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.
Validated Blockchain Data in BigQuery
SQD said 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, 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. Once loaded into BigQuery, the records become available through the same cloud environment used for business intelligence, machine learning, and large-scale data analysis.
SQD's Decentralized Data Network
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. Data providers submit blockchain records before a scheduler assigns pieces of each dataset to worker nodes. Workers supply storage and computing resources 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, with the amount of SQD locked by a gateway operator determining how many requests it can send.
Google Cloud's Blockchain Analytics History
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.
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 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.
Enterprise and AI Agent Use Cases
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. BigQuery can also combine onchain records with a company's internal data. A wallet service could compare blockchain transactions with activity recorded inside its application, while a compliance team could build searches for transfers involving specified addresses. SQD plans to add more networks and tools designed for AI agents, expanding the use cases beyond traditional business intelligence.
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