New SQL Engine | Query Any EVM Event Without Waiting for Indexing

A new blockchain analytics tool is disrupting the EVM landscape by enabling users to execute SQL queries on event logs for any smart contract, sidestepping the common limitation of pre-decoded tables. Released on March 10, 2026, the engine aims to ease data access for analysts and developers.

Immediate Need for Change

Many analysts have long faced frustrations when trying to retrieve on-chain data. Often, they discover that the contract they are interested in isn’t indexed yet, forcing them to wait or create complex pipelines to fetch the necessary information. A significant challenge in the crypto realm has been the reliance on pre-decoded tables, which cater mostly to major protocols but often overlook the countless smaller contracts that merit attention.

“Every time we needed data from a new contract, we hit the same bottleneck,” stated an insider involved in the engine’s development. Amidst these challenges, this new SQL engine offers a simplified approach.

How It Works

The SQL engine adopts a Bring Your Own ABI (BYOABI) model, allowing users to:

• Store raw event logs across multiple EVM chains

• Supply the contract ABI directly in their queries

• Receive decoded, structured results immediately

This means users won’t have to wait for someone to index a contract before accessing data. The ease of use is evident in examples provided—no new query language is needed, as SQL syntax dominates, bringing familiarity to those accustomed to database querying.

Key Features:

• Supported Chains: Ethereum, Arbitrum, Base, and more with additional chains on the way.

• Accessibility: Query builders are available for human users, while automated agents can streamline operations using an API key.

• An Extensive Library: Users can access billions of events quickly by selecting a chain, contract, and event—no ABI fuss.

Positive Initial Reception

User feedback has been overwhelmingly supportive. One user noted, "This is so cool! You guys are doing good for web3," reflecting a broader enthusiasm for the potential impacts of this tool on blockchain analytics. Another comment highlighted its significance in reaching "the main directory for web3 infra about world chain."

"This sets a new standard for querying blockchain data easily," remarked one analyst.

Key Observations

• 👍 Excitement surrounds the introduction of this SQL engine, showcasing a demand for enhanced accessibility.

• 📈 Many comments indicate a positive reception, emphasizing the need for such tools in the crypto space.

• 💬 Several users believe this tool enhances the overall analytic capability, helping analysts bypass traditional bottlenecks.

This rollout could very well signal a shift in how on-chain data analysis is conducted, turbocharging the research capabilities of developers and analysts alike. If you’re involved in blockchain analytics, now is the time to explore this new engine.

Future Trends in Data Accessibility

There’s a strong chance that as blockchain continues to evolve, tools like this SQL engine will become standard for accessing decentralized data. With the growing complexity of smart contracts and increasing demand for data analysis, experts estimate that around 70% of blockchain analytics firms might adopt similar technologies within the next year. This shift could enhance decision-making for developers and analysts alike, as faster access to data leads to better strategies in this fast-paced environment. Companies investing in such solutions could see a distinct competitive edge, paving the way for more innovative blockchain applications.

A Lesson from the Era of Digital Databases

Reflecting on the early 2000s, when SQL databases began to dominate the internet, we can see parallels in the current blockchain landscape. Back then, web developers faced similar hurdles in data retrieval, leading to the birth of more accessible database querying tools. Just as SQL democratized data management for countless businesses, this new SQL engine for blockchain may shift the landscape, making complex on-chain data available to a wider audience. As seen with early database innovations, this could lead to tidal waves of creativity and growth in application development, fundamentally altering how we interact with data.