Use cases
Inventory
Find every tool, owner, seat, and cost.
Savings
Catch waste, overlap, and renewals early.
Access
Onboard and offboard across your stack.
Context
Map how people, tools, spend, and agents connect.
For
Founders
Protect runway by seeing every tool and cost.
Engineering
Control AI usage, access, and provider spend.
Finance
Reconcile software spend and find waste.
Operations
Keep inventory, access, and renewals current.
Resources & company
Resources
Guides and practical software insights.
Manifesto
Why software operations need a new model.
Press
Company news and media resources.
Partners
Build and grow with ELI.
IntegrationsStacksTools
Talk to a humanDiscover my stack
IntegrationsStacksTools
Discover my stackTalk to a human

Company

  • Home
  • Manifesto
  • Talk to us
  • Partners

Help

  • Terms of service
  • Privacy policy
  • Docs

Product

  • Inventory
  • Savings
  • Access
  • Context

For teams

  • Founders
  • Engineering
  • Finance
  • Operations

Explore

  • Integrations
  • Tools
  • Stacks
  • Startup credits
  • Articles

Socials

  • LinkedIn
  • Instagram
  • TikTok
  • YouTube
Enterprise Layer Intelligence
Categories/Data Platform & Integration/Dremio
Dremio

Dremio

Founded 2015

Query and manage enterprise data lakehouses directly for analytics and AI workloads

Pricing model

Free Trial

You can use Dremio to run fast SQL queries across your data lakehouse without moving or copying data. It connects directly to Apache Iceberg tables and federates queries across various enterprise sources. With built-in support for AI agents via Model Context Protocol, coding assistants and analytics tools can access unified business context automatically. You can also organize your data through an open catalog powered by Apache Polaris, cache query results with automated reflections, and enforce consistent access controls from client interfaces to backend storage.

What Dremio does

Query partitioned Iceberg tables using standard SQLConnect external BI dashboards to cloud object storageDefine reusable business metrics in the semantic layerCache frequent reporting queries with reflectionsConfigure fine-grained user permissions on sensitive data columnsFederate queries across disparate cloud and on-premise databasesDeploy a query engine on Kubernetes or cloud environmentsRun federated queries across multiple data sources without moving dataProcess Apache Iceberg tables natively using Apache ArrowConnect AI agents via Model Context Protocol integrationsMaintain a shared semantic layer for company metrics and business contextSpeed up repetitive queries automatically using Autonomous ReflectionsManage metadata and tables using an open catalog powered by Apache PolarisEnforce role-based access controls and credential pass-through from client to storage

Pricing breakdown

Pricing model: Free trial

PlanList price
Dremio Cloud (per DCU (Dremio Compute Unit))$0.20 / mo

Frequently asked

ClaudeClaudeChatGPTChatGPTGeminiGeminiKubernetesKubernetes

Want a tailored answer?

See whether Dremio fits your stack.

Techbible weighs Dremio against what you already pay for, your team shape, and the work that's actually happening. Free to start.

Side by side

Compare Dremio

Search the catalog or pick a similar tool to compare pricing, features, and fit.

Or pick from similar tools

More in Data Platform & Integration

All tools →
Ellie.AI

Ellie.AI

Design conceptual data models and maintain business glossaries collaboratively in your browser

MotherDuck

MotherDuck

Run fast SQL analytics in the cloud using DuckDB without managing infrastructure

Pinecone

Pinecone

Store and search vector embeddings at scale for retrieval-augmented generation applications

Qdrant

Qdrant

Store, search, and manage high-dimensional vector embeddings for machine learning applications

404 Page not found

404 Page not found

Data Governance Software for Snowflake, Databricks & Modern Data Platforms. Control data at the source with Expanso's Hybrid Data Management platform.

Accelario

Accelario

Provision and mask test data for development and QA teams automatically

Acceldata

Acceldata

Monitor data quality, track pipeline performance, and manage enterprise workloads across hybrid environments

AdOpt

AdOpt

Manage website cookie banners and user consent to comply with privacy regulations

Dremio, data lakehouse, Apache Iceberg, Apache Polaris, Apache Arrow, SQL query engine, semantic layer, agentic analytics, data fabric, MCP integration, data catalog, query acceleration, autonomous reflections, cloud data lake, lakehouse architecture