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Reading: Google BigQuery adds support for ZeroG on-chain data analytics
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Blockchain

Google BigQuery adds support for ZeroG on-chain data analytics

May 17, 2026 4 Min Read
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Table of Contents

Toggle
  • BigQuery expands blockchain information capabilities
  • Impression on Web3 builders and enterprises
    • Wider context: Google Cloud’s Web3 technique
  • conclusion
  • FAQ

Google Cloud has built-in assist for on-chain information from ZeroG (0G) blockchains into its BigQuery information warehouse, in keeping with an announcement by Chief Know-how Officer Ming Wu on X. This transfer will allow builders and analysts to question and analyze ZeroG transaction information straight inside Google’s cloud infrastructure with out the necessity for third-party indexing instruments.

BigQuery expands blockchain information capabilities

BigQuery, Google Cloud’s absolutely managed serverless information warehouse, already helps public datasets from a number of main blockchain networks, together with Bitcoin, Ethereum, and Polygon. The addition of ZeroG marks our continued growth into the Web3 analytics house, particularly for networks centered on distributed storage and high-throughput information availability.

ZeroG is a layer 1 blockchain designed to assist decentralized purposes that require scalable information storage and retrieval. By making on-chain information out there via BigQuery, ZeroG goals to decrease the barrier for builders constructing data-intensive purposes akin to decentralized AI fashions, gaming platforms, and provide chain monitoring techniques.

Impression on Web3 builders and enterprises

For builders, this integration eliminates the necessity to run a full node or depend on third-party APIs to entry on-chain historic information. Queries may be executed utilizing commonplace SQL, decreasing the educational curve for groups already aware of the BigQuery ecosystem. That is notably related for corporations contemplating blockchain adoption however missing devoted blockchain infrastructure.

Analysts can now mix ZeroG on-chain metrics with different datasets saved in BigQuery, akin to person conduct logs and monetary information, to generate extra complete insights. For instance, builders can analyze transaction quantity together with utility efficiency information to optimize the design of distributed purposes.

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Wider context: Google Cloud’s Web3 technique

Google Cloud has been steadily constructing out its Web3 infrastructure providing. In 2022, the corporate launched a devoted digital property crew and partnered with blockchain networks to offer node internet hosting providers. BigQuery blockchain datasets have grow to be a key differentiator, offering clear and queryable entry to on-chain exercise to assist analysis, compliance, and product improvement.

This newest addition reveals that Google Cloud sees worth in supporting rising blockchain networks past established leaders. For ZeroG, this partnership will increase credibility and offers entry to a big pool of potential enterprise customers already inside Google’s ecosystem.

conclusion

Integrating ZeroG on-chain information into Google BigQuery offers sensible instruments for builders and analysts who need to work with blockchain information in a well-recognized cloud setting. As Web3 continues to intersect with mainstream cloud computing, such integrations might grow to be extra widespread, bridging the hole between distributed information and conventional analytical workflows.

FAQ

Q1: What’s Google BigQuery?
Google BigQuery is a completely managed, serverless information warehouse that allows scalable evaluation of enormous datasets utilizing SQL queries. Helps public datasets from quite a lot of sources, together with blockchain networks.

Q2: What’s ZeroG (0G) chain?
ZeroG is a layer 1 blockchain centered on decentralized information storage and high-throughput availability, designed to assist purposes akin to decentralized AI, gaming, and provide chain monitoring.

Q3: How does this integration profit builders?
Builders can question ZeroG on-chain information straight through BigQuery utilizing commonplace SQL, eliminating the necessity to run a full node or depend on third-party APIs. This simplifies information evaluation and reduces infrastructure prices.

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