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Side-by-side record

Dremio vs. Qdrant

Built from each tool’s researched, reviewed record. Figures are checked against public pricing pages at research time — always confirm current pricing with the vendor before buying.

The short version

Dremio starts at Free per seat, versus Qdrant at Custom pricing. Dremio carries the higher aggregate rating (4.6/5 vs 4.5/5).

Full comparison

Dremiofrom Free
Qdrantfrom Custom pricing
Audyense Score78ASStrong52AS*Low
PositioningA unified lakehouse platform that lets teams query and analyze data across S3, Snowflake, Redshift, and dozens of other sources directly on open formats like Apache Iceberg.Open-source vector database for AI applications
Free tierYesYes
DeploymentCloud / SaaS, On-premise, HybridCloud / SaaS, On-premise, Hybrid
Best fitSMB, Mid-market, EnterpriseStartup, SMB, Mid-market, Enterprise
Pricing plans
  • Community EditionFree
  • Dremio Cloud$0
  • Dremio EnterpriseCustom pricing
  • FreeFree
  • StandardCustom pricing
  • PremiumCustom pricing
  • Hybrid/Private CloudCustom pricing
Workflow automationNoAutomation is scoped to query acceleration and AI-agent query assistance, not general workflow automation.—
AI featuresYesAI Semantic Layer and built-in AI Agent, plus MCP integration for Claude/ChatGPT/Gemini.—
Public APIYesDocumented ODBC/JDBC/Arrow Flight interfaces and a Dremio CLI/MCP integration.—
Self-hosting / on-premYesCommunity Edition and Dremio Enterprise both support self-hosted deployment.—
Pre-built connectorsYes20+ named native connectors plus ODBC/JDBC/Arrow Flight generic connectivity.—
Data pipelines / ETLPartialPositioned to reduce/eliminate traditional ETL via federated live querying rather than being a pipeline/orchestration tool.—
Scheduling & triggersNoNo evidence of job/workflow scheduling distinct from query execution and Reflections refresh.—
Data governance & lineageYesFine-grained RBAC down to rows/columns, Open Catalog governance, plus compliance certifications.—
Role-based access controlYesRole-based access control with row/column-level granularity.—
Integrations verified23+—
Aggregate rating4.6 · 69 reviews4.5 · 12 reviews
Integrations
Amazon S3Azure Data Lake StorageGoogle Cloud StorageAWS Glue Data CatalogApache HiveApache Iceberg REST Catalog+17 more
—
Security & compliance
SOC 2 Type IIISO/IEC 27001:2022HIPAAGDPR+1 more
SOC 2GDPRHIPAA
Pros
  • Federated SQL queries across many disparate data sources without moving or duplicating data
  • Reflections acceleration feature delivers sub-second BI query response times
  • Rated highly for ease of use and fast, direct data exploration by both technical and non-technical users
  • Strong data lake / lakehouse integration and cloud processing scores from reviewers
  • Free perpetual tier for testing/prototyping (0.5 vCPU, 1GB RAM cluster)
  • Multi-cloud support (AWS, Azure, GCP) plus hybrid/private cloud options
  • SOC2, GDPR, and HIPAA compliance for managed cloud
Cons
  • Some users report occasional out-of-memory (OOM) errors without clear diagnostic explanations
  • High resource demands and difficulty maintaining the environment at scale
  • Steep learning curve for advanced features despite a low barrier for basic querying
  • Review volume on major platforms is relatively thin for a company of Dremio's market position
  • Standard/Premium tiers are usage-based with minimum spend on Premium, pricing not fully transparent without configuring a cluster
  • G2 review volume is still small (12 reviews) relative to more established vector DBs
Visit Dremio ↗Visit Qdrant ↗