling, annotation and validation, delivered in cooperation with parent company LXT. Around that sit adjacent services such as surveys with a verified respondent pool, store checks and display audits at the point of sale, tagging and sentiment analysis, crowdtesting for websites and apps, list building, and SEO copywriting.

Engagements can be self-service, fully managed or delivered through an API and iframe integration. clickworker emphasizes its 20+ years of microtask experience, ISO 27001 certification and GDPR compliance, and works with clients such as OTTO, Bosch and Tennis-Point on large-scale data collection and evaluation projects.

**Pricing & Plans:** clickworker quotes project prices rather than publishing list rates; cost depends on task type, volume, target geography and quality requirements. A self-service option and a managed service are both available, and Clickworkers are paid per completed task.

- **AI training data at scale:** Custom image, video, audio and text datasets with human labeling, annotation and validation, delivered with parent company LXT.
- **Global crowd of 10M+ Clickworkers:** Registered freelancers in 136 countries fill microtasks through web, Android and iOS apps, with flexible scaling up or down.
- **Survey and market research services:** An all-in-one survey tool plus access to a verified respondent pool for external studies and targeted insights.
- **Store checks and crowdtesting:** Real-time point-of-sale data collection, display audits, mystery checks, and usability testing for websites, apps and games.
- **Managed, self-service and API delivery:** Choose a fully managed project, run tasks yourself, or integrate crowd workflows through API and iframe form options.

**Strengths:** Enormous, geographically diverse crowd that can scale projects up or down quickly; Covers the full data pipeline from collection through annotation and validation; ISO 27001 certified and GDPR compliant with documented quality assurance; Multiple engagement models: managed, self-service, API and iframe

**Limitations:** Pricing is quote-based, so smaller projects may struggle to get transparent costs; Quality depends on task design and briefing, which the client must invest effort in; Not a plug-and-play AI API — it is a services business requiring project scoping

[Profile (Markdown)](https://openaitools.app/tool/clickworker-com.md)

## Polygres

Polygres is a retrieval platform that treats PostgreSQL as the backbone for AI-native applications. Rather than forcing teams to migrate to a new vector-only database, it virtualises a GraphRAG-style retrieval layer on top of Postgres, so existing relational records, embeddings and text indexes stay where they are while agents gain the ability to search by meaning, follow relationships and match exact wording in one request.

The platform bundles four complementary retrieval modes: semantic vector search for meaning, graph traversal for multi-hop relationships and shortest-path style queries, full-text search for exact terms, and hybrid search that blends them. Developers reach these capabilities through a hosted playground, a CLI for managing projects and imports, and a typed Python SDK for production applications.

Behind the managed platform are two open-source engines, pgGraph for graph traversal inside Postgres and pgContext for AI search, which teams can inspect, benchmark and self-host. Polygres supports both a managed database hosted by the company and connecting an existing Postgres instance, and it markets itself around agent memory, grounded answers with sources, product semantic search and recommendation systems.

**Pricing & Plans:** Polygres follows a freemium model with a free tier for getting started and paid managed plans for production workloads. Exact tiers are published on the company's pricing page, so check there for current numbers before budgeting.

- **Unified retrieval API:** Query graph, vector, full-text and hybrid retrieval through one consistent interface instead of stitching multiple systems together.
- **Graph traversal on Postgres:** The open-source pgGraph engine follows relationships across your records, enabling multi-hop and shortest-path retrieval without moving data.
- **Vector and hybrid search:** Semantic search over embeddings combines with sparse and full-text matching so queries that mix meaning and exact terms still work.
- **Developer toolkit:** A dashboard playground, CLI for imports and configuration, and a typed Python SDK make it straightforward to prototype and then ship.
- **Managed or bring-your-own Postgres:** Start on a Polygres-hosted database or connect an existing Postgres instance and extend what you already run.

