DeFi has become increasingly data-driven. Traders, researchers, developers and investors can now monitor protocol activity, liquidity, trading volumes, token movements and other on-chain metrics without relying entirely on traditional financial data providers.
Two of the most widely used platforms for this type of research are DeFiLlama and Dune Analytics.
Although both platforms provide blockchain data and analytics, they are designed around different approaches. DeFiLlama focuses heavily on structured DeFi metrics such as Total Value Locked, fees, revenue, yields, stablecoins and protocol activity. Dune takes a more flexible approach, allowing users to query decoded blockchain data with SQL and build custom dashboards.
Understanding these differences can help users choose the right analytical tool for a particular research task.
What Is DeFiLlama?
DeFiLlama is a DeFi-focused analytics platform that aggregates information about protocols and blockchain ecosystems.
Its dashboard provides metrics such as TVL, stablecoin market capitalization, DEX volume, perpetual trading volume, fees and revenue. It also provides protocol rankings and data across multiple chains.
The platform goes beyond a simple TVL tracker. Its metrics section includes categories covering yields, fees and revenue, trading volume, stablecoins, bridges, token data, liquidations, unlocks and other areas of the crypto ecosystem.
For someone who wants to quickly investigate the state of DeFi, this structured approach can be particularly useful.
What Is Dune Analytics?
Dune is designed around on-chain data analysis.
Instead of relying only on predefined metrics, users can query blockchain data with SQL, create visualizations and combine those visualizations into dashboards. Dune also provides access to APIs and other data-delivery tools.
This makes Dune particularly useful when a researcher has a question that cannot be answered by a standard dashboard.
For example, someone could investigate wallet behavior, token transfers, protocol users, governance activity or specific smart-contract interactions and then build a custom dashboard around the results.
Dune currently describes its data coverage as spanning more than 130 chains, while its data catalog includes areas such as stablecoins, tokenized assets, payments, perpetuals and prediction markets.
DeFiLlama vs Dune: Main Differences
The biggest difference is the level of customization.
DeFiLlama is generally easier when the question is something like:
“What is the TVL of this protocol?”
Dune becomes more useful when the question is:
“Which wallets interacted with this protocol during a specific period, what transactions did they make, and how can I visualize the results?”
The platforms therefore complement each other rather than simply competing for exactly the same use case.
| Feature | DeFiLlama | Dune Analytics |
|---|---|---|
| DeFi metrics | Extensive | Extensive, depending on available data |
| TVL tracking | Core feature | Available through queries/dashboards |
| Fees & revenue | Pre-structured metrics | Can be queried and customized |
| Yield data | Extensive | Can be analyzed through custom queries |
| Custom SQL | Limited compared with Dune | Core feature |
| Custom dashboards | Available, including advanced options | Core feature |
| Raw/decoded on-chain analysis | More structured | Major strength |
| Wallet analysis | Available for some areas | Highly customizable |
| API/data access | Available for selected data | Extensive API and data tooling |
| Learning curve | Relatively low | Higher |
| Best suited to | Quick DeFi research | Custom on-chain analytics |
The exact feature availability can vary by account and subscription level, so users should check the current product documentation before relying on a particular paid feature.
TVL and Protocol Research
One of DeFiLlama’s strongest use cases is quickly comparing protocols and ecosystems.
A researcher can examine TVL rankings, changes over different time periods and related metrics without having to write SQL queries.
For example, someone researching lending protocols might start by looking at TVL and then investigate fees, revenue and other available indicators.
This makes DeFiLlama useful for the initial stage of research, when the goal is to understand the overall landscape.
Dune can also analyze TVL, but its advantage appears when the researcher wants to investigate the underlying activity or construct a custom definition of a metric. Dune itself describes its platform as providing access to decoded blockchain data that users can query and use to create custom analytics.
Custom Queries: Where Dune Stands Out
Dune’s SQL environment is one of its defining characteristics.
Instead of being restricted to a predefined dashboard, users can formulate their own questions.
For example, a researcher could potentially examine:
Number of unique wallets interacting with a protocol
Volume generated by a particular contract
Token transfers over a selected period
User retention
Governance participation
Activity associated with a specific wallet or group of wallets
Dune’s documentation describes the ability to query blockchain data, visualize results and assemble those visualizations into dashboards.
This flexibility is powerful, but it also creates a higher learning curve.
A user who has never worked with SQL may need some time to understand tables, joins, blockchain events and the structure of on-chain data.
Dashboards and Visualization
Both platforms offer dashboards, but their philosophy is different.
