Dune Analytics has rolled out significant enhancements that aim to streamline how teams handle and explore blockchain data. These updates focus on seamless data transformation and delivery, alongside expanded coverage of emerging networks, giving analysts, engineers, and institutions more powerful ways to work with onchain information. Dune Analytics pointed out that the first major release introduces a fully integrated dbt connector paired with Datashare.
Dune Analytics also indicated that this solution creates an efficient pipeline that starts with raw blockchain records and ends with polished, query-ready datasets sitting directly inside a user’s Snowflake or BigQuery warehouse.
Teams no longer need to construct and maintain separate ETL processes.
Instead, they tap into Dune’s vast data library—spanning more than 130 blockchains, decoded tables, and ready-made collections covering stablecoins, decentralized exchange trades, wallet behavior, and beyond.
Users write standard dbt models against DuneSQL, applying joins, filters, business rules, or cohort logic exactly as they would in any other environment.
Once the model runs, a simple post-hook automatically registers the output as a synced table.
Dune then manages incremental updates, keeping the warehouse current without manual intervention.
The result is transformed data that slots neatly alongside existing off-chain sources such as CRM records, payment logs, or product metrics.
Because the heavy lifting happens before delivery, transfer volumes shrink dramatically—particularly helpful for data-intensive chains like Solana.
Prototyping, testing, and iteration stay fast inside Dune’s query engine, while changes to models propagate automatically to the warehouse.
Early adopters, including the Base network team, have already leveraged the connector to build specialized tables in under an hour, illustrating the speed and simplicity it delivers.
Organizations already familiar with dbt face virtually no learning curve, as the workflow mirrors their existing practices.
Complementing this pipeline is the addition of Tempo, a payments-oriented blockchain developed in collaboration with Stripe, now fully live on Dune.
Designed from the ground up for high-volume financial flows, Tempo eliminates several pain points common to general-purpose networks.
It has no native gas token; instead, fees are paid directly in USD stablecoins using the custom TIP-20 standard.
This approach brings predictable costs and removes exposure to volatile assets.
Transactions reach finality in roughly 500 milliseconds thanks to Simplex BFT consensus, enabling near-instant settlement for everything from remittances to machine-to-machine commerce.
Additional protocol-level innovations include built-in transfer memos for easy reconciliation, compliance tools, an enshrined stablecoin order book for optimal pricing, and a specialized transaction format supporting fee sponsorship, batching, passkeys, parallel execution, and scheduled payments.
The Machine Payments Protocol, co-authored with Stripe and adopted by partners such as Visa, further extends its utility for autonomous agent economies.
With Tempo’s data now queryable alongside hundreds of other chains, users can analyze stablecoin movements, fee patterns, liquidity provision, DEX activity, account growth, and adoption trends in a standardized format.
Payment-specific metrics become comparable across ecosystems for the first time, opening fresh insights for builders, researchers, and financial institutions.
The new chain’s information is also accessible through the Datashare warehouse pipeline, letting teams incorporate Tempo flows directly into their internal analytics stacks.
Together, these updates reinforce Dune Analytics’ position as a central hub for onchain intelligence.
By combining flexible transformation tools with rapid network expansions, the platform reduces friction between raw blockchain data and production-ready insights.
Whether teams need to reshape massive datasets or study the mechanics of next-generation payment rails, Dune now says that it offers a more integrated path forward. Early feedback suggests these features will accelerate development cycles and deepen cross-chain understanding for the entire crypto data ecosystem.