SQD has made validated onchain data from 10 blockchain networks available through Google Cloud’s BigQuery platform, giving developers and businesses access to complete chain histories that have passed six cryptographic checks.
The company said on 24 August that its enterprise division, SQD 360, is supplying the indexing technology and data pipelines used in datasets offered through Google Cloud Web3 Blockchain Analytics.
The first release includes records dating back to the genesis block of each of the 10 networks. That means users can analyse the full available history of those blockchains, rather than data gathered only from the point at which the networks were connected to the service.
SQD has not disclosed the identities of all 10 networks or said when the next group will be added.
Before the information is transferred to BigQuery, every block is subjected to six cryptographic checks, according to SQD. The process compares information from several sources and examines transaction roots and state roots – cryptographic values designed to confirm that a block’s records accurately reflect the underlying state of the blockchain.
The checks are intended to identify missing, inaccurate or inconsistent information before it is used in analytics systems. New blocks must continue to pass the same validation process as the datasets are updated.
Once the information is stored in BigQuery, it can be analysed in the same cloud environment used for business intelligence, machine learning and large-scale data processing. Developers can search blockchain activity without building their own indexer, keeping a complete copy of a chain’s history or running separate infrastructure for every 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.
Neither company disclosed financial details, revenue-sharing arrangements or service-level commitments specifically linked to the partnership.
SQD runs a decentralised data network designed to collect, verify, store and deliver information generated by blockchains and Web3 applications. Rather than depending on a single central database, its infrastructure divides those responsibilities between data providers, independent worker nodes and gateways.
According to SQD Network documentation, data providers submit blockchain records before a scheduler allocates parts of each dataset to worker nodes. Those workers provide storage and computing capacity, retain copies of their assigned data and respond to requests sent through gateways.
A worker must bond 100,000 SQD tokens to register on the network. Rewards are based on factors including uptime, the volume of data served and delegated tokens. Workers can also be penalised when violations of network rules are proved.
Gateways link users of the data with the worker network. The quantity of SQD locked by a gateway operator determines the number of requests it can issue, connecting query capacity to the network’s token-based resource model.
SQD says its wider data service supports more than 130 networks, although the first Google Cloud contribution contains only 10. Its Portal product provides historical and real-time data from ecosystems including Ethereum Virtual Machine, Solana, Substrate and Bitcoin-based networks.
The company’s system differs from a conventional blockchain node, which may offer raw or recently generated network information. SQD turns blockchain records into structured datasets covering blocks, transactions, logs, traces and changes in blockchain state. That structure enables analysts to search long periods and compare activity without repeatedly processing raw chain files.
Google Cloud describes Blockchain Analytics as a service that places indexed blockchain data in BigQuery, where it can be queried using SQL. Users can examine blocks, transactions, event logs and call traces without operating nodes or creating an indexer for each protocol.
BigQuery also allows onchain data to be combined with a company’s internal information. A wallet provider could compare blockchain transactions with activity stored in its own application, while a compliance department could search for transfers involving selected addresses. The reliability of any report would still depend on the design of the query, the quality of address labels and other information supplied by the user.
Google Cloud began adding blockchain data to BigQuery in 2018, starting with Bitcoin and later expanding to Ethereum and other networks. In 2023, it added 11 blockchain datasets, including Avalanche, Arbitrum, Optimism, Polygon, Polkadot and Tron.
The SQD partnership is part of a broader push to connect decentralised data sources with cloud services. In July 2025, crypto.news reported that OORT had listed a dataset on Google Cloud Analytics Hub and several other enterprise marketplaces. That offering contained 100,000 user-contributed data points, with the contributions recorded onchain to help users verify the source and structure of the information.
Google Cloud has also developed services providing applications with direct access to blockchain networks. In September 2024, it launched an Ethereum RPC service supporting the Ethereum mainnet and test networks at launch. The preview included a free tier allowing up to 100 requests per second and one million requests per day.
RPC services and BigQuery datasets have separate purposes. RPC endpoints allow applications to request current blockchain information and submit transactions, while indexed datasets are intended for searching large volumes of historical records.
For US developers and companies already operating on Google Cloud, the integration puts SQD’s records into a familiar analytics platform instead of requiring a separate blockchain-data system. Google’s documentation says public datasets can be accessed through the Cloud console, command-line tools or the BigQuery API.
Google covers storage costs for datasets included in its Public Dataset Program, while users pay for the queries they run. Under Google Cloud’s current pricing structure, the first 1TB of query processing each month is free, although an organisation’s security policies may restrict access.
The location of each dataset is also relevant to US users because internal policies can determine where information is processed. Google says every public dataset is assigned a region, while BigQuery sample tables are stored in the US multi-region. SQD’s announcement did not state where each contributed blockchain dataset would be stored.
Planned work also includes access through software agents. Earlier coverage in May reported that Solana Foundation and Google Cloud had launched Pay.sh, enabling artificial intelligence agents to pay for APIs with stablecoins and supporting services including BigQuery, Gemini and Vertex AI.
Under SQD’s roadmap, further agent-based features could allow automated software to retrieve and analyse verified blockchain records within Google Cloud. SQD has not said which functions will be introduced, which AI systems will support them or when they will be available.
The announcement also said more blockchain networks would eventually be added to the integration. SQD has not named the next chains, explained how they will be chosen or provided a timetable for their release.
