SQD adds validated onchain data to Google Cloud BigQuery

SQD has added validated data from 10 blockchain networks to Google Cloud’s BigQuery platform, giving developers and companies access to full chain histories checked through six cryptographic tests.

SQD brings validated blockchain data into BigQuery

SQD said in an Aug. 24 announcement that its enterprise arm, SQD 360, is providing the indexing system and data pipelines behind datasets available through Google Cloud Web3 Blockchain Analytics.

The initial contribution covers 10 networks from their genesis blocks, allowing analysts to examine their complete available histories rather than records collected only after the integration began. SQD did not identify all 10 chains in its announcement or provide a timetable for adding the next group.

Before the information reaches BigQuery, SQD said each block passes six cryptographic checks. The process includes comparing data from multiple sources and checking transaction roots and state roots, which are cryptographic values used to confirm whether a block’s records match the underlying blockchain state.

SQD said the checks are intended to catch missing, incorrect, or inconsistent records before they enter analytics pipelines. Fresh blocks must also pass the validation process as the datasets continue to update.

Once loaded into BigQuery, the records become available through the same cloud environment used for business intelligence, machine learning, and large-scale data analysis. Developers can therefore examine blockchain activity without building an indexer, storing an entire chain history, or maintaining separate infrastructure for each network.

“Partnering with Google Cloud Web3 to bring our validated data standard to BigQuery is a defining step for SQD, and a strong signal that enterprise-grade blockchain data has arrived,” SQD CEO Wanja Oberhof said.

The companies did not disclose financial terms, revenue-sharing arrangements, or service-level commitments tied specifically to the partnership.

SQD Network distributes storage and query work

SQD operates a decentralized data network built to collect, verify, store and serve information generated by blockchains and Web3 applications. Its infrastructure separates the work among data providers, independent worker nodes, and gateways rather than relying on one central database.

According to SQD Network documentation, data providers submit blockchain records before a scheduler assigns pieces of each dataset to worker nodes. Workers supply storage and computing resources, hold copies of the assigned records, and answer queries submitted through gateways.

Each worker must bond 100,000 SQD tokens to register on the network. Workers receive token rewards based on factors such as uptime, the amount of data served, and delegated tokens, while provable violations of network rules can lead to penalties.

Gateways provide the connection between data consumers and the worker network. The amount of SQD locked by a gateway operator determines how many requests it can send, tying query capacity to the network’s token-based resource system.

SQD says its full data service covers more than 130 networks, although only 10 are included in the first Google Cloud contribution described in the announcement. Its Portal product offers historical and real-time information from chains across the Ethereum Virtual Machine, Solana, Substrate, and Bitcoin-based ecosystems.

Unlike a standard blockchain node, which may provide raw or recent network information, SQD’s system converts records into structured datasets containing blocks, transactions, logs, traces and changes in blockchain state. Structured records allow analysts to search large periods and compare activity without processing raw chain files each time.

Google Cloud expands access to indexed onchain records

Google Cloud describes Blockchain Analytics as a service that places indexed blockchain information in BigQuery for analysis through SQL, a common language for searching and organizing databases. The product lets users query blocks, transactions, event logs, and call traces without operating nodes or creating an indexer for every protocol.

BigQuery can also combine onchain records with a company’s internal data. A wallet service, for example, could compare blockchain transactions with activity recorded inside its application, while a compliance team could build searches for transfers involving specified addresses. The accuracy of any resulting report would still depend on the query design, address labels, and other data added by the user.

Google Cloud began placing blockchain records in BigQuery in 2018 with Bitcoin and later added Ethereum and other networks. In 2023, the company added 11 blockchain datasets, including Avalanche, Arbitrum, Optimism, Polygon, Polkadot, and Tron.

The SQD arrangement follows other efforts to connect decentralized data sources with cloud services. In July 2025, crypto.news covered OORT’s dataset listing on Google Cloud Analytics Hub and several other enterprise marketplaces. OORT’s offering contained 100,000 user-contributed data points, with their contributions recorded onchain to help users check the source and structure of the information.

Google Cloud has also built services that give applications direct access to blockchain networks. In September 2024, it launched an Ethereum RPC that initially supported the Ethereum mainnet and test networks. The preview offered a free tier of up to 100 requests per second and one million requests per day.

The RPC service and BigQuery datasets serve different tasks. RPC endpoints allow applications to request current blockchain information and submit transactions, while indexed datasets are designed for searches across large amounts of historical data.

BigQuery data supports enterprise and agent-based analysis

For U.S. developers and companies already using Google Cloud, the integration places SQD-supplied records inside a familiar analytics service rather than requiring a separate blockchain-data system. Google’s documentation says users can reach public datasets through the Cloud console, command-line tools or the BigQuery API.

Google pays the storage costs for datasets included in its Public Dataset Program, while users pay for the queries they run. The first one terabyte of query processing each month is free under Google Cloud’s current pricing structure, although access can be limited by an organization’s own security controls.

Dataset location also matters for American users, with internal policies governing where information is processed. Google says every public dataset has an assigned region, while its BigQuery sample tables are held in the U.S. multi-region. SQD’s announcement did not specify the storage location for each contributed blockchain dataset.

Agent-based access forms another part of the planned work. In May, earlier coverage reported that Solana Foundation and Google Cloud launched Pay.sh, which lets AI agents pay for APIs with stablecoins and supports services including BigQuery, Gemini and Vertex AI.

Under the SQD roadmap, additional agent functions could allow automated software to retrieve and analyze verified blockchain records inside Google Cloud. SQD did not explain which functions will be released, which AI systems will support them, or when they will become available.

More blockchain networks are also due to join the integration, according to the announcement. SQD has not named the next chains, disclosed how they will be selected, or provided a release schedule.