Apache Doris is an open‑source, high‑performance analytical database designed for real‑time reporting and hybrid search workloads. It combines columnar storage with vectorized execution to deliver low‑latency queries on massive data sets. Built for AI‑driven applications, Doris supports both traditional SQL analytics and approximate nearest‑neighbor search, enabling developers to embed fast, searchable analytics directly into intelligent agents and services.
Ragie is a context engine that provides purpose-built APIs for indexing, retrieval, parsing, and entity extraction to give AI agents, assistants, and apps the right context. It supports multimodal data (text, PDFs, images, audio, video), native connectors (Google Drive, Notion, Confluence, Slack), hybrid search, MCP server, partitions, and enterprise-grade security (SOC 2, GDPR, HIPAA). It is used for legal research, productivity assistants, and sales tech.
Details below.
- Open‑source and free to use
- Sub‑second query latency on massive data sets
- Native support for vector similarity search
- Compatible with existing MySQL tools and drivers
- Handles full retrieval pipeline (vector, keyword, summary indexes)
- Agentic OCR extracts structured elements from any document with bounding boxes
- Plain language entity extraction
- Multimodal support including video
- Relatively new ecosystem, fewer third‑party connectors than older warehouses
- Operational complexity for large clusters requires expertise
- Limited built‑in GUI; relies on external BI tools
- Pricing not publicly available
- May be overkill for simple RAG use cases
- Dependency on third-party service for core RAG infrastructure
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The Verdict
AI-generated from listing dataDoris is a free, open‑source analytics database with sub‑second SQL and vector search, while Ragie is a paid, managed RAG platform offering end‑to‑end retrieval, OCR, and multimodal support.
Key differences
- •Doris is self‑hosted, free, and focuses on SQL analytics and vector search; Ragie is a subscription service with managed cloud/on‑prem deployment.
- •Doris provides a MySQL‑compatible protocol and integrates with Spark, Flink, Hive; Ragie offers native connectors to SaaS tools (Google Drive, Notion, etc.) and OCR/entity extraction.
- •Ragie includes built‑in OCR, entity extraction, multimodal (video) handling and a hybrid search pipeline; Doris lacks these advanced content‑processing features.
- •Support for Doris is community‑based (mailing list, GitHub, Slack); Ragie provides enterprise‑grade support with SOC 2, GDPR, HIPAA compliance.
- •Doris scales via automatic sharding/replication for petabyte tables; Ragie emphasizes uptime (99.9%+) and data isolation via partitions but pricing and scaling details are not disclosed.
Pricing & value
Doris is free and open‑source; Ragie requires a paid subscription with undisclosed pricing.
Ease of use / learning curve
Ragie offers managed service, REST APIs, and developer‑friendly tooling; Doris requires self‑hosting and cluster expertise.
Features & depth
Ragie provides full RAG pipeline: OCR, entity extraction, multimodal, hybrid search; Doris focuses on SQL analytics and vector search only.
Integrations & ecosystem
Both have strong integrations: Doris with Spark, Flink, Hive; Ragie with Google Drive, Notion, Confluence, Slack.
Scalability
Doris handles petabyte‑scale tables with automatic sharding/replication; Ragie's scalability claims lack concrete metrics.
Support
Ragie offers enterprise‑grade security compliance and implied support; Doris relies on community channels only.
Security & privacy
Ragie lists SOC 2 Type II, GDPR, HIPAA, CCPA compliance; Doris provides no specified security certifications.
Choose doris if…
Enterprises needing free, high‑performance SQL analytics and vector search, with in‑house ops expertise.
Choose Ragie if…
Teams building AI agents that require managed RAG pipelines, OCR, multimodal data, and enterprise security compliance.
Common questions
Is there any cost to start using Doris?
Yes, Doris is free and open‑source; you only incur infrastructure costs for self‑hosting.
Does Ragie support OCR and entity extraction out of the box?
Yes, Ragie includes agentic OCR and plain‑language entity extraction as built‑in features.
What kind of support can I expect from each product?
Doris offers community support via mailing list, GitHub, and Slack; Ragie provides enterprise‑grade support with compliance certifications.