Dune provides a cloud‑native platform that aggregates and normalizes on‑chain data from over 100 public blockchains into a unified, queryable schema. Users can run SQL‑compatible queries, build visual dashboards, and access results via REST APIs or export connectors for data warehouses and machine‑learning pipelines, all with enterprise‑grade security and near‑real‑time freshness.
Funding
$69.4M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Blockchain ecosystems generate massive, heterogeneous onchain data across dozens of networks, yet analysts and developers often lack a unified, queryable source that supports real‑time insights, cross‑chain correlation, and AI‑ready extraction. The absence of standardized APIs and scalable data sharing mechanisms forces teams to build costly pipelines or rely on fragmented third‑party services.
Solution
Dune delivers a cloud‑native data platform that aggregates, normalizes, and indexes onchain activity from over 100 blockchains, exposing the data through an interactive analytics hub, RESTful APIs, and a data‑share service. Users can author SQL‑compatible queries, generate visual dashboards, and schedule automated reports without managing infrastructure. The platform’s ingestion engine continuously syncs new blocks, ensuring near‑real‑time freshness, while built‑in schema versioning maintains consistency across protocol upgrades. Export connectors enable direct loading of query results into data warehouses, BI tools, or machine‑learning pipelines, supporting both exploratory analysis and production workloads. Role‑based access controls and audit logging meet enterprise compliance requirements, and the service is packaged for individual analysts, development teams, and large organizations.
Target Audience
Primary customers are onchain analysts, blockchain developers, and data scientists building DeFi, NFT, or protocol‑level intelligence, as well as enterprises that need to embed onchain metrics into their business intelligence workflows.
Features
- Multi‑chain ingestion pipeline that normalizes transaction, event, and token data from 100+ public blockchains in near‑real‑time
- SQL‑compatible query engine with built‑in functions for address clustering, token price lookups, and time‑series aggregation
- Interactive analytics hub offering drag‑and‑drop visualizations, customizable dashboards, and scheduled email or webhook deliveries
- RESTful APIs and SDKs (Python, JavaScript) for programmatic access to raw tables, query results, and metadata
- Datashare service that streams query outputs to external data warehouses (Snowflake, BigQuery, Redshift) via secure connectors
- AI‑ready data export format with columnar Parquet files and feature‑store integration for downstream machine‑learning models
- Enterprise security layer featuring SSO/SAML, role‑based permissions, and immutable audit logs
- Community marketplace for sharing and reusing public queries and dashboards across millions of users