Google Cloud adds 11 new blockchains to its BigQuery data analysis service

Ethereum developers do not plan to release the long-awaited Dencun upgrade this year.

Google Cloud adds 11 new blockchains to its BigQuery data analysis service
Google Cloud adds 11 new blockchains to its BigQuery data analysis service

Google Cloud's BigQuery data analytics service now supports 11 new blockchains, making it easier to access and develop data on these ecosystems.

Google Cloud recently announced that it has added support for 11 new blockchains to its BigQuery service. The new blockchains include Avalanche, Arbitrum, Cronos, Ethereum (Goerli), Fantom (Opera), Near, Optimism, Polkadot, Polygon Mainnet, Polygon Mumbai, and Tron.

With this expansion, BigQuery is now able to provide developers and analysts with easier and more comprehensive access to blockchain data from a wide range of networks. The data includes information about transactions, wallet addresses, tokens, and smart contracts.

Recall that BigQuery Google Cloud has had support for several blockchains since early 2018, when Google Cloud worked with the community to democratize data on them. In 2019, this access was expanded with six more data sets and now, this new support is added, which adds to Google Cloud's efforts to continue supporting and expanding support for this technology.

Advantages for users and developers

Support for 11 new blockchains has a number of benefits for BigQuery users. First, it allows developers and analysts to explore and analyze blockchain data from a wider range of networks. This can help users better understand market trends, identify investment opportunities, and conduct research on blockchain security and governance.

For example, a financial analyst could use blockchain data to analyze the performance of cryptocurrencies on different networks. An app developer could use blockchain data to develop an app that tracks the use of NFT tokens on different networks. Additionally, a researcher could use blockchain data to study the evolution of blockchain governance on different networks.

Secondly, the new support makes it easier for developers and analysts to access blockchain data. Users do not need to install and configure their own blockchain node to access the data. This can save users time and effort and can make blockchain data more accessible to a wider audience.

For example, a game developer could use blockchain data to create a game that allows players to trade digital assets across different networks. Similarly, a cryptocurrency enthusiast could use blockchain data to track their investments across different networks.

And finally, this new development will help boost blockchain adoption. By making blockchain data more accessible and easier to use, Google Cloud is helping to create a more robust ecosystem for blockchain.

New potential with Google Cloud BigQuery

Here are some of the ways users can take advantage of support for 11 new blockchains in BigQuery:

  • Market analysis: Users can use blockchain data to analyze market trends, identify investment opportunities, and conduct research on blockchain security and governance. For example, a financial analyst could use blockchain data to analyze the performance of cryptocurrencies on different networks.
  • Product and service development: Users can use blockchain data to develop innovative products and services that leverage blockchain technology. For example, a game developer could use blockchain data to create a game that allows players to trade digital assets across different networks.
  • Investigation: Users can use blockchain data to conduct research on a wide range of topics, including economics, politics, and society. For example, a researcher could use blockchain data to study the evolution of blockchain governance on different networks.

Google Cloud is committed to providing users with easy and comprehensive access to blockchain data. The addition of support for 11 new blockchains is an important step in this commitment.

Continue reading: Ethereum announces grants to transform itself through account abstraction