DeFiLlama provides a large amount of ready-to-use information. Its platform includes protocol rankings, chain metrics and specialized dashboards covering areas such as yields, stablecoins, fees, volume and other DeFi categories.
Dune allows users to construct dashboards from their own queries.
This means that a Dune dashboard can be designed around a very specific research question.
For example, a project could create a dashboard showing daily users, transaction volume, token flows and retention metrics for a particular protocol.
Dune also allows dashboards and queries to be shared with the broader community, making collaborative blockchain research easier.
Data Depth and Flexibility
Another important difference is the relationship between aggregated metrics and underlying blockchain data.
DeFiLlama specializes in making complex DeFi information easy to consume. Metrics such as TVL, fees, revenue and yields are presented in a standardized format across protocols and chains.
Dune places more emphasis on giving users access to the underlying decoded data so they can construct their own measurements.
This distinction is important because two researchers can have different definitions of a metric.
With a predefined dashboard, the user generally accepts the platform’s methodology. With a custom query, the researcher can define the calculation themselves, although this also creates responsibility for ensuring that the query is technically correct.
APIs and Data Integration
Both platforms can be useful beyond their websites.
Dune provides programmatic access through APIs and offers integrations for workflows involving data warehouses and business intelligence tools. Its current API and connector offering is designed for programmatic access to on-chain data and analytics.
DeFiLlama also provides data access and tools around its DeFi datasets, while its platform includes features such as spreadsheets, token liquidity information, protocol data and custom dashboards.
For a developer building an application, the exact API requirements and available datasets should therefore be checked before choosing a provider.
Ease of Use
For beginners, DeFiLlama generally offers a more straightforward starting point.
A user can open the platform, search for a protocol and immediately access a range of standardized metrics.
Dune requires more active participation if the desired analysis is not already available through an existing dashboard.
The trade-off is straightforward:
DeFiLlama prioritizes accessibility and structured DeFi information.
Dune prioritizes flexibility and custom analysis.
Neither approach is inherently better for every task.
A Practical Example
Imagine that you want to research a decentralized exchange.
With DeFiLlama, you could begin by examining its TVL, trading volume, fees and other protocol-level metrics.
You might then compare those metrics with competing exchanges or examine how they have changed over time.
With Dune, you could go deeper by constructing a query that examines wallet activity, transaction patterns, token flows or user behavior.
The two platforms could therefore be used together.
A researcher might use DeFiLlama to understand the broader market and Dune to investigate a specific question in greater detail.
Which Tool Should Beginners Learn First?
For someone completely new to blockchain analytics, starting with DeFiLlama can provide a useful introduction to the major metrics used in DeFi.
Understanding TVL, fees, revenue, volume, stablecoin supply and yields gives users a foundation for interpreting DeFi markets.
Once those concepts are familiar, learning Dune can provide a path toward more advanced analysis.
Basic SQL knowledge can significantly expand what a researcher can investigate because blockchain data can be transformed into custom metrics rather than simply viewed through predefined dashboards.
Using Both Platforms Together
The most useful approach does not necessarily involve choosing only one.
A simple research workflow could look like this:
Step 1: Use DeFiLlama to identify protocols and examine high-level metrics.
Step 2: Compare TVL, fees, revenue, volume and other relevant indicators.
Step 3: Use Dune when a deeper investigation is required.
Step 4: Build a custom query around the specific question.
Step 5: Compare the custom results with broader protocol-level data.
This combination can provide both a high-level view and a deeper understanding of the underlying blockchain activity.
Final Thoughts
DeFiLlama and Dune Analytics serve different but complementary purposes.
DeFiLlama is particularly useful for quickly exploring structured DeFi metrics such as TVL, yields, fees, revenue, stablecoins and trading activity. Dune is more focused on customizable blockchain analysis, allowing users to query decoded on-chain data, create dashboards and integrate results into broader data workflows.
For beginners, DeFiLlama can provide an accessible introduction to DeFi analytics. For researchers and analysts who want to construct their own measurements, Dune offers considerably more flexibility.
Rather than treating the platforms as direct substitutes, users can view them as two different layers of blockchain research: one focused on structured information and the other on customizable analysis.
Disclaimer
This article is provided for educational and informational purposes only. It does not constitute financial, investment or trading advice. Blockchain analytics can contain incomplete, delayed or differently calculated data depending on methodology and data sources. Always verify important information against primary sources and understand the methodology behind any metric before using it in financial research or decision-making.