**Strengths:** Keeps your existing PostgreSQL instead of forcing a migration to a specialised vector store; Combines four retrieval modes in one platform, which reduces the number of moving parts in a RAG stack; Core engines pgGraph and pgContext are open source, so the internals are inspectable and self-hostable; Familiar Postgres tooling, SQL knowledge and connection patterns carry over for most teams

**Limitations:** Team and community are relatively early-stage, so long-term support and ecosystem maturity are still developing; Being a newer product, third-party tutorials and integrations are thinner than for established vector databases; Fully managed convenience depends on using the hosted offering rather than the open-source engines alone

[Profile (Markdown)](https://openaitools.app/tool/polygres.md)

## Frequently Asked Questions

### How do clickworker and Polygres compare in monthly traffic?

clickworker has 1,861,149 monthly visits, while Polygres has 4,018. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

clickworker has a month-over-month growth rate of +0.5%; Polygres has -52.3%.

### How does pricing compare?

clickworker: Contact for Pricing. clickworker quotes project prices rather than publishing list rates; cost depends on task type, volume, target geography and quality requirements. A self-service option and a managed service are both available, and Clickworkers are paid per completed task. Polygres: Freemium. Polygres follows a freemium model with a free tier for getting started and paid managed plans for production workloads. Exact tiers are published on the company's pricing page, so check there for current numbers before budgeting.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Prolific](https://openaitools.app/tool/prolific-com) | 18,697,671 | -1.8% | Paid | Offers a high-quality pool of verified human participants for research and preference tuning, but is less focused on traditional data annotation. | [.md](https://openaitools.app/tool/prolific-com.md) |
| 2 | [Outlier AI](https://openaitools.app/tool/outlier-ai) | 10,372,036 | +7.6% | Paid | Connects subject matter experts for advanced LLM training and prompting, but lacks general microtask crowdsourcing capabilities. | [.md](https://openaitools.app/tool/outlier-ai.md) |
| 3 | [OpenTrain AI](https://openaitools.app/tool/opentrain-ai) | 1,469,348 | +11.2% | Contact for Pricing | Specializes in matching AI labs with vetted human experts for RLHF, but offers fewer general data annotation services. | [.md](https://openaitools.app/tool/opentrain-ai.md) |
| 4 | [Exa](https://openaitools.app/tool/exa-ai) | 1,062,574 | +16.8% | Freemium, Contact for Pricing | Web search API and crawler built for AI agents | [.md](https://openaitools.app/tool/exa-ai.md) |
| 5 | [You.com](https://openaitools.app/tool/you) | 948,349 | +7% | Freemium | Search and inference APIs that give AI models real-time web data | [.md](https://openaitools.app/tool/you.md) |
| 6 | [Algolia](https://openaitools.app/tool/algolia) | 689,970 | -11% | Freemium, Contact for Pricing | AI search and retrieval platform for modern apps and commerce | [.md](https://openaitools.app/tool/algolia.md) |
| 7 | [Appen](https://openaitools.app/tool/appen-com) | 665,840 | +0.2% | Contact for Pricing | Provides enterprise-grade data annotation and training datasets at scale, but with a more corporate engagement model. | [.md](https://openaitools.app/tool/appen-com.md) |
| 8 | [Pinecone](https://openaitools.app/tool/pinecone) | 286,732 | -31% | Freemium, Paid, Contact for Pricing | The managed vector database and knowledge engine for production AI | [.md](https://openaitools.app/tool/pinecone.md) |
| 9 | [Surge AI](https://openaitools.app/tool/surgehq-ai) | 245,142 | +6.6% | Contact for Pricing | Focuses on elite domain experts for complex RLHF and frontier AI evaluation, but lacks casual crowdsourcing tasks. | [.md](https://openaitools.app/tool/surgehq-ai.md) |
| 10 | [supermemory](https://openaitools.app/tool/supermemory-1) | 156,579 | -7.7% | Contact for Pricing | A memory and continual-learning engine that gives any AI agent persistent context | [.md](https://openaitools.app/tool/supermemory-1.md) |

---
Source: https://openaitools.app/compare/clickworker-com-vs-polygres

More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)