# Polygres vs Tako

Polygres records 4,018 monthly visits with -52.3% month-over-month growth and Freemium pricing. Tako records 0 monthly visits with 0% growth and Contact for Pricing pricing.

| Metric | [Polygres](https://openaitools.app/tool/polygres) | [Tako](https://openaitools.app/tool/tako-ai) |
| :--- | :--- | :--- |
| Website URL | https://polygres.com | https://trytako.com |
| Categories | AI Developer Tools, AI Agent, AI Knowledge Graph, AI API | AI Knowledge Graph, AI API, AI Search Engine, AI Agent |
| Pricing Model | Freemium | Contact for Pricing |
| Monthly Visits | 4,018 | 0 |
| MoM Growth Rate | -52.3% | 0% |
| Primary Market | Global | Global |
| Direct Visits | 1,605 | 0 |
| Review Score | 4.1 | 4.3 |
| Saved Count | 0 | 0 |
| Supported Platforms | Website | Website |

## 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)

## Tako

Tako positions itself as the grounding layer for agentic applications. It combines a curated index of premium data — company financials, macroeconomic indicators, market prices, sports, weather and government spending — with ordinary web search, so a single query can return both narrative sources and the raw figures behind them. Results arrive as JSON for programmatic use and as knowledge cards such as charts, bar graphs, tables and maps that can be dropped directly into an interface.

The platform is organised around four APIs. The Search API delivers real-time results grounded in Tako's curated index and the open web; the Answer API produces direct, cited answers to natural-language questions; the Contents API returns the full page text and the rows behind a data series; and the Agent API runs asynchronous deep-research and enrichment jobs. A free MCP server and plugins let tools such as Claude Code, ChatGPT, Cursor and other MCP-enabled agents connect in minutes without an API key.

Tako targets developers building research assistants, analytics copilots and data-heavy chatbots. The company emphasises enterprise readiness with zero data retention, SOC 2 verification and SLAs, and publishes benchmarks claiming competitive accuracy on reasoning-heavy and numeric questions alongside low latency. A free tier lets developers start building before committing to a paid plan.

**Pricing & Plans:** Free tier available to start building, with paid plans and enterprise agreements via sales contact; check tako.com/pricing for current usage-based rates.

- **Four-purpose API family:** Search, Answer, Contents and Agent APIs cover grounding, Q&A, raw content retrieval and asynchronous deep research within one account.
- **Structured data, not just links:** Returns statistics and time series as charts, tables and maps, with a source and date attached to every figure so agents can quote and compute reliably.
- **Knowledge card visualisation:** Interactive cards turn search results into chart, table and map artifacts that can be embedded straight into chat or dashboard interfaces.
- **Drop-in MCP server:** A free MCP server and plugins connect Claude Code, ChatGPT and Cursor-style agents to live cited data in seconds, with no API key required to start.
- **Enterprise-grade controls:** Zero data retention, SOC 2 verification and uptime SLAs support sensitive and mission-critical deployments.

**Strengths:** Combines web search with licensed structured data in one API call; Every figure carries a source and date, which improves citation quality; Free MCP server and plugins make evaluation fast; Clear enterprise posture with SOC 2, zero retention and SLAs

**Limitations:** Full pricing requires contacting sales rather than a simple public rate card; Premium data coverage clusters around finance, macro, sports and weather topics; Structured-data depth is best for supported verticals rather than arbitrary niches

[Profile (Markdown)](https://openaitools.app/tool/tako-ai.md)

## Frequently Asked Questions

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

Polygres has 4,018 monthly visits, while Tako has 0. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Polygres has a month-over-month growth rate of -52.3%; Tako has 0%.

### How does pricing compare?

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. Tako: Contact for Pricing. Free tier available to start building, with paid plans and enterprise agreements via sales contact; check tako.com/pricing for current usage-based rates.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [TinyFish](https://openaitools.app/tool/tinyfish) | 1,124,952 | +199.7% | Freemium, Contact for Pricing | One API key for agent-grade web search, fetch, browsing and automation | [.md](https://openaitools.app/tool/tinyfish.md) |
| 2 | [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) |
| 3 | [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) |
| 4 | [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) |
| 5 | [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) |
| 6 | [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) |
| 7 | [Yep.com](https://openaitools.app/tool/yep-com) | 155,834 | +6.2% | Free | Independent web search and agent grounding API built on the Ahrefs index | [.md](https://openaitools.app/tool/yep-com.md) |
| 8 | [Zilliz](https://openaitools.app/tool/zilliz) | 108,886 | -16.4% | Freemium, Paid, Free, Contact for Pricing | Fully managed Vector Lakebase and vector database for enterprise AI, built by the creators of Milvus | [.md](https://openaitools.app/tool/zilliz.md) |
| 9 | [Anakin](https://openaitools.app/tool/anakin) | 76,886 | -31.6% | Freemium | One scraping API that turns any website into agent-ready JSON | [.md](https://openaitools.app/tool/anakin.md) |
| 10 | [Qdrant](https://openaitools.app/tool/qdrant-io) | 72,992 | -38.4% | Freemium, Contact for Pricing | Open-source, high-performance vector search at any scale | [.md](https://openaitools.app/tool/qdrant-io.md) |

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Source: https://openaitools.app/compare/polygres-vs-tako-ai

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