Doris vs Spider Cloud

Side-by-side comparison of features, pricing, and ratings

Analysis reviewed Live tool data as of 2026-09-02
Cross-checked through our multi-step verification ·
Saved

At a glance

DimensionDorisSpider Cloud
CategoryReal-time analytics & search databaseWeb crawling & scraping API
PricingFree (open-source)Freemium (API credits, $0.03/1k pages)
Key FeatureUnified OLAP, full-text & vector searchRust-powered scraping + AI extraction
AI ReadinessANN vector indexes for RAG/hybrid searchBrowser AI commands + AI Studio (add-on)
Integration StyleSQL + object storage connectorsLangChain, LlamaIndex, data connectors (S3/GCS)
Latest Updatev4.1 (May 2026)Browser AI commands, scraper catalog, data connectors

Doris is the right choice if you need a unified real-time analytics and search database with hybrid vector-text support—ideal for building customer-facing dashboards or RAG backends. Spider Cloud shines when your AI agent requires up-to-date web data via scraping and crawling, especially with its new Browser AI commands. They serve fundamentally different purposes; choose based on whether your primary need is storage/query or data ingestion from the web.

Try DorisTry Spider Cloud
Doris
Doris

Open-source real-time SQL analytics, full-text search, and vector database for AI.

Visit Website
Spider Cloud
Spider Cloud

AI web scraping API: crawl, scrape, search any site into markdown or JSON at 10k req/min.

Visit Website
Pricing
Free
Freemium
Plans
—
$1/GB + $0.001/min compute
$40/mo (2 concurrency)
$6/mo
Popularity
17 views
7.5k views
Skill Level
Advanced
Intermediate
API Available
Platforms
WebCLIAPI
WebAPICLI
Categories
⚙️ Developer Infrastructure📊 Data & Analytics🗄️ Vector Databases & Retrieval
🌐 Web Scraping & Search APIs🖱️ Browser & Computer-Use Agents
Features
Unified OLAP, full-text search, and vector search in one SQL engine
Real-time SQL analytics with sub-second query latency
Native ANN vector indexes (IVF, IVF_ON_DISK) for similarity search
VARIANT data type for semi-structured JSON
ASOF JOIN performance surpassing ClickHouse and DuckDB (v4.1 benchmark)
High-throughput log and metric ingestion
Disaggregated storage on S3, Azure Blob, GCS
Shared-nothing multi-warehouse architecture
MySQL wire protocol compatibility
Columnar storage engine optimized for OLAP
Self-managed on bare metal or cloud-native deployments
PB-scale analytics for observability and AI backends
Open-source under Apache Software Foundation
Free official Apache Doris 101 course
Profile Analysis workspace for diagnosing slow queries
Scrape any website into markdown, JSON, or raw HTML
Full-site crawling at 100K+ pages/sec
10,000 core API requests per minute default
Web Search API: SERP + scraping + extraction in one call
/ai/search endpoint with relevance gate to skip irrelevant pages
Silk AI model: HTML-to-structured data and captcha solving on GPUs
Browser Cloud: full browser sessions over CDP
AI commands (Act, Extract, Observe) via WebSocket with AI Studio
Multiple output formats: HTML, raw, plain text, markdown, JSON, JSONL, CSV, XML
Stealth browser layer and Unblocker for anti-bot sites
Proxy pool with 215M+ residential and ISP IPs across 199+ countries
Robots.txt compliance on by default, disable per-request
data_connectors parameter: pipe results to S3, GCS, Google Sheets, Azure Blob, Supabase
extraction_schema parameter: AI output conforms to JSON schema
1,000+ ready-made scraper examples across 32 categories
Integrations
LangChain
LlamaIndex
CrewAI
FlowiseAI
AutoGen
Agno

What real users say: Doris vs Spider Cloud

Not marketing copy and not our opinion — a structured sweep of public discussion (reviews, forums, communities and video comments), showing what people praise and what they complain about for each tool.

Doris

45 mentions across 2 sources · 40% positive — mixed

Hacker News, Lemmy

What users praise

  • • Sub-second query latency for real-time analytics.
  • • Unified SQL, full-text, and vector search in one engine.
  • • Open-source with Apache license – no vendor lock-in.
  • • Benchmarks claim 34-40x faster updates than ClickHouse.

What frustrates them

  • • Almost no user reviews or real-world testimonials available.
  • • Setup is complex despite 'beginner' skill level tag.
  • • Benchmark claims not independently verified by third parties.
  • • Small active community – limited help and resources.

Researched Jul 3, 2026

Spider Cloud

41 mentions across 2 sources · 0% positive — critical

YouTube, Lemmy

What users praise

  • • Competitive pay-as-you-go pricing at $1/GB with no expiry.
  • • Default rate limit of 10,000 requests per minute is generous.
  • • Broad output formats (HTML, markdown, JSON, CSV) cover diverse needs.
  • • Integrated Web Search API bundles SERP and extraction for AI agents.

What frustrates them

  • • No community feedback to confirm reliability or performance.
  • • Self-reported metrics lack independent verification.
  • • Stealth browser success may vary across real sites.
  • • Potential legal risks from scraping; compliance is user's responsibility.

Researched Aug 26, 2026

Who should pick which

  • Data engineer building real-time dashboards
    Pick: Doris

    Doris provides sub-second SQL analytics, native vector search, and high log ingestion throughput—perfect for customer-facing dashboards and observability.

  • AI agent developer needing real-time web data
    Pick: Spider Cloud

    Spider Cloud's Rust-powered API, Browser AI commands, and search endpoint supply up-to-date web content for RAG pipelines and LLM tools.

  • Startup building a hybrid search product
    Pick: Doris

    Doris's unified engine for OLAP, full-text, and vector search enables hybrid search for RAG without maintaining separate systems.

  • Team scraping large volumes of e-commerce sites
    Pick: Spider Cloud

    Spider Cloud's scraper catalog, stealth anti-detection, and data connectors to S3/GCS make bulk scraping efficient and integrable.

  • Observability engineer handling high-volume logs
    Pick: Doris

    Doris's high-throughput log ingestion and columnar storage are optimized for time-series and metric data at scale.

Frequently Asked Questions

Doris vs Spider Cloud: which should you choose?

Doris is the right choice if you need a unified real-time analytics and search database with hybrid vector-text support—ideal for building customer-facing dashboards or RAG backends. Spider Cloud shines when your AI agent requires up-to-date web data via scraping and crawling, especially with its new Browser AI commands. They serve fundamentally different purposes; choose based on whether your primary need is storage/query or data ingestion from the web.

Can Doris be used for web scraping?

No. Doris is a database for storing and querying data, not for fetching it from the web. Use Spider Cloud for scraping.

Does Spider Cloud offer vector search?

No. Spider Cloud focuses on web data extraction. For vector search, you'd need a database like Doris or a vector DB.

Which tool is better for RAG pipelines?

Both can be used together: Spider Cloud to scrape the web and feed data into Doris, which can then provide vector + text search for retrieval.

Is Doris fully managed?

No. Doris is self-hosted open-source. For a managed service, consider cloud offerings like SelectDB (a Doris-based service).

Does Spider Cloud support synchronous scraping?

Yes. Spider Cloud's API is synchronous by default, with options for asynchronous via webhooks.

Can Doris handle JSON data?

Yes, via the VARIANT data type for semi-structured JSON, enabling SQL queries on nested fields.

What is the average latency of Spider Cloud?

Spider Cloud claims fast scraping due to its Rust engine, but latency depends on target website. Average page load time is not specified but typically under a few seconds.

Does Doris support indexing for full-text search?

Yes. Doris has native inverted indexes for full-text and hybrid search, combined with ANN vector indexes.

More Doris or Spider Cloud comparisons

Vercel vs Spider Cloud comparison

Choose Vercel if you need to deploy full-stack apps or AI agents with sandboxed execution, global CDN, and rich framework integrations. Choose Spider Cloud if your primary need is fast, reliable web s

Power BI vs Spider Cloud comparison

If your stack lives inside Microsoft 365 and you need governed, interactive dashboards, Power BI is the natural choice with unmatched ecosystem integration. But if you're building AI agents or RAG pip

LM Studio vs Spider Cloud comparison

If you need to run LLMs locally for privacy and agentic workflows, LM Studio is the free, polished choice with recent updates like multi-GPU tensor parallelism and MTP speculative decoding. If your pr

Tableau vs Spider Cloud comparison

Tableau and Spider Cloud serve entirely different purposes: Tableau is a full-featured BI platform for human analysts building interactive dashboards, while Spider Cloud is a purpose-built scraping AP

Amplitude vs Spider Cloud comparison

Spider Cloud and Amplitude solve entirely different problems. Choose Spider Cloud if you need high-volume, low-cost web data extraction for AI agents and RAG pipelines—it’s purpose-built for that. Cho

Looker vs Spider Cloud comparison

Choose Spider Cloud if you need a fast, low-cost web scraping API for feeding real-time data into AI agents and RAG pipelines. Choose Looker if you're an enterprise on Google Cloud needing governed, A

Explore each tool further

Doris
View Doris reviewDoris alternatives
Spider Cloud
View Spider Cloud reviewSpider Cloud alternatives

Browse these categories

Best AI Developer Infrastructure toolsBest AI Web Scraping & Search APIs toolsBest AI Data & Analytics toolsBest AI Browser & Computer-Use Agents tools
Still deciding? Get the weekly AI tools brief

One email a week — new tools, honest comparisons, no spam.

Last reviewed: July 3, 2026