Doris vs Spider Cloud

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

Analysis reviewed Live tool data as of 2026-10-18
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At a glance

DimensionDorisSpider Cloud
CategoryReal-time analytics & search databaseWeb crawling & scraping API
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

Apache Doris unifies OLAP analytics, full-text search, and vector search in one open-source SQL engine.

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Spider Cloud
Spider Cloud

Spider Cloud is a web scraping, crawling, and search API that streams live pages as markdown or JSON for AI agents and RAG pipelines.

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Pricing
Free
Freemium
Plans
$0
$1/GB + $0.0001/CPU-min
From $6/mo
From $40/mo
Custom
Popularity
28 views
7.5k views
Skill Level
Advanced
Intermediate
API Available
Platforms
WebCLIAPI
WebAPIPluginCLIDesktop
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
MySQL wire protocol compatibility for existing SQL tooling
Native ANN vector indexes for similarity search on embeddings
VARIANT data type for schema-free semi-structured JSON
Vector search over Paimon indexes via Doris SQL with index pushdown and a Rust reader
Episode search and structured filters for robotics and autonomous-driving data with Lance
Benchmarked on wide, fast-changing JSON payloads from AI agent logs
Shared-nothing deployment on bare metal
Disaggregated compute and storage on S3, Azure Blob, and GCS
High-throughput log and metric ingestion for observability pipelines
Sub-second interactive queries for customer-facing analytics
Profile Analysis workspace for diagnosing slow queries
Free Apache Doris 101 course covering fundamentals
5.0 preview targets unified search across open lake formats and multimodal data
Active 4.x release lines with a public community roadmap for upcoming versions
Scrape a single page into markdown, JSON, HTML, raw, or plain text
Crawl entire sites with each page streamed as one JSONL line in order as it finishes
Web search endpoint returns SERP results plus the scraped pages behind them
Custom browser renders like a user: scripts run, lazy images load, infinite scroll reaches the end
Load protected pages through a real browser engine with geo checks, returning a 200
Run full browser sessions over WebSocket with anti-detection and rotating exits
Send AI commands (Act, Extract, Observe) over the Browser API WebSocket
Send a prompt on a scrape or crawl request and get named fields back as JSON
Two-phase AI extraction: a fast model for most pages, a stronger model for complex layouts
Provider router sends scrape and crawl requests to outside providers on your own keys
Data connectors pipe crawl results into S3, GCS, Google Sheets, Azure Blob, or Supabase
Proxy network with 215M+ residential and ISP exits in 199 countries, rotated per request
MCP server at mcp.spider.cloud for Claude Code, Codex, Cursor, and Claude Desktop
1,000+ ready-made scraper examples across 32 categories, each with working code
API responses support JSON, JSONL, CSV, and XML; up to 10,000 core API requests per minute by default
Integrations
Apache Paimon
Lance
LangChain
LlamaIndex
CrewAI
FlowiseAI
Langflow
Dify
Agno
MCP
Claude Code
Codex
Cursor
Claude Desktop
Amazon S3
Google Cloud Storage
Google Sheets

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 (averaged across 2 sources)

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

No verifiable community signal. We scanned public discussion on Oct 14, 2026 and found posts matching the name “Spider Cloud”, but could not establish that they are about this product rather than something else sharing its name. Rather than publish a score built on the wrong subject, we publish none.

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.

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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
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Last reviewed: July 3, 2026