# Ask On Data vs DeepSeek

Ask On Data records 0 monthly visits with -100% month-over-month growth and Freemium pricing. DeepSeek records 372,761,591 monthly visits with +4.3% growth and Freemium pricing.

| Metric | [Ask On Data](https://openaitools.app/tool/ask-on-data) | [DeepSeek](https://openaitools.app/tool/deepseek) |
| :--- | :--- | :--- |
| Website URL | https://askondata.com | https://www.deepseek.com |
| Categories | AI Agent, AI Chatbot, Large Language Models (LLMs), Open Source AI Models | Large Language Models (LLMs), Open Source AI Models, AI API, AI Chatbot |
| Pricing Model | Freemium | Freemium |
| Monthly Visits | 0 | 372,761,591 |
| MoM Growth Rate | -100% | +4.3% |
| Primary Market | Global | China |
| Direct Visits | 0 | 291,585,405 |
| Review Score | 4.4 | 4.8 |
| Saved Count | 0 | 44 |
| Supported Platforms | Website | Website |

## Ask On Data

Ask On Data targets the part of data engineering that has historically required the most ceremony: getting from a business request to a working pipeline. Instead of wiring transformations by hand, you type what you need in natural language and an agent turns that intent into a structured pipeline, showing a live preview of the data after each instruction. Beyond the chat surface it also accepts SQL, Python and direct YAML edits, so teams are not boxed in when a transformation needs precision.

The platform is built on Python and React, and the pipelines it generates are Apache Spark jobs that can be orchestrated and scheduled. Supporting components include Langchain, Ollama and Airbyte. Jobs can be triggered manually or scheduled to run at a set frequency with full load, incremental load or truncate-and-load semantics, and the full action history gives you an audit trail plus undo for any step.

Ask On Data is offered as an open-source project as well as a managed cloud service, and the managed option removes infrastructure and maintenance work while still allowing deployment on a cloud of your choosing. The vendor positions the tool as a large cost saving compared with traditional data engineering stacks, largely because pipelines are authored in a fraction of the usual time. Documented use cases span data integration such as joins and unions, data cleaning, wrangling, custom calculations and broader transformation work.

**Pricing & Plans:** Self-hosting of the open-source edition is free. The managed/enterprise edition is priced by the volume of data processed, so you need to contact the vendor for a quote. A free trial registration is available from the site.

- **Conversational pipeline building:** Create, manage and optimise data pipelines by describing what you want in plain language, with no code required for standard transformations.
- **Live data preview and undo:** Every instruction returns a real-time preview of the affected data, and any step can be rolled back from the action history before you commit.
- **Escape hatches for complex cases:** Drop into SQL, Python or the underlying YAML when edge cases demand precise control, and add Apache Spark code at schedule time.
- **End-to-end scheduling:** Orchestrate complete pipelines on a defined frequency with full load, incremental load, truncate-and-load and similar strategies.
- **Broad source connectivity:** Connect flat files, APIs, databases, data lakes, data warehouses and log files, with custom data source support available on request.

**Strengths:** Natural-language pipeline authoring dramatically shortens the path from request to working job; Full SQL, Python, YAML and Spark escape hatches keep advanced users in control; Live previews plus undo and action history make AI-generated transformations reviewable; Free self-hosting option lowers the barrier for teams that want to evaluate it properly

**Limitations:** Pricing for the managed edition is quote-only, which complicates budgeting before a conversation; Effective use of the escape hatches assumes familiarity with Spark, SQL and YAML concepts; As an AI-driven tool, generated pipelines should still be reviewed before touching production data

[Profile (Markdown)](https://openaitools.app/tool/ask-on-data.md)

## DeepSeek

DeepSeek (Hangzhou DeepSeek Artificial Intelligence Co., Ltd.) is a frontier AI research organization that disrupted the global LLM market by pairing open-weight transparency with breakthrough Mixture-of-Experts (MoE) and reinforcement-learning reasoning efficiency. Following the landmark releases of DeepSeek-V3 and the peer-reviewed DeepSeek-R1 reasoning model, DeepSeek introduced the DeepSeek-V4 generation in 2026—featuring a hybrid attention architecture and a native 1-million-token context window across DeepSeek-V4-Pro (1.6T total parameters, 49B active per token) and DeepSeek-V4.1-Flash (284B total parameters, 13B active per token).

Users can interact with DeepSeek in three ways: completely free through the consumer web portal (chat.deepseek.com) and mobile apps with one-click toggles for deep thinking and live web search; via DeepSeek's hosted, OpenAI-compatible developer API; or by self-hosting DeepSeek's open-weight checkpoints (including V3, R1, Prover-V2, and distilled Qwen/Llama variants) on private infrastructure. The models excel at competitive mathematics, algorithm design, repository-level software engineering, and structured data extraction, with automatic context caching on the API that slashes repeated prompt costs by over 95%.

In late 2026, DeepSeek remains the price-performance benchmark for developers and automation workflows. While the consumer chat interface remains free without a mandatory $20/month subscription tier, the developer API transitioned in late 2026 to two primary endpoints—`deepseek-flash` and `deepseek-v4-pro`—with time-of-day pricing. Off-peak API calls cost just $0.15 per million input tokens ($0.003 on cache hits) and $0.60 per million output tokens on Flash, and $0.66 input / $1.98 output on V4-Pro, making it a fraction of the cost of comparable Western frontier models.

**Pricing & Plans:** Free web and mobile chat app at chat.deepseek.com; pay-as-you-go OpenAI-compatible API with off-peak rates at $0.15/1M input ($0.003 cache hit) and $0.60/1M output for deepseek-flash (V4.1-Flash), and $0.66/1M input ($0.022 cache hit) and $1.98/1M output for deepseek-v4-pro (peak weekday UTC hours bill at 2x).

- **DeepSeek-V4 Hybrid Attention & 1M Context:** Leverages a sparse Mixture-of-Experts architecture (49B active parameters out of 1.6T on V4-Pro) to process up to 1 million tokens with minimal latency and memory overhead.
- **Transparent Chain-of-Thought Reasoning:** Pioneered by DeepSeek-R1 and integrated into V3.2 and V4 thinking modes, exposing step-by-step self-verification for complex math, logic, and code debugging.
- **Automatic Context Caching & Off-Peak API Pricing:** Drops input token costs to $0.003/1M on Flash and $0.022/1M on V4-Pro for cache hits, with 50% lower rates during off-peak UTC hours.
- **Free Consumer Web & Mobile Assistant:** Provides free access at chat.deepseek.com and on iOS/Android with document uploads, reasoning mode, and web search without paywalling core models.
- **Open-Weight Ecosystem & Self-Hosting Freedom:** Offers open weights for DeepSeek-V3, R1, Distill variants, and Prover models on Hugging Face and GitHub so enterprises can deploy within air-gapped environments.

**Strengths:** Completely free consumer web and mobile app with deep reasoning and web search included; Ultra-low API token rates ($0.15/$0.60 on Flash, $0.66/$1.98 on V4-Pro off-peak) with up to 98% savings on cached inputs; Drop-in OpenAI API compatibility makes switching or routing between models effortless; Strong open-weight lineage allows teams to self-host or fine-tune models without vendor lock-in

**Limitations:** Hosted API and web app store data on servers in China, prompting compliance restrictions for some Western enterprises and government agencies; Peak-hour API pricing (01:00–04:00 and 06:00–10:00 UTC on weekdays) doubles per-token costs compared to off-peak rates; Lacks native voice mode, video generation, and productivity suite integrations offered by ChatGPT and Google Gemini

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

## Frequently Asked Questions

### How do Ask On Data and DeepSeek compare in monthly traffic?

Ask On Data has 0 monthly visits, while DeepSeek has 372,761,591. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Ask On Data has a month-over-month growth rate of -100%; DeepSeek has +4.3%.

### How does pricing compare?

Ask On Data: Freemium. Self-hosting of the open-source edition is free. The managed/enterprise edition is priced by the volume of data processed, so you need to contact the vendor for a quote. A free trial registration is available from the site. DeepSeek: Freemium. Free web and mobile chat app at chat.deepseek.com; pay-as-you-go OpenAI-compatible API with off-peak rates at $0.15/1M input ($0.003 cache hit) and $0.60/1M output for deepseek-flash (V4.1-Flash), and $0.66/1M input ($0.022 cache hit) and $1.98/1M output for deepseek-v4-pro (peak weekday UTC hours bill at 2x).

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [ChatGPT](https://openaitools.app/tool/chatgpt-4) | 6,048,022,723 | +2.2% | Freemium | Provides stronger multi-modal reasoning and agentic tools, but lacks DeepSeek's ultra-low-cost API pricing. | [.md](https://openaitools.app/tool/chatgpt-4.md) |
| 2 | [Google Gemini](https://openaitools.app/tool/gemini-gemini-advanced) | 2,637,398,242 | -0.1% | Freemium | Offers an enormous context window and deep Google ecosystem integration, but feels less specialized for pure reasoning tasks. | [.md](https://openaitools.app/tool/gemini-gemini-advanced.md) |
| 3 | [Claude](https://openaitools.app/tool/claude-2) | 1,253,439,413 | +23.8% | Freemium | Delivers superior long-form coding artifacts and nuanced writing, but lacks DeepSeek's specialized open-weight reasoning models. | [.md](https://openaitools.app/tool/claude-2.md) |
| 4 | [Grok](https://openaitools.app/tool/grok) | 203,846,050 | -0.8% | Freemium | Features real-time X social data integration, but is less cost-effective for dedicated developer coding workflows. | [.md](https://openaitools.app/tool/grok.md) |
| 5 | [Perplexity](https://openaitools.app/tool/perplexity-ai) | 88,310,223 | -3.7% | Freemium | Real-time AI answer engine and research workspace combining live web citations with frontier reasoning models. | [.md](https://openaitools.app/tool/perplexity-ai.md) |
| 6 | [Qwen 4 (Alibaba Qwen4)](https://openaitools.app/tool/qwen-4) | 35,101,353 | -6.2% | Freemium | Provides comparable open-weight foundation models and multilingual performance, but requires self-hosting or third-party inference setup. | [.md](https://openaitools.app/tool/qwen-4.md) |
| 7 | [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) |
| 8 | [Kimi AI](https://openaitools.app/tool/kimi-chat) | 19,632,261 | -23.4% | Free | Excels at ultra-long document analysis and research, but lacks the same level of open-weight developer community support. | [.md](https://openaitools.app/tool/kimi-chat.md) |
| 9 | [Ollama](https://openaitools.app/tool/ollama) | 9,421,973 | +4.3% | Free, Freemium, Paid | Enables running open-source models locally on consumer hardware, but lacks DeepSeek's cloud-scale hosted reasoning power. | [.md](https://openaitools.app/tool/ollama.md) |
| 10 | [Dify](https://openaitools.app/tool/dify-ai) | 819,691 | -15% | Freemium | Build, deploy, and govern production-ready agentic AI workflows | [.md](https://openaitools.app/tool/dify-ai.md) |

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Source: https://openaitools.app/compare/ask-on-data-vs-deepseek